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. 2026 Aug 18;18(16):2675. doi: 10.3390/cancers18162675

Biological and Targeted Therapies in the Multidisciplinary Management of Gastrointestinal Cancers

Marek Kos 1, Krzysztof Bojarski 2, Milena Czosnek 3,4, Jan Śnieżyński 5,6, Bartosz Wilczyński 5, Paulina Mertowska 3, Ewelina Grywalska 3, Sebastian Mertowski 3,*
Editor: Adam Barsouk
PMCID: PMC13511749  PMID: 42649986

Simple Summary

Gastrointestinal cancers are among the most common and deadly cancers worldwide. Their treatment is becoming increasingly complex because many new therapies no longer depend only on the organ in which the tumor develops, but also on specific biological features of the cancer cells. This review explains how modern biological and targeted therapies work in gastrointestinal cancers, which biomarkers help identify patients who may benefit from them, and how these treatments can be combined with surgery, chemotherapy, radiotherapy, or immunotherapy. The aim is to provide a clear overview of current and emerging treatment strategies, including immune checkpoint inhibitors, anti-HER2 therapies, antiangiogenic drugs, anti-EGFR antibodies, and newer approaches targeting CLDN18.2 and FGFR2b. By summarizing mechanisms, biomarkers, and clinical use, this review may help researchers and clinicians better understand the changing landscape of personalized treatment for gastrointestinal cancers.

Keywords: gastrointestinal cancers, targeted therapy, biological therapy, immunotherapy, immune checkpoint inhibitors, predictive biomarkers, precision oncology, surgery

Abstract

Gastrointestinal (GI) cancers represent a diverse group of malignancies that remain a major cause of cancer-related morbidity and mortality worldwide. Their management is increasingly complex, reflecting differences in tumor biology, anatomical location, stage, and molecular profile. In recent years, advances in molecular diagnostics, immunotherapy, and targeted treatment have moved clinical decision-making beyond a purely organ- and stage-based approach toward more individualized, biomarker-guided care. This narrative review summarizes established and emerging biological and targeted therapies used in esophageal, gastric and gastroesophageal junction, colorectal, pancreatic, hepatocellular, and biliary tract cancers. It focuses on immune checkpoint inhibitors targeting PD-1, PD-L1, and CTLA-4; HER2-directed monoclonal antibodies and antibody–drug conjugates; antiangiogenic and anti-EGFR therapies; and newer strategies involving CLDN18.2, FGFR2b, and tumor-agnostic alterations such as NTRK fusions. The review also considers the predictive biomarkers used to guide treatment selection and the growing integration of systemic therapy with surgery in neoadjuvant, perioperative, adjuvant, and conversion settings. However, clinical efficacy alone does not determine whether new treatments become part of routine practice. Regulatory approval, reimbursement, access to molecular testing, and the availability of specialized multidisciplinary care are equally important. The rapidly evolving treatment landscape for GI cancers therefore requires clinical decisions that account for tumor biology, anatomical resectability, molecular eligibility, expected benefit, treatment-related toxicity, and local access to therapy. Expanding access to comprehensive biomarker testing and effective molecularly guided treatments will be essential to translate progress in precision oncology into more personalized and equitable care for patients with GI cancers.

1. Introduction

Gastrointestinal (GI) cancers constitute a heterogeneous group of malignancies that differ substantially in their anatomical origin, histological characteristics, molecular landscape, clinical course, and sensitivity to treatment. They encompass a heterogeneous group of clinicopathological entities, including esophageal cancer, gastric and gastroesophageal junction cancer, colorectal cancer, pancreatic cancer, hepatocellular carcinoma, and biliary tract cancer [1,2,3]. According to Global Cancer Observatory (GLOBOCAN) 2022 data, nearly 20 million new cancer cases and approximately 9.7 million cancer-related deaths were recorded worldwide [4]. GI cancers represent a particularly significant portion of this burden, accounting globally for approximately one-quarter of new cancer cases and one-third of cancer deaths; for the five main GI sites—colorectal, stomach, liver, esophagus, and pancreas—approximately 4.8 million cases and 3.4 million deaths were estimated. Projections further indicate that by 2050, the global number of new GI cancer cases could increase to approximately 9.06 million, and the number of deaths to 6.42 million. The high mortality rate of many GI cancers is due to late diagnosis, aggressive tumor biology, the ability to infiltrate and metastasize early, and limited treatment efficacy in some patients with advanced disease [3,4,5]. For many years, treatment strategies for GI cancers were determined predominantly by tumor location, histological type, clinical stage, and anatomical resectability. Surgery remains the principal curative-intent treatment for most localized GI malignancies, whereas chemotherapy and radiotherapy continue to play important roles in neoadjuvant, perioperative, adjuvant, and palliative settings. However, contemporary management increasingly requires the coordinated use of surgery, systemic therapy, radiotherapy, locoregional interventions, and molecular diagnostics within multidisciplinary treatment pathways. Consequently, therapeutic decisions are no longer based solely on whether a tumor can be technically resected, but also on its biological characteristics, predicted sensitivity to systemic treatment, potential for downstaging or conversion to resectability, and the risks associated with perioperative therapy [6,7,8].

Advances in molecular profiling, next-generation sequencing (NGS), immuno-oncology and biomarker-based drug development have transformed the therapeutic landscape of GI cancers. Clinically relevant biomarkers now include microsatellite instability-high (MSI-H) and deficient mismatch repair (dMMR) status, programmed death-ligand 1 (PD-L1) expression, human epidermal growth factor receptor 2 (HER2) status, mutations in KRAS, NRAS, and BRAF, neurotrophic tyrosine receptor kinase (NTRK) gene fusions, claudin 18.2 (CLDN18.2) expression, fibroblast growth factor receptor 2 (FGFR2) alterations, isocitrate dehydrogenase 1 (IDH1) mutations, and defects in homologous recombination repair (HRR), including alterations in BRCA1, BRCA2, and PALB2 [9,10,11].

These biomarkers may identify patients eligible for immune checkpoint inhibitors (ICIs), monoclonal antibodies (mAbs), antibody–drug conjugates (ADCs), antiangiogenic agents, tyrosine kinase inhibitors (TKIs), and other molecularly targeted treatments. The introduction of tumor-agnostic therapies has further challenged the traditional organ-based model by allowing treatment selection according to a specific molecular alteration rather than the primary tumor site [12,13].

Despite this progress, several clinically important issues are often discussed separately. Reviews focusing on molecular mechanisms may provide limited information on how targeted and biological therapies alter surgical decision-making. Conversely, clinically oriented reviews may summarize treatment recommendations without critically integrating the biological basis of patient selection, the limitations of predictive biomarkers, or the discrepancy between regulatory approval and actual access to treatment. In addition, the presence of an actionable biomarker and the authorization of a drug by the United States Food and Drug Administration (FDA) or the European Medicines Agency (EMA) do not necessarily translate into routine clinical availability. Reimbursement rules, access to validated molecular testing, treatment-line restrictions, and national funding criteria may substantially limit the implementation of precision oncology in real-world practice.

Another unresolved challenge concerns the interpretation of predictive biomarkers across different GI malignancies. MSI-H and dMMR status represent robust predictors of benefit from immune checkpoint blockade in selected clinical settings, whereas the predictive value of PD-L1 expression varies according to tumor type, histological subtype, scoring system, treatment regimen, and line of therapy. PD-L1 expression may be assessed using different scoring approaches, including the combined positive score (CPS) and tumor proportion score (TPS), which are not interchangeable and have different clinical relevance depending on the cancer type and therapeutic regimen. Similarly, the clinical relevance of HER2, KRAS, NRAS, BRAF, CLDN18.2, FGFR2, IDH1, BRCA1, BRCA2, PALB2, KRAS G12C, and NTRK alterations depends on the disease context and the availability of matched therapies. Therefore, a comprehensive assessment of modern GI oncology requires not only the identification of therapeutic targets, but also critical evaluation of biomarker validity, treatment setting, surgical implications, regulatory status, and practical accessibility.

The aim of this narrative review is to critically synthesize current and emerging biological and molecularly targeted therapies in major GI cancers. The review focuses on four interconnected dimensions: the mechanisms of action of selected therapeutic classes; the predictive biomarkers used for patient selection; the influence of systemic therapies on neoadjuvant, perioperative, adjuvant, conversion, and secondary resection strategies; and the distinction between regulatory authorization and real-world therapeutic availability. By integrating molecular oncology, multidisciplinary surgical decision-making, and treatment accessibility, this review aims to provide a clinically oriented framework for interpreting the rapidly evolving landscape of precision therapy in GI cancers.

2. Materials and Methods

2.1. Review Design and Scope

This study was designed as a narrative review of biological and molecularly targeted therapies used or investigated in GI cancers. The review was conducted in accordance with the general principles of methodological transparency for narrative reviews and was structured with reference to the Scale for the Assessment of Narrative Review Articles (SANRA) [14]. Owing to the narrative character of the study, no formal meta-analysis, quantitative evidence synthesis, or systematic risk-of-bias assessment was performed.

The review focused on esophageal cancer, gastric cancer (GC), gastroesophageal junction (GEJ) cancer, colorectal cancer (CRC), pancreatic ductal adenocarcinoma (PDAC), hepatocellular carcinoma (HCC), and biliary tract cancer (BTC). Anal cancer, gastrointestinal stromal tumors, neuroendocrine tumors, and selected rare GI malignancies were considered only when they illustrated clinically relevant mechanisms of action, biomarker-driven treatment, or tumor-agnostic therapeutic strategies. The main areas of analysis included the mechanisms of action of biological and targeted therapies, predictive biomarkers used for patient selection, integration of systemic therapies with surgical treatment, regulatory authorization by the United States Food and Drug Administration (FDA) and the European Medicines Agency (EMA), and therapeutic accessibility within the Polish reimbursement system.

2.2. Literature Search Strategy

A structured literature search was conducted using the PubMed and Web of Science databases. No restriction on publication date was applied, allowing the inclusion of both seminal publications and recent evidence relevant to the development and current clinical application of biological and targeted therapies in GI cancers. The search strategy combined terms related to GI malignancies with terms describing biological therapies, molecularly targeted treatments, predictive biomarkers, precision oncology, and surgical integration. The principal search terms included combinations of the following keywords and Medical Subject Headings, where applicable: “gastrointestinal cancer,” “gastrointestinal malignancy,” “esophageal cancer,” “gastric cancer,” “gastroesophageal junction cancer,” “colorectal cancer,” “pancreatic cancer,” “hepatocellular carcinoma,” “biliary tract cancer,” “cholangiocarcinoma,” “biological therapy,” “targeted therapy,” “precision oncology,” “predictive biomarker,” “immunotherapy,” “immune checkpoint inhibitor,” “PD-1,” “PD-L1,” “CTLA-4,” “MSI-H,” “dMMR,” “HER2,” “EGFR,” “VEGF,” “VEGFR,” “CLDN18.2,” “FGFR2,” “IDH1,” “BRAF,” “KRAS G12C,” “BRCA,” “PARP inhibitor,” “NTRK fusion,” “tumor-agnostic therapy,” “neoadjuvant treatment,” “perioperative treatment,” “conversion therapy,” “secondary resection,” and “surgery.”

Boolean operators “AND” and “OR” were used to combine terms describing individual tumor types, therapeutic targets, biomarkers, treatment settings, and surgical strategies. Additional publications were identified by manually screening the reference lists of relevant reviews, clinical guidelines, pivotal clinical trials, and regulatory documents.

2.3. Study Selection, Data Synthesis, and Assessment of Regulatory and Reimbursement Status

Publications were eligible if they addressed the mechanisms, biomarkers, clinical application, safety, or surgical integration of biological and molecularly targeted therapies in GI cancers. Studies concerning regulatory approval, reimbursement, precision oncology, molecular profiling, liquid biopsy, and longitudinal biomarker monitoring were also considered. Priority was given to clinical guidelines, official regulatory documents, pivotal clinical trials, prospective studies, meta-analyses, systematic reviews, and high-quality narrative reviews. Relevant preclinical and translational studies were included when necessary to explain a therapeutic mechanism, support the biological rationale for a biomarker, or describe an emerging target.

Studies unrelated to GI malignancies or targeted treatment, reports of limited methodological or clinical relevance, non-informative abstracts, and duplicate publications were excluded. Conventional chemotherapy and radiotherapy were considered only when discussed as part of combined biological, targeted, or surgical treatment strategies. Titles and abstracts were screened for relevance, followed by full-text assessment of potentially eligible publications. The search was limited to English-language articles, and disagreements regarding study inclusion were resolved by consensus between the authors. Data were synthesized according to cancer type, therapeutic class, molecular target, mechanism of action, predictive biomarker, clinical application, relationship with surgical management, regulatory status, and therapeutic availability in Poland. The evidence was organized primarily by therapeutic mechanism and clinical relevance, with particular attention to differences in biomarker significance across GI cancers and to the distinction between established and investigational therapies. Regulatory status was assessed using official sources from the United States Food and Drug Administration (FDA) and the European Medicines Agency (EMA) [15,16]. For each therapy, it was determined whether the medicinal product had received marketing authorization from the respective agency. This assessment was general and did not constitute a detailed analysis of indication-specific approval, treatment line, biomarker requirements, or authorization conditions.

Therapeutic accessibility in Poland was assessed using official reimbursement documents published by the Polish Ministry of Health, including reimbursement lists [17]. The analysis was based on documents valid as of 1 January 2026 and focused on whether a medicinal product was present on the analyzed reimbursement lists. The presence of a drug on such a list was not interpreted as confirmation of reimbursement for every registered GI cancer indication. Therefore, the results reflect general listing status rather than indication-specific funding conditions. Because regulatory and reimbursement information may change over time, the reported status should be interpreted as applicable only to the defined assessment date.

3. Results

3.1. Clinical and Molecular Landscape of GI Cancers

GI cancers comprise a heterogeneous group of malignancies that differ substantially in anatomical origin, predominant histology, molecular background, biological behavior, metastatic pattern, and sensitivity to treatment. The principal entities discussed in this review include esophageal cancer, GC and GEJ cancer, CRC, PDAC, HCC, and BTCs. Selected rarer malignancies, including anal cancer, small bowel cancer, gastrointestinal stromal tumors (GISTs), and neuroendocrine neoplasms, are also considered because they illustrate distinct mechanisms of carcinogenesis and biomarker-dependent treatment [3,11,18]. The extent to which molecular and immunological features influence clinical decision-making varies considerably across these malignancies. In some GI cancers, molecular stratification is routinely used to guide treatment selection, whereas in others it remains restricted to selected subgroups or has predominantly prognostic and biological relevance. The role of surgery and multimodal treatment also differs according to tumor type, disease stage, anatomical resectability, and the availability of effective systemic therapies. Table 1 provides a comparative overview of these clinicopathological, molecular, and therapeutic differences and highlights the unequal maturity of biomarker-guided treatment across GI oncology [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43].

Table 1.

Clinicopathological characteristics, molecular stratification, and therapeutic context of major gastrointestinal cancers.

Cancer Type Predominant Histology Principal Biological and Clinical Characteristics Role of Surgery and Multimodal Treatment Key Therapeutic Biomarkers and Molecular Alterations Molecular Stratification in Current Practice References
EC Squamous cell carcinoma and adenocarcinoma Comprises two biologically distinct histological subtypes with different epidemiology, risk factors, molecular profiles, and sensitivity to systemic treatment Surgery is an important component of curative-intent treatment in resectable disease and is commonly integrated with neoadjuvant chemoradiotherapy or perioperative chemotherapy; adjuvant immunotherapy may be used in selected settings PD-L1, MSI-H/dMMR; HER2 in selected distal esophageal and gastroesophageal junction adenocarcinomas Moderate and strongly dependent on histological subtype, disease stage, and treatment setting [19,23,27,28]
GC/GEJ cancer Predominantly adenocarcinoma Characterized by marked intertumoral and intratumoral heterogeneity and by the coexistence of partially overlapping biomarker-defined subgroups Surgery remains the mainstay of curative-intent treatment in resectable disease and is usually combined with perioperative chemotherapy; immunotherapy and biomarker-directed treatment are increasingly used in advanced disease HER2, PD-L1 CPS, MSI-H/dMMR, CLDN18.2, FGFR2b; EBV-associated subtype in selected molecular classifications Advanced and rapidly expanding, with parallel testing of several biomarkers increasingly required [18,19,20,21,22,23,29,30]
CRC Predominantly adenocarcinoma One of the best-characterized molecularly heterogeneous GI cancers, with clinically relevant differences related to primary tumor sidedness, genomic profile, and metastatic pattern Surgery is the mainstay of treatment for localized disease; resection of selected liver or lung metastases may be feasible. Adjuvant therapy, neoadjuvant treatment in rectal cancer, and conversion therapy are used in selected clinical settings KRAS, NRAS, BRAF, MSI-H/dMMR, HER2 alterations, KRAS G12C, NTRK fusions, and PIK3CA alterations in selected contexts Highly advanced and routinely incorporated into systemic treatment selection [25,26,34,35,36,37]
PDAC Ductal adenocarcinoma Characterized by aggressive biology, early metastatic spread, a dense stromal microenvironment, and a relatively low frequency of clinically actionable alterations Surgical resection is the only potentially curative treatment but is feasible in a minority of patients; adjuvant chemotherapy and induction or neoadjuvant treatment are used in resectable or borderline resectable disease KRAS mutations in most tumors; MSI-H/dMMR, BRCA1, BRCA2, PALB2, NTRK fusions, HER2 alterations, and other homologous recombination repair defects in small subgroups Limited to selected molecular subgroups [31,32,33]
HCC Hepatocellular carcinoma Frequently develops in chronically diseased or cirrhotic liver and is characterized by substantial molecular heterogeneity and complex interactions with the hepatic immune microenvironment Resection, transplantation, and local ablation may provide curative treatment in selected patients with early-stage disease; locoregional and systemic therapies are used in intermediate and advanced stages AFP in selected clinical contexts; TERT promoter, CTNNB1, TP53, and other alterations mainly of biological or prognostic relevance; GPC3 under investigation; no routinely established predictive biomarker for most systemic regimens Limited for predictive treatment selection; therapeutic decisions remain driven mainly by tumor stage and liver function [38,39]
BTCs Intrahepatic and extrahepatic cholangiocarcinoma and gallbladder carcinoma Represent a heterogeneous group with substantial anatomical, histological, and molecular differences between subtypes Complete surgical resection remains the only potentially curative treatment but is available to a limited proportion of patients; chemotherapy combined with immunotherapy is used in advanced disease, followed by molecularly targeted therapy in selected subgroups FGFR2 fusions and IDH1 mutations, particularly in intrahepatic cholangiocarcinoma; HER2 alterations, BRAF V600E, MSI-H/dMMR, and NTRK fusions in selected tumors Increasingly advanced, particularly in intrahepatic cholangiocarcinoma [24,40,41,42,43]

Abbreviations: AFP, alpha-fetoprotein; BTCs, biliary tract cancers; CLDN18.2, claudin 18.2; CPS, combined positive score; CRC, colorectal and rectal cancer; dMMR, deficient mismatch repair; EBV, Epstein–Barr virus; EC, esophageal cancer; FGFR2, fibroblast growth factor receptor 2; FGFR2b, fibroblast growth factor receptor 2b; GC, gastric cancer; GEJ, gastroesophageal junction; GI, gastrointestinal; GPC3, glypican-3; HCC, hepatocellular carcinoma; HER2, human epidermal growth factor receptor 2; MSI-H, microsatellite instability-high; NTRK, neurotrophic tyrosine receptor kinase; PDAC, pancreatic ductal adenocarcinoma; PD-L1, programmed death-ligand 1.

3.2. Biologics and Targeted Therapies by Mechanism of Action

Biological and molecularly targeted therapies have expanded treatment options for selected patients with GI cancers by interfering with specific immune checkpoints, receptors, ligands, signaling pathways, or molecular drivers of tumor growth. Unlike conventional cytotoxic chemotherapy, these strategies require increasingly precise patient selection based on tumor type, disease setting, molecular profile, and the availability of a validated predictive biomarker. Their clinical relevance therefore differs substantially across individual GI malignancies, ranging from established standards of care to treatments restricted to small molecular subgroups or ongoing clinical trials [11,44,45].

3.2.1. Immune Checkpoint Inhibitors

ICIs have transformed the treatment of several GI cancers by restoring antitumor T-cell activity. The PD-1/PD-L1 and CTLA-4 pathways regulate different stages of the immune response. CTLA-4 primarily limits early T-cell activation by competing with CD28 for binding to CD80 and CD86 on APCs. In contrast, PD-1 signaling acts mainly during the effector phase. Binding of PD-1 to PD-L1 or PD-L2 suppresses T-cell proliferation, cytokine production, and cytotoxic activity within the TME. Tumor and immune cells may exploit these inhibitory pathways to promote immune escape and tumor survival [46,47,48,49].

Blockade of PD-1 or PD-L1 interrupts inhibitory signaling and may restore effector T-cell function, whereas CTLA-4 blockade enhances T-cell priming and costimulation. Combined inhibition of these pathways may produce complementary immune activation, but it is also associated with a higher incidence of irAEs than monotherapy [48,49,50,51,52]. The principal mechanisms of tumor immune escape and their reversal by ICIs are summarized in Figure 1.

Figure 1.

Figure 1

Mechanisms of immune checkpoint blockade in GI cancers [23,47,48,49,50,51,52]. During T-cell priming, CTLA-4 competes with CD28 for binding to B7 ligands on APCs, thereby limiting costimulation and T-cell activation. In the TME, PD-1/PD-L1 signaling promotes effector T-cell dysfunction, reduced cytokine production, impaired cytotoxicity, and tumor immune escape. CTLA-4 blockade restores CD28-mediated costimulation and promotes T-cell activation and proliferation, whereas PD-1 or PD-L1 blockade restores effector T-cell activity, enhances the release of IFN-γ, granzymes, and perforin, and promotes tumor cell lysis. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026).

MSI-H/dMMR is the most consistently validated predictive biomarker of response to immune checkpoint blockade in GI oncology. Defective MMR promotes the accumulation of somatic mutations and neoantigens, thereby increasing tumor immunogenicity [53,54]. The approval of pembrolizumab for previously treated, unresectable or metastatic MSI-H/dMMR solid tumors marked a major step toward tumor-agnostic therapy [55]. In CRC, MSI-H/dMMR is routinely used to identify candidates for immunotherapy, whereas most MSS tumors remain poorly responsive to monotherapy with PD-1/PD-L1 inhibitors; combination strategies aimed at overcoming this resistance are still largely investigational [55,56,57,58].

The predictive value of PD-L1 is less uniform and depends on tumor type, histology, assay, scoring system, treatment regimen, and line of therapy. In GC, GEJ cancer, and ESCC, PD-L1 is commonly assessed using CPS, although clinically relevant thresholds vary between indications. Accordingly, PD-L1 should be interpreted within the context of the specific therapeutic setting rather than as an independent universal biomarker [59,60,61,62].

In HCC, ICIs are used mainly combined with antiangiogenic therapy or CTLA-4 blockade, despite the absence of a routinely validated predictive biomarker [63,64]. In advanced BTCs, checkpoint inhibition is primarily combined with gemcitabine and cisplatin, while MSI-H/dMMR may identify a rare subgroup with particularly high sensitivity [46,65,66]. By contrast, PDAC remains largely resistant to immunotherapy because of its low immunogenicity, dense stroma, limited T-cell infiltration, and immunosuppressive TME; ICIs currently have an established role mainly in the rare MSI-H/dMMR subgroup [67,68]. CTLA-4 inhibitors, including ipilimumab and tremelimumab, are used more often in combination with PD-1 or PD-L1 blockade than as monotherapy. Although this approach may enhance antitumor activity through complementary immune mechanisms, it also increases the risk of irAEs [48,51,52].

3.2.2. HER2-Targeted Therapies and Antibody–Drug Conjugates

HER2, encoded by the ERBB2 gene, is a member of the epidermal growth factor receptor family and regulates cell proliferation, survival, differentiation, and migration. HER2 overexpression or amplification promotes receptor dimerization and persistent activation of the PI3K/AKT/mTOR and RAS/RAF/MEK/ERK pathways, thereby supporting tumor growth, invasion, resistance to apoptosis, and metastatic progression. In GI oncology, HER2 has the greatest established clinical relevance in GC and GEJ adenocarcinomas, although HER2-directed strategies are also increasingly used or investigated in selected CRC and BTC subgroups (Figure 2) [69,70,71,72].

Figure 2.

Figure 2

Mechanisms of HER2-directed therapies in GI cancers [69,70,71,72]. HER2 overexpression or ERBB2 amplification promotes receptor homo- or heterodimerization and activates the PI3K/AKT/mTOR and RAS/RAF/MEK/ERK pathways. Anti-HER2 mAbs inhibit receptor signaling, interfere with receptor dimerization, and may promote ADCC. ADCs deliver cytotoxic payloads into HER2-expressing cells, resulting in DNA damage, apoptosis, and a bystander effect. Emerging strategies include bispecific antibodies, additional ADCs, and HER2-directed cellular therapies. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026).

HER2 status is assessed primarily by immunohistochemistry (IHC), with in situ hybridization (ISH) used to confirm ERBB2 amplification in equivocal cases. Interpretation in GC and GEJ cancer differs from that used in breast cancer because HER2 expression is often heterogeneous and may show incomplete basolateral or lateral membranous staining. These features increase the risk of sampling error and misclassification, which may lead to either unnecessary treatment or the exclusion of patients who could benefit from HER2-directed therapy [73,74,75,76,77].

Trastuzumab remains the established HER2-directed mAb in HER2-positive GC and GEJ cancer. It inhibits HER2-dependent signaling, promotes receptor internalization, and contributes to ADCC. The development of ADCs has extended this therapeutic concept by combining target recognition with intracellular delivery of a cytotoxic payload. Trastuzumab deruxtecan consists of an anti-HER2 antibody linked to a topoisomerase I inhibitor. Following HER2 binding and internalization, the payload is released within the tumor cell, inducing DNA damage and apoptosis. Its membrane-permeable payload may also produce a bystander effect, which is particularly relevant in tumors with heterogeneous HER2 expression [78,79,80,81].

The clinical role of HER2-directed therapy differs across GI malignancies. In GC and GEJ cancer, HER2 testing is routinely incorporated into treatment selection, and trastuzumab-based therapy remains a central component of treatment in HER2-positive disease. Trastuzumab deruxtecan has further expanded treatment options in previously treated advanced HER2-positive GC and GEJ cancer [82,83,84]. In CRC and BTC, HER2-directed treatment is generally limited to selected molecularly defined subgroups and depends on the level of amplification or overexpression, previous therapy, and the specific agent used.

Emerging strategies include zanidatamab, a bispecific antibody that binds two distinct HER2 epitopes, and additional ADCs such as disitamab vedotin. These approaches are particularly relevant in HER2-positive BTC, GC/GEJ cancer, and selected CRC populations [7,85,86,87]. Pertuzumab-based combinations, margetuximab, HER2-directed cellular therapies, and novel bispecific or multispecific constructs remain investigational or have limited indication-specific roles.

3.2.3. Antiangiogenic Therapies Targeting VEGF and VEGFR

Angiogenesis is essential for tumor growth, invasion, and metastatic dissemination by providing oxygen and nutrients and supporting the formation of an abnormal vascular network. The VEGF/VEGFR axis is a major regulator of this process, particularly through VEGF-A-mediated activation of VEGFR-2 on endothelial cells (Figure 3) [88,89,90].

Figure 3.

Figure 3

Mechanisms of antiangiogenic therapies targeting VEGF and VEGFR in GI cancers [87,88,89,90]. Tumor hypoxia induces VEGF secretion, leading to VEGFR-2 activation on endothelial cells and stimulation of the PI3K/AKT and MAPK/ERK pathways. This promotes endothelial-cell proliferation, migration, survival, vascular permeability, and abnormal neovascularization. Bevacizumab neutralizes VEGF-A, aflibercept acts as a soluble VEGF-trap, and ramucirumab blocks VEGFR-2 activation. These mechanisms reduce angiogenesis and tumor vascular support and may contribute to vascular normalization. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026).

Unlike many biomarker-directed therapies, antiangiogenic treatment is not routinely guided by a single validated predictive biomarker. Treatment selection depends primarily on tumor type, disease setting, line of therapy, prior treatment, patient condition, toxicity profile, and the feasibility of combining antiangiogenic agents with chemotherapy or immunotherapy [91,92]. The principal antiangiogenic agents used in GI oncology include bevacizumab, ramucirumab, and aflibercept. Bevacizumab is a mAb that neutralizes VEGF-A and is widely used in metastatic CRC, as well as in combination with atezolizumab in advanced HCC. Ramucirumab blocks VEGFR-2 and has an established role in selected GC/GEJ cancer settings, as well as in specific CRC and HCC indications. Aflibercept is a soluble decoy receptor that binds VEGF-A, VEGF-B, and PlGF and is used primarily in metastatic CRC [93,94,95,96,97].

These agents illustrate that targeted therapy may act not only against a tumor-specific molecular alteration, but also against a biological process shared by multiple solid tumors. Their efficacy may result from inhibition of neovascularization, reduced vascular permeability, and partial normalization of the tumor vasculature, which may improve the delivery and activity of other systemic treatments. However, the absence of a routinely validated predictive biomarker remains an important limitation. Antiangiogenic therapy also has relevant perioperative implications because VEGF inhibition may impair wound healing and increase the risk of bleeding or thromboembolic complications. These issues are discussed in greater detail in the section on integration with surgery [93,94,95,96,97].

3.2.4. EGFR-, BRAF-, and KRAS-Directed Strategies in CRC

EGFR regulates epithelial-cell proliferation, survival, migration, and differentiation through downstream pathways including RAS/RAF/MEK/ERK and PI3K/AKT. In GI oncology, anti-EGFR mAbs have their greatest established clinical relevance in metastatic CRC. Cetuximab and panitumumab bind the extracellular domain of EGFR, inhibit ligand-dependent receptor activation, and suppress downstream proliferative signaling. Cetuximab may additionally induce ADCC (Figure 4) [98,99,100,101,102].

Figure 4.

Figure 4

EGFR-, BRAF-, and KRAS-directed therapeutic strategies in CRC [98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113]. The schematic summarizes EGFR signaling, the mechanisms of anti-EGFR mAbs, biomarker-guided patient selection, and major mechanisms of primary and acquired resistance. Ligand-dependent EGFR activation stimulates the RAS–RAF–MEK–ERK, PI3K–AKT–mTOR, and JAK–STAT pathways, promoting tumor-cell proliferation, survival, migration, invasion, and metastatic progression. Cetuximab and panitumumab block ligand binding and receptor activation, thereby reducing downstream oncogenic signaling; cetuximab may additionally induce ADCC. Clinical benefit is greatest in RAS WT metastatic CRC, particularly in left-sided primary tumors, whereas EGFR expression alone is insufficient for treatment selection. Resistance may arise through alterations in KRAS, NRAS, BRAF, PIK3CA, the EGFR extracellular domain, or activation of alternative receptor pathways. In BRAF V600E- and KRAS G12C-mutated CRC, monotherapy is limited by feedback or adaptive EGFR signaling, supporting combined pathway inhibition with anti-EGFR therapy. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026).

The effectiveness of anti-EGFR therapy depends primarily on the absence of activating KRAS and NRAS mutations. These alterations maintain constitutive downstream signaling despite receptor blockade and therefore function as negative predictive biomarkers. Treatment selection also depends on BRAF status, primary tumor sidedness, disease setting, and previous therapy. The greatest benefit is generally observed in patients with left-sided, RAS WT metastatic CRC, whereas activity in right-sided tumors is lower and more context-dependent [102,103,104,105,106,107,108,109].

Resistance to EGFR blockade may be primary or acquired. Primary resistance is commonly associated with activating alterations in KRAS, NRAS, BRAF, or other downstream signaling components. Acquired resistance may develop through the emergence of resistant RAS clones, alterations in the EGFR extracellular domain, activation of alternative receptor pathways, or additional changes affecting the MAPK and PI3K signaling networks. CRC therefore represents a key model in which treatment eligibility is determined not only by the presence of the therapeutic target, but also by the absence of molecular alterations that bypass receptor inhibition [110,111,112,113].

In BRAF V600E-mutated metastatic CRC, isolated BRAF inhibition is generally insufficient because feedback reactivation of EGFR restores MAPK signaling. Consequently, treatment strategies combine BRAF inhibition with EGFR blockade, with or without additional pathway inhibition. This approach illustrates the need to target both the oncogenic driver and compensatory signaling mechanisms [114,115,116,117].

Direct inhibition of KRAS G12C has also expanded treatment options for a small, molecularly defined subgroup of CRC. However, responses to KRAS G12C inhibitor monotherapy are limited by adaptive EGFR-mediated signaling. Combination approaches incorporating KRAS G12C and EGFR inhibition are therefore more biologically rational and have greater clinical relevance than single-agent treatment [118,119,120].

3.2.5. CLDN18.2- and FGFR2-Directed Therapies

CLDN18.2 and distinct FGFR2-related alterations represent separate biomarker-defined therapeutic targets in GI cancers. CLDN18.2 and the FGFR2b isoform are primarily relevant in GC and GEJ cancer, whereas FGFR2 fusions occur mainly in selected BTCs, particularly intrahepatic cholangiocarcinoma (Figure 5). These alterations require different diagnostic approaches and are targeted by different therapeutic classes. CLDN18.2 is a tight-junction protein isoform physiologically expressed mainly in differentiated gastric mucosal cells. During malignant transformation, disruption of epithelial polarity exposes CLDN18.2 on the tumor-cell surface, making it accessible to antibody-based therapy [121,122,123,124,125]. Zolbetuximab is a CLDN18.2-directed mAb that mediates antitumor activity primarily through ADCC and CDC. Its clinical role is established in selected patients with CLDN18.2-positive, HER2-negative GC or GEJ adenocarcinoma, further refining biomarker-based stratification alongside HER2, PD-L1, and MSI/dMMR [121,126,127,128,129].

Figure 5.

Figure 5

CLDN18.2- and FGFR2-directed therapeutic strategies in gastrointestinal cancers [38,39,40,41,42,43,121,126,127,128,129]. (A) Zolbetuximab targets CLDN18.2 and induces antibody-dependent cellular cytotoxicity (ADCC) and complement-dependent cytotoxicity (CDC) in gastric and gastroesophageal junction cancers. (B) Investigational bemarituzumab blocks FGFR2b signaling and may additionally promote ADCC, reducing tumor-cell proliferation, survival, and growth. (C) Pemigatinib and futibatinib inhibit the intracellular kinase domain of FGFR2 fusion or rearrangement proteins in intrahepatic cholangiocarcinoma, suppressing oncogenic signaling. Potential resistance mechanisms include bypass signaling, molecular heterogeneity, secondary FGFR2 mutations, and clonal evolution. Abbreviations: CLDN18.2, claudin 18.2; FGFR2b, fibroblast growth factor receptor 2b; GC, gastric cancer; GEJ, gastroesophageal junction; iCCA, intrahepatic cholangiocarcinoma; ADCC, antibody-dependent cellular cytotoxicity; CDC, complement-dependent cytotoxicity. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026).

FGFR2b is an epithelial isoform of FGFR2 that may be overexpressed or amplified in a subgroup of GC and GEJ cancers. Aberrant FGFR2b signaling promotes tumor-cell proliferation and survival through downstream pathways, including RAS/RAF/MEK/ERK and PI3K/AKT. Bemarituzumab is an anti-FGFR2b mAb that blocks ligand binding and receptor activation and is being evaluated in patients with FGFR2b-positive tumors. Although clinically promising, it should currently be regarded as an emerging rather than routinely established treatment option [45,130,131,132,133,134,135].

This antibody-based strategy should be distinguished from the treatment of FGFR2 fusion-positive BTCs. Such fusions occur predominantly in intrahepatic cholangiocarcinoma and generate constitutively active fusion proteins that drive oncogenic signaling. In this setting, small-molecule FGFR tyrosine kinase inhibitors, including pemigatinib and futibatinib, are used in selected patients with previously treated, unresectable or advanced FGFR2 fusion- or rearrangement-positive disease [38,39,40,41,42,43,45,130,131,132,133,134,135]. The efficacy of FGFR inhibitors may be limited by primary or acquired resistance, including secondary mutations within the FGFR2 kinase domain, activation of alternative signaling pathways, and molecular heterogeneity. These limitations support the use of validated molecular testing and, where feasible, repeat molecular profiling at disease progression [136,137,138].

3.2.6. IDH1-, PARP-, and Other Biomarker-Defined Therapies

Beyond the major therapeutic pathways described above, molecular profiling has identified additional actionable alterations in selected BTC and PDAC subgroups. The most clinically relevant examples include IDH1 mutations in intrahepatic cholangiocarcinoma and defects in homologous recombination repair in PDAC. Other rare alterations, including HER2 amplification and RET fusions, further support the use of broad molecular profiling in advanced GI cancers (Figure 6) [139,140,141]. Mutant IDH1 acquires neomorphic enzymatic activity and converts α-ketoglutarate into the oncometabolite D-2-hydroxyglutarate. Its accumulation contributes to epigenetic dysregulation, impaired cellular differentiation, and tumor development. IDH1 mutations occur predominantly in intrahepatic cholangiocarcinoma and provide a rationale for mutation-specific inhibition. Ivosidenib is an oral inhibitor of mutant IDH1 that reduces D-2-hydroxyglutarate production. In the phase III ClarIDHy trial, ivosidenib significantly improved progression-free survival compared with placebo in previously treated patients with advanced IDH1-mutated cholangiocarcinoma, establishing IDH1 testing as an important component of molecular profiling in BTCs [141,142].

Figure 6.

Figure 6

IDH1-, PARP-, HER2-, and RET-directed biomarker-defined therapies in gastrointestinal cancers. (A) Ivosidenib inhibits mutant IDH1, reduces D-2-hydroxyglutarate production, partially reverses epigenetic dysregulation, and limits tumor growth in previously treated, advanced IDH1-mutated cholangiocarcinoma. (B) Maintenance olaparib inhibits PARP-mediated DNA repair and promotes PARP trapping, leading to replication-fork collapse, double-strand DNA breaks, and synthetic lethality in metastatic PDAC with a pathogenic germline BRCA1 or BRCA2 mutation whose disease has not progressed after at least 16 weeks of first-line platinum-based chemotherapy. (C) Zanidatamab binds two extracellular HER2 epitopes, promotes receptor clustering and internalization, suppresses HER2 signaling, and induces immune-mediated tumor-cell elimination in previously treated, unresectable or metastatic HER2 IHC 3+ BTC. (D) Selpercatinib inhibits the RET kinase domain of constitutively active RET fusion proteins, suppressing RAS–RAF–MEK–ERK and PI3K–AKT signaling in locally advanced or metastatic RET fusion-positive solid tumors. Abbreviations: ADCC, antibody-dependent cellular cytotoxicity; ADCP, antibody-dependent cellular phagocytosis; BTC, biliary tract cancer; CDC, complement-dependent cytotoxicity; D-2-HG, D-2-hydroxyglutarate; HER2, human epidermal growth factor receptor 2; IDH1, isocitrate dehydrogenase 1; PARP, poly(ADP-ribose) polymerase; PDAC, pancreatic ductal adenocarcinoma; RET, rearranged during transfection [140,141,142,143,144,145,146,147,148,149]. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026).

A second clinically relevant strategy involves targeting homologous recombination repair deficiency in PDAC. Pathogenic alterations in BRCA1, BRCA2, or PALB2 impair the repair of DNA double-strand breaks and may increase sensitivity to platinum-based chemotherapy and PARP inhibition. PARP inhibitors block the repair of single-strand DNA damage and trap PARP proteins on DNA, promoting replication-associated damage and synthetic lethality in homologous recombination-deficient tumor cells [143,144,145]. The strongest evidence concerns maintenance olaparib in patients with metastatic PDAC carrying germline BRCA1 or BRCA2 mutations whose disease has not progressed during first-line platinum-based chemotherapy. In the phase III POLO trial, olaparib significantly prolonged progression-free survival compared with placebo, although no overall-survival advantage was demonstrated in the primary analysis [140].

The role of PARP inhibition in patients with somatic BRCA1/2 alterations, PALB2 mutations, or other homologous recombination repair defects is less firmly established. A phase II study of maintenance rucaparib demonstrated activity in platinum-sensitive pancreatic cancer with pathogenic germline or somatic alterations in BRCA1, BRCA2, or PALB2, supporting further investigation of PARP inhibitors beyond the germline BRCA1/2 population [146]. However, these broader molecular contexts should not be considered equivalent to the established olaparib maintenance indication, and treatment decisions require careful interpretation of the specific alteration and clinical setting.

HER2 amplification or overexpression represents another actionable alteration in selected BTCs, particularly gallbladder cancer and extrahepatic cholangiocarcinoma. Zanidatamab, a bispecific antibody targeting two HER2 epitopes, has demonstrated clinically meaningful activity in previously treated, HER2-amplified, unresectable or metastatic BTC in the phase IIb HERIZON-BTC-01 study [147].

Rare RET fusions may also provide opportunities for tumor-agnostic treatment with selective RET inhibitors. Selpercatinib demonstrated activity across several non-lung and non-thyroid RET fusion-positive solid tumors in the LIBRETTO-001 basket trial, although GI-specific evidence remains limited by the rarity of these alterations and small disease-specific cohorts [148].

3.2.7. Tumor-Agnostic Therapies and TRK Inhibitors

Tumor-agnostic therapy represents a shift from treatment based primarily on anatomical origin and histology toward patient selection according to a specific molecular or immunological alteration. This approach is particularly relevant in GI oncology because some actionable biomarkers occur only in small patient subgroups but may substantially expand therapeutic options when identified [9,150,151].

The best-established tumor-agnostic biomarkers in GI cancers are MSI-H/dMMR and NTRK gene fusions. MSI-H/dMMR tumors accumulate somatic mutations and neoantigens as a consequence of impaired DNA mismatch repair, resulting in increased immunogenicity and sensitivity to immune checkpoint blockade. Although the frequency and clinical setting of MSI-H/dMMR vary across GI malignancies, this phenotype provides a well-established basis for tumor-agnostic treatment [152,153,154].

NTRK1, NTRK2, and NTRK3 encode the TRKA, TRKB, and TRKC proteins, respectively. Oncogenic NTRK fusions join the kinase domain of a TRK receptor to a partner gene, leading to ligand-independent receptor activation and persistent downstream signaling. This promotes tumor-cell proliferation, survival, migration, and oncogenic transformation. NTRK fusions are rare in common GI malignancies, but their detection is clinically important because they identify patients who may benefit from selective TRK inhibition [152,155,156,157,158].

Larotrectinib and entrectinib are the principal tumor-agnostic therapies used in NTRK fusion-positive solid tumors. Larotrectinib is a selective TRK inhibitor, whereas entrectinib also inhibits ROS1 and ALK. Both agents suppress constitutive TRK kinase activity and downstream oncogenic signaling. Their activity across multiple histological types demonstrates that, in selected molecular contexts, the oncogenic driver may be more therapeutically relevant than the anatomical site of tumor origin [155,156,157,158].

Because NTRK fusions and other tumor-agnostic alterations are uncommon, broad molecular profiling may be more efficient than sequential single-gene testing, particularly in advanced or refractory disease, rare histological subtypes, tumors lacking more common actionable alterations, and patients with limited standard treatment options. NGS, particularly RNA-based approaches, may facilitate fusion detection. IHC may serve as a screening method, but positive results should be confirmed using a validated molecular assay before treatment selection. The tumor-agnostic model also has important limitations. Evidence is frequently derived from basket trials that include multiple tumor types and relatively small numbers of patients with individual GI malignancies. Consequently, response estimates may not fully reflect disease-specific biology, coexisting molecular alterations, or mechanisms of resistance. Clinical implementation also depends on tissue quality, access to comprehensive molecular testing, interpretation of rare variants, and the availability of matched treatment [9,150,151,152,153,154,155,156,157,158,159,160].

3.3. Predictive Biomarkers and Patient Selection

Predictive biomarkers are central to treatment selection in GI oncology, but their clinical value varies according to tumor type, histological subtype, disease stage, treatment regimen, and diagnostic method. Some biomarkers directly identify an actionable molecular alteration, whereas others provide only a context-dependent estimate of treatment sensitivity. Biomarker results should therefore be interpreted within the relevant clinical indication rather than as isolated predictors of benefit [10,161,162,163,164].

MSI-H/dMMR remains the most consistently validated predictive biomarker for immune checkpoint blockade in GI cancers. Its role is particularly well established in CRC, including advanced disease, while emerging evidence supports its relevance in selected neoadjuvant settings. However, the prevalence and clinical implications of MSI-H/dMMR differ among GI malignancies, and evidence from CRC should not be transferred directly to other tumor types [55,56,57,152,153,154].

The predictive value of PD-L1 is less uniform. Its clinical relevance depends on tumor location, histology, assay, scoring system, cut-off value, treatment regimen, and line of therapy. CPS includes PD-L1 expression in tumor and selected immune cells, whereas TPS reflects the proportion of PD-L1-positive tumor cells. In GC, GEJ cancer, and ESCC, CPS is commonly used, but clinically relevant thresholds differ across indications. PD-L1 should therefore be regarded as an indication-specific biomarker rather than a universal predictor of response across GI cancers [59,60,61,62].

Other biomarkers provide a more direct link between a molecular alteration and a matched therapy. These include HER2 expression or ERBB2 amplification, RAS WT status, BRAF V600E and KRAS G12C mutations, CLDN18.2 and FGFR2b expression, FGFR2 fusions, IDH1 mutations, HRR defects, and NTRK fusions. Their principal clinical applications, assessment methods, and limitations are summarized in Table 2.

Table 2.

Principal predictive biomarkers used for patient selection in GI cancers.

Biomarker Principal Cancer Context Preferred Assessment Matched Therapeutic Strategy Clinical Interpretation Main Limitations References
MSI-H/dMMR CRC; selected GC/GEJ, BTC, PDAC, and other GI cancers IHC for MMR proteins and/or validated PCR- or NGS-based MSI testing ICIs Strongest validated biomarker for checkpoint blockade; established in advanced CRC and increasingly relevant in selected neoadjuvant settings Low prevalence in several GI cancers; possible discordance between testing methods; evidence differs by tumor type and disease setting [55,56,57,152,153,154]
PD-L1 GC/GEJ cancer, ESCC, and selected upper-GI cancers Validated IHC assay; most commonly CPS, with TPS used in selected settings PD-1/PD-L1 blockade within indication-specific regimens Context-dependent biomarker whose relevance varies by cancer type, assay, cut-off, regimen, and treatment line Spatial and temporal heterogeneity; assay variability; different CPS or TPS thresholds; limited value as a universal biomarker [59,60,61,62]
HER2/ERBB2 GC/GEJ cancer; selected BTC and CRC IHC followed by ISH in equivocal cases; NGS in selected settings Trastuzumab, trastuzumab deruxtecan, zanidatamab, and other HER2-directed agents Established in selected GC/GEJ settings and increasingly relevant in molecularly defined BTC and CRC subgroups Intratumoral heterogeneity; differences in scoring criteria; temporal changes in expression; discordance between primary and metastatic sites [69,73,74,75,76,77,78,79,80,81,82,83,84,85,86]
RAS WT Metastatic CRC Validated testing of KRAS and NRAS using PCR or NGS Cetuximab or panitumumab Absence of activating RAS mutations is required for anti-EGFR treatment; benefit is greatest in selected left-sided tumors Primary and acquired resistance; tumor sidedness; emergence of resistant subclones [99,100,101,102,103,104,105,106,107,108,109]
BRAF V600E Metastatic CRC; selected BTC PCR or NGS BRAF inhibition combined with EGFR blockade in CRC; indication-specific strategies in other cancers Identifies an aggressive molecular subgroup and guides pathway-combination therapy Limited efficacy of BRAF inhibitor monotherapy in CRC because of feedback EGFR activation [35,36,103,106]
KRAS G12C Selected metastatic CRC PCR or NGS KRAS G12C inhibitor combined with EGFR blockade Defines a small subgroup eligible for mutation-specific treatment Adaptive EGFR signaling; acquired resistance; low prevalence [103]
CLDN18.2 HER2-negative GC/GEJ adenocarcinoma Validated IHC assay Zolbetuximab with chemotherapy Established expression-based biomarker in selected advanced GC/GEJ cancer Intratumoral heterogeneity; assay- and threshold-dependent classification; sampling limitations [121,122,123,124,125,126,127,128,129]
FGFR2b Selected GC/GEJ cancer IHC-based assessment of FGFR2b expression Bemarituzumab and other emerging FGFR2b-directed approaches Promising expression-based biomarker under clinical development Lack of universal scoring criteria; heterogeneous expression; not yet a routine standard [45,130,131,132,133,134,135,162]
FGFR2 fusion or rearrangement Predominantly intrahepatic cholangiocarcinoma DNA- or preferably RNA-based NGS; validated fusion assay Pemigatinib or futibatinib Established molecular target in selected previously treated advanced disease Rare alteration; secondary kinase-domain mutations; molecular heterogeneity and acquired resistance [40,41,42,43]
IDH1 mutation Intrahepatic cholangiocarcinoma Validated PCR or NGS Ivosidenib Established target in selected previously treated advanced disease Restricted mainly to a molecular subgroup of iCCA; co-alterations and acquired resistance may affect response [141,142]
Germline BRCA1/2 mutation Platinum-sensitive metastatic PDAC Germline testing, with tumor profiling where appropriate Maintenance olaparib Established biomarker for maintenance PARP inhibition after disease control with platinum-based chemotherapy Limited to a defined clinical setting; benefit should not be generalized to all HRR alterations [139]
Somatic BRCA1/2, PALB2, and other HRR alterations Selected PDAC Tumor NGS with germline confirmation when indicated PARP inhibition or platinum-based strategies in selected or investigational settings Potentially actionable, but less firmly established than germline BRCA1/2 Heterogeneous biological relevance; variable treatment sensitivity; insufficient evidence for several individual genes [146]
NTRK fusion Rare molecular subgroups across GI cancers RNA-based NGS preferred; IHC may be used for screening Larotrectinib or entrectinib Tumor-agnostic biomarker with high therapeutic relevance when present Very low prevalence; false-positive screening results; evidence derived mainly from basket trials [150,151,152,153,154,155,156,157,158]

Abbreviations: CPS, combined positive score; HRR, homologous recombination repair; ICI, immune checkpoint inhibitor; MMR, mismatch repair; NGS, next-generation sequencing; PCR, polymerase chain reaction; TPS, tumor proportion score; WT, wild-type.

Despite the growing number of actionable biomarkers, their assessment at a single time point may not fully capture the biological complexity of GI cancers. Spatial heterogeneity can result in substantial differences in biomarker expression within the same lesion and between primary and metastatic sites, while temporal heterogeneity may emerge through clonal evolution, treatment pressure, and disease progression. These challenges are particularly relevant for HER2, PD-L1, CLDN18.2, and FGFR2b, whose expression may vary across tumor regions and over time. As a result, treatment decisions based on a limited biopsy specimen may lead to false-negative or otherwise unrepresentative classification [74,75,76,122,123,124,125,126,127,128,129,130,131,132,133,134,135]. Previous therapy may further modify the biomarker profile by suppressing sensitive clones and promoting the expansion of resistant populations. Primary or acquired resistance may arise through secondary target alterations, activation of downstream or bypass signaling pathways, loss of target expression, or selection of pre-existing resistant subclones. Accordingly, the presence of an actionable biomarker at diagnosis does not necessarily ensure sustained treatment sensitivity throughout the disease course [163].

When clinically feasible, reassessment at progression—through repeat tissue biopsy or updated molecular profiling—may help identify biomarker discordance, acquired resistance, or newly actionable alterations. However, repeated sampling is not always possible because of limited tumor accessibility, insufficient tissue quality, procedure-related risk, or restricted access to validated diagnostic assays. These limitations highlight the need to interpret biomarker results as dynamic and context-dependent rather than as fixed characteristics of the tumor [164,165].

3.4. Integration of Biological and Targeted Therapies with Surgery

The integration of biological and targeted therapies with surgery has become an increasingly important component of multimodal treatment in GI oncology. These therapies may support surgical management in three principal ways: as perioperative treatment in resectable disease, as conversion therapy in initially unresectable tumors, or as downstaging and bridging treatment before resection or transplantation. These three models are summarized in Figure 7. In each setting, the aim of systemic treatment extends beyond tumor shrinkage and includes eradication of micrometastatic disease, assessment of tumor biology, improvement of the probability of complete resection, and selection of patients most likely to benefit from an invasive procedure.

Figure 7.

Figure 7

Three main models of integration of systemic therapy with surgery in GI cancers [60,166,167,168,169,170]. Biological and targeted therapies may be used as perioperative treatment in resectable disease, as conversion therapy in initially unresectable tumors, or as downstaging and bridging treatment before resection or transplantation. Surgical decisions require repeated assessment of treatment response, anatomical resectability, biomarker context, organ function, treatment-related toxicity, and overall clinical status by a multidisciplinary team. Created in BioRender. Mertowski, S. (2026) https://BioRender.com/wgsbmpm (accessed on 12 August 2026). In resectable esophageal, GC, and GEJ cancers, systemic therapy is increasingly integrated before and after surgery to reduce tumor burden, address micrometastatic disease, and decrease recurrence risk. Adjuvant nivolumab is established for selected patients with residual pathological disease after neoadjuvant chemoradiotherapy and R0 resection of esophageal or GEJ cancer. In GC and GEJ adenocarcinoma, perioperative chemotherapy remains central, while immunotherapy-containing regimens are entering selected perioperative settings. However, treatment response should not routinely justify reducing the oncological extent of surgery or omitting resection outside validated protocols [19,20,27,28,171,172,173]. CheckMate 577 demonstrated longer disease-free survival with adjuvant nivolumab in patients with residual disease after neoadjuvant chemoradiotherapy and complete resection [171,172].

Surgery after preoperative immunotherapy is generally feasible, but inflammation, edema, fibrosis, adhesions, and altered tissue planes may increase operative complexity in individual patients. Preoperative assessment should therefore consider unresolved irAEs, corticosteroid exposure, cardiopulmonary and endocrine function, liver function, and the timing of the last treatment dose [173,174].

Neoadjuvant checkpoint blockade has produced particularly strong responses in localized dMMR/MSI-H CRC. In dMMR rectal cancer, clinical complete responses after PD-1 blockade have created the possibility of organ-preserving management under intensive clinical, endoscopic, and radiological surveillance. Nevertheless, the evidence is derived from selected cohorts, and longer follow-up is required before surgery can be routinely omitted [175].

In dMMR colon cancer, short-course neoadjuvant nivolumab plus ipilimumab has produced high major and complete pathological response rates without generally preventing timely surgery. However, colectomy remains the standard definitive treatment, and pathological sensitivity should not yet be interpreted as justification for routine nonoperative management [176].

In metastatic CRC, conversion therapy may enable secondary resection of initially unresectable liver- or lung-limited metastases. Treatment selection should consider RAS and BRAF status, primary tumor sidedness, metastatic distribution, and the need for rapid and deep tumor shrinkage. Anti-EGFR-based combinations may be particularly useful in selected RAS WT, left-sided tumors, whereas chemotherapy combined with anti-VEGF therapy remains an important alternative across broader molecular subgroups [25,34,36,177,178,179].

Radiological response alone should not determine surgical eligibility. Disappearing lesions may still contain viable tumors, whereas complete radiological resolution is not required for technically successful resection. Early and repeated multidisciplinary reassessment is therefore essential, and surgery should be considered once complete resection becomes feasible while preserving adequate organ function, rather than after prolonged treatment until maximal response [180,181].

Anti-VEGF treatment requires specific perioperative planning because VEGF inhibition may impair wound healing and increase the risk of bleeding, dehiscence, thrombosis, and anastomotic complications. The interval between treatment and surgery should be individualized according to the agent, extent of surgery, comorbidities, and wound-healing risk, and treatment should be resumed only after adequate postoperative recovery [182,183]. Increased wound-healing complications have been reported when major surgery was performed during bevacizumab treatment.

In HCC, downstaging and bridging strategies may enable resection or liver transplantation or maintain disease control while a patient awaits definitive treatment. Locoregional therapies remain the most established approaches, whereas immunotherapy and antiangiogenic combinations are emerging options in selected patients. Surgical or transplant eligibility should be based not only on radiological response but also on liver function, portal hypertension, AFP dynamics, extrahepatic spread, and the stability of tumor biology. ICI exposure before transplantation requires particular caution because persistent immune activation may increase graft-rejection risk [37,38,184,185].

In BTCs and PDAC, secondary resection after systemic or biomarker-directed therapy remains uncommon. Induction therapy may occasionally permit resection in locally advanced PDAC, while responses to FGFR-, IDH1-, HER2-, or immunotherapy-based treatment may prompt reassessment in selected BTCs. However, evidence is derived mainly from retrospective studies, small cohorts, and case reports. Secondary resection should therefore not be considered routine and requires sustained disease control, technical feasibility, acceptable operative risk, and absence of uncontrolled metastatic progression [31,32,33,182,183,186,187]. The principal clinical scenarios in which biological and targeted therapies may be integrated with surgery are summarized in Table 3.

Table 3.

Main clinical models of integrating biological and targeted therapies with surgery in GI cancers.

Clinical Context Main Strategy Surgical Objective Key Selection Factors Evidence Status References
Resectable esophageal and GC/GEJ cancers Perioperative or adjuvant systemic therapy, including immunotherapy in selected settings Improve pathological response and reduce recurrence risk Stage, histology, treatment response, residual pathological disease, fitness for surgery Established in selected esophageal/GEJ settings; perioperative immunotherapy in GC/GEJ is rapidly evolving [173,174,188]
Localized dMMR/MSI-H CRC Neoadjuvant checkpoint blockade Facilitate surgery or support organ preservation in selected rectal cancer Confirmed dMMR/MSI-H, reliable response assessment, capacity for intensive surveillance Highly promising; organ preservation remains an evolving strategy [175,176]
Initially unresectable metastatic CRC Chemotherapy combined with anti-EGFR or anti-VEGF therapy Convert liver- or lung-limited disease to resectability RAS/BRAF status, primary tumor sidedness, metastatic distribution, depth of response, organ reserve Established in carefully selected patients [178,189]
HCC Locoregional and selected systemic therapies Downstage or bridge patients to resection or liver transplantation Tumor burden, radiological response, AFP dynamics, liver function, transplant eligibility Locoregional strategies established; systemic and ICI-based approaches emerging [190]
BTC and PDAC Induction or biomarker-directed treatment Enable secondary resection in exceptional responders Durable disease control, anatomical feasibility, absence of progression, operative risk Investigational and not routine [186,187,191]
Surgery after anti-VEGF therapy Planned interruption of treatment Reduce wound-healing, bleeding, and anastomotic complications Agent half-life, procedure extent, comorbidities, postoperative recovery Requires individualized perioperative scheduling [192,193]
Surgery after immunotherapy Resection after neoadjuvant, perioperative, or conversion treatment Allow safe surgery after systemic response Active irAEs, organ function, corticosteroid exposure, timing of treatment, operative complexity Generally feasible but context-dependent [173]

3.5. General Regulatory Status and Presence on Polish Reimbursement Lists

To assess treatment availability, three related but not identical aspects were distinguished: the presence of a biological therapeutic target, registration of the therapy for a specific indication, and reimbursement of a given indication or treatment regimen in the Polish public health system. The identification of a predictive biomarker, such as MSI-H/dMMR, PD-L1, HER2, alterations in the RAS, BRAF, KRAS G12C, NTRK, FGFR2, IDH1, BRCA1/2 genes, or CLDN18.2 expression, may indicate potential biological eligibility for molecularly matched therapy. However, the presence of a biomarker alone does not confirm registration or reimbursement of treatment for a specific cancer type, disease stage, line of therapy, or regimen [194,195,196,197,198,199,200,201,202,203,204,205,206,207,208]. Therefore, the registration and reimbursement status was assessed at the level of individual indications and treatment regimens, not solely the medicinal product. Table 4 presents the indication, required biomarker or diagnostic criterion, disease stage, clinical context, relevant prior therapy, FDA and EMA regulatory indications, and reimbursement status in Poland as of 1 January 2026 [209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274]. The FDA and EMA regulatory status is presented separately due to potential differences in indications, including biomarker thresholds, histological subtype, disease stage, line of treatment, requirements for prior therapy, and permissible combination regimens. This was particularly true for immunotherapy in upper gastrointestinal cancers, for which the required PD-L1 expression thresholds may differ between the United States and the European Union.

Table 4.

Indication-level FDA and EMA authorization status and Polish reimbursement-list status of selected biological and molecularly targeted therapies in gastrointestinal cancers as of 1 January 2026.

GI Cancer Indication Drug/Regimen Biomarker/Diagnostic Requirement Disease Stage; Treatment Setting/Prior Therapy FDA Status and Indication EMA Status and Indication Polish Reimbursement-List Status References
Esophageal carcinoma/GEJ carcinoma Pembrolizumab + platinum/fluoropyrimidine FDA: no mandatory PD-L1 threshold in cited approval; EMA: PD-L1 CPS ≥ 10 Locally advanced unresectable or metastatic; First-line; not candidate for surgery or definitive chemoradiation Authorized. Combination with platinum- and fluoropyrimidine-based chemotherapy Authorized. First-line locally advanced unresectable/metastatic esophageal carcinoma; PD-L1 CPS ≥ 10 Listed for specific upper-GI indications. Programme/catalogue: B.58. Sheet B row 526 lists pembrolizumab under B.58 (also other programmes). Exact B.58 eligibility remains programme-specific [209,210,211]
HER2-negative gastric/GEJ adenocarcinoma Pembrolizumab + fluoropyrimidine/platinum HER2-negative; EMA additionally PD-L1 CPS ≥ 1 Locally advanced unresectable or metastatic; First-line Authorized. First-line HER2-negative gastric/GEJ adenocarcinoma; cited FDA approval did not impose a PD-L1 cutoff Authorized. First-line; HER2-negative and PD-L1 CPS ≥ 1 Listed for specific upper-GI indications. Programme/catalogue: B.58. Sheet B row 526: B.58. Exact programme eligibility must be read from B.58 [112,210,211]
HER2-positive gastric/GEJ adenocarcinoma Pembrolizumab + trastuzumab + fluoropyrimidine/platinum HER2-positive; PD-L1 CPS ≥ 1 Locally advanced unresectable or metastatic; First-line Authorized. Adults with HER2-positive disease and PD-L1 CPS ≥ 1 Authorized. HER2-positive and PD-L1 CPS ≥ 1 Listed for specific upper-GI indications. Programme/catalogue: B.58. Sheet B row 526: pembrolizumab B.58; trastuzumab is separately listed in chemotherapy catalogue C.86.a-c [210,211,213]
Biliary tract cancer Pembrolizumab + gemcitabine/cisplatin No mandatory predictive biomarker Locally advanced unresectable or metastatic; First-line/no prior systemic therapy for advanced disease Authorized. Pembrolizumab + gemcitabine/cisplatin Authorized. Pembrolizumab + gemcitabine/cisplatin, First-line Not identified for BTC at cutoff. Sheet B row 526 does not list B.5. AOTMiT recommendation dated 16 December 2025 did not itself establish list inclusion effective 1 January 2026 [210,211,214]
Colorectal cancer Pembrolizumab monotherapy MSI-H or dMMR Unresectable or metastatic; First-line Authorized. First-line unresectable/metastatic MSI-H/dMMR CRC Authorized. First-line metastatic MSI-H/dMMR CRC Listed for CRC. Programme/catalogue: B.4. Sheet B row 526 lists B.4. Exact diagnostic and clinical criteria are programme-specific [210,211,215]
MSI-H/dMMR gastric, small-intestine or biliary cancer/tumour-agnostic solid tumours Pembrolizumab monotherapy MSI-H or dMMR Unresectable or metastatic/recurrent or advanced; After prior therapy; FDA requires progression and no satisfactory alternatives for tumour-agnostic indication Authorized. Tumour-agnostic MSI-H/dMMR indication after progression and no satisfactory alternatives Authorized. Gastric, small-intestine or biliary cancer after ≥1 prior therapy Product listed, but indication-specific funding not established by product presence alone. Programme/catalogue: B.159 and other programmes. Sheet B row 526 lists multiple programmes, including B.159; programme wording must be checked before claiming reimbursement for a particular rare GI tumour [210,211,216]
Gastric/GEJ cancer and esophageal adenocarcinoma Nivolumab + fluoropyrimidine/platinum FDA: no label biomarker threshold in cited approval record; EMA: PD-L1 CPS ≥ 5 Advanced or metastatic; First-line Authorized. Advanced/metastatic gastric, GEJ and esophageal adenocarcinoma Authorized. HER2-negative advanced/metastatic disease; PD-L1 CPS ≥ 5 Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B rows 437–438 list B.58 [211,217,218]
Esophageal squamous cell carcinoma Nivolumab + ipilimumab FDA: no mandatory PD-L1 threshold in cited record; EMA: tumour-cell PD-L1 ≥ 1% Unresectable advanced, recurrent or metastatic; First-line Authorized. First-line unresectable advanced/metastatic ESCC Authorized. First-line ESCC with tumour-cell PD-L1 ≥ 1% Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B rows 349–350 and 437–438 list both ipilimumab and nivolumab under B.58 [211,218,219]
Esophageal squamous cell carcinoma Nivolumab + fluoropyrimidine/platinum FDA: no mandatory PD-L1 threshold in cited record; EMA: tumour-cell PD-L1 ≥ 1% Unresectable advanced, recurrent or metastatic; First-line Authorized. First-line unresectable advanced/metastatic ESCC Authorized. First-line ESCC with tumour-cell PD-L1 ≥ 1% Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B rows 437–438: B.58 [211,218,219]
Esophageal squamous cell carcinoma Nivolumab monotherapy No mandatory predictive biomarker Unresectable advanced, recurrent or metastatic; After prior fluoropyrimidine- and platinum-based chemotherapy Authorized. After prior fluoropyrimidine/platinum Authorized. After prior fluoropyrimidine/platinum Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B rows 437–438: B.58 [211,218,220]
Esophageal or GEJ cancer Nivolumab monotherapy No mandatory predictive biomarker Completely resected with residual pathologic disease; Adjuvant after neoadjuvant chemoradiotherapy and complete resection Authorized. Adjuvant residual pathologic disease after neoadjuvant CRT Authorized. Adjuvant residual pathologic disease after neoadjuvant CRT Listed under B.58; exact adjuvant criteria require programme verification. Programme/catalogue: B.58. Sheet B rows 437–438: B.58 [211,217,218]
Colorectal cancer Nivolumab + ipilimumab MSI-H or dMMR Unresectable or metastatic; All lines; FDA efficacy analysis included first-line; EMA includes first-line and after prior fluoropyrimidine combination Authorized. Adults and patients ≥12 years with unresectable/metastatic MSI-H/dMMR CRC Authorized. First-line and after prior fluoropyrimidine-based combination therapy Listed for CRC. Programme/catalogue: B.4. Sheet B rows 349–350 and 437–438 list B.4 [211,218,221]
Hepatocellular carcinoma Nivolumab + ipilimumab No mandatory predictive biomarker Unresectable or metastatic/advanced unresectable; First-line Authorized. First-line unresectable/metastatic HCC Authorized. First-line advanced/unresectable HCC Not identified under B.5 at cutoff. Nivolumab and ipilimumab are listed in other programmes, but neither is assigned to B.5 in Sheet B rows 349–350 and 437–438 [211,218,222]
Hepatocellular carcinoma Atezolizumab + bevacizumab No mandatory predictive biomarker Unresectable or metastatic/advanced unresectable; First-line/no prior systemic therapy Authorized. Unresectable/metastatic HCC without prior systemic therapy Authorized. Advanced/unresectable HCC without prior systemic therapy Listed for HCC. Programme/catalogue: B.5; bevacizumab also C.82.a-d. Sheet B row 57 lists atezolizumab under B.5; Sheet C rows 52–59 list bevacizumab in C.82.a-d [211,223,224]
Biliary tract cancer Durvalumab + gemcitabine/cisplatin No mandatory predictive biomarker Unresectable or metastatic/locally advanced or metastatic; First-line Authorized. Locally advanced/metastatic BTC Authorized. First-line unresectable/metastatic BTC Listed for BTC. Programme/catalogue: B.5. Sheet B row 171 lists durvalumab under B.5 [211,225,226]
Hepatocellular carcinoma Durvalumab + tremelimumab No mandatory predictive biomarker Advanced or unresectable/unresectable; First-line Authorized. Unresectable HCC (STRIDE regimen) Authorized. First-line advanced/unresectable HCC Combination not identified under B.5 at cutoff. Durvalumab is assigned to B.5 (Sheet B row 171), but tremelimumab is only B.6 (Sheet B row 707) [211,226,227]
Gastric/GEJ adenocarcinoma Durvalumab + FLOT, then durvalumab No mandatory predictive biomarker Resectable; FDA trial population Stage II-IVA; Neoadjuvant and adjuvant, followed by adjuvant durvalumab Authorized. Approved 25 November 2025 for resectable gastric/GEJ adenocarcinoma Not authorized in EU at cutoff. The relevant CHMP positive opinion was published 30 January 2026, after the 1 January 2026 cutoff; the current EPAR contains the later indication Not identified for gastric/GEJ at cutoff. Durvalumab Sheet B row 171 is assigned to B.5/B.6/B.148, not B.58 [211,226,228]
HER2-negative gastric/GEJ adenocarcinoma Tislelizumab + platinum/fluoropyrimidine HER2-negative; FDA: PD-L1 ≥ 1; EMA: PD-L1 TAP ≥ 5% Locally advanced unresectable or metastatic; First-line Authorized. First-line unresectable/metastatic HER2-negative gastric/GEJ adenocarcinoma with PD-L1 ≥ 1 Authorized. HER2-negative; PD-L1 TAP ≥ 5% Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B row 672 lists B.58 [211,229,230]
Esophageal squamous cell carcinoma Tislelizumab + platinum chemotherapy FDA: PD-L1 ≥ 1; EMA: PD-L1 TAP ≥ 5% Unresectable locally advanced or metastatic; First-line Authorized. First-line unresectable/metastatic ESCC with PD-L1 ≥ 1, in combination with platinum-containing chemotherapy Authorized. PD-L1 TAP ≥ 5% Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B row 672 lists B.58 [211,230,231]
Esophageal squamous cell carcinoma Tislelizumab monotherapy No mandatory predictive biomarker in EMA indication Unresectable locally advanced or metastatic; After prior platinum-based chemotherapy Authorized. Monotherapy after prior systemic chemotherapy that did not include a PD-(L)1 inhibitor Authorized. After prior platinum-based chemotherapy Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B row 672 lists B.58 [211,230,231]
Gastric/GEJ adenocarcinoma Trastuzumab + capecitabine or 5-FU/cisplatin HER2 positive: IHC3+ or IHC2+ with confirmatory ISH in EMA label Metastatic; No prior anticancer treatment for metastatic disease Authorized. HER2-overexpressing metastatic gastric/GEJ adenocarcinoma; no prior treatment for metastatic disease Authorized. HER2-positive metastatic gastric/GEJ; no prior metastatic anticancer treatment Listed in chemotherapy catalogue. Programme/catalogue: C.86.a-c. Sheet C rows 466–475 list IV trastuzumab products under C.86.a-c [211,232,233]
Gastric/GEJ adenocarcinoma Trastuzumab deruxtecan HER2 positive Locally advanced or metastatic/advanced; After prior trastuzumab-based regimen Authorized. Locally advanced/metastatic HER2-positive gastric/GEJ after prior trastuzumab Authorized. Advanced HER2-positive gastric/GEJ after prior trastuzumab Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B row 701 lists Enhertu under B.58 [211,234,235]
Solid tumours, including selected GI cancers Trastuzumab deruxtecan HER2 IHC3+ Unresectable or metastatic; After prior systemic treatment; no satisfactory alternatives Authorized (accelerated). Tumour-agnostic HER2-positive IHC3+ solid tumours Authorized. Unresectable/metastatic HER2-positive IHC3+ solid tumours after prior treatment/no satisfactory options Product listed, but tumour-agnostic reimbursement not established by B.58 presence. Programme/catalogue: B.58 for selected upper-GI indication. Sheet B row 701 lists B.58 only; this does not prove funding for every tumour-agnostic GI use [211,235,236]
Biliary tract cancer Zanidatamab HER2 positive, IHC3+ Unresectable locally advanced or metastatic; After ≥1 prior systemic line; FDA study required prior gemcitabine-containing regimen Authorized (accelerated). Previously treated unresectable/metastatic HER2-positive IHC3+ BTC Authorized (conditional). Previously treated unresectable locally advanced/metastatic HER2-positive IHC3+ BTC Not identified on Polish list at cutoff. No zanidatamab/Ziihera entry identified in Sheets B or C of 81W [211,237,238]
Gastric/GEJ adenocarcinoma Zolbetuximab + fluoropyrimidine/platinum CLDN18.2 positive by validated/approved assay; HER2 negative Locally advanced unresectable or metastatic; First-line Authorized. First-line CLDN18.2-positive, HER2-negative gastric/GEJ Authorized. First-line CLDN18.2-positive, HER2-negative gastric/GEJ Not identified on Polish list at cutoff. No zolbetuximab/Vyloy entry identified in Sheets B or C of 81W [211,239,240]
Colorectal cancer Bevacizumab + fluoropyrimidine-based chemotherapy No validated predictive biomarker Metastatic; Indication/regimen-specific systemic treatment Authorized. Metastatic colorectal cancer in indication-specific fluoropyrimidine-based chemotherapy combinations; see current FDA labeling Authorized. Metastatic colon/rectal cancer with fluoropyrimidine-based chemotherapy Listed in chemotherapy catalogue. Programme/catalogue: C.82.a-d. Sheet C rows 52–59 list bevacizumab products under C.82.a-d [211,241,242]
Gastric/GEJ adenocarcinoma Ramucirumab + paclitaxel/monotherapy No universal predictive biomarker Advanced; After prior platinum- and fluoropyrimidine-containing chemotherapy; monotherapy if combination unsuitable Authorized. Advanced/metastatic gastric or GEJ adenocarcinoma after prior fluoropyrimidine- or platinum-containing chemotherapy; monotherapy or with paclitaxel Authorized. Combination with paclitaxel after prior platinum/fluoropyrimidine; monotherapy in specified patients Listed for upper-GI indications. Programme/catalogue: B.58. Sheet B row 555 lists B.58 [211,243,244]
Colorectal cancer Ramucirumab + FOLFIRI No validated predictive biomarker Metastatic; After prior bevacizumab-, oxaliplatin- and fluoropyrimidine-containing therapy Authorized. Metastatic CRC with FOLFIRI after prior bevacizumab-, oxaliplatin- and fluoropyrimidine-containing therapy; see current FDA labeling Authorized. mCRC after bevacizumab, oxaliplatin and fluoropyrimidine Listed in chemotherapy catalogue. Programme/catalogue: C.106. Sheet C row 401 lists ramucirumab under C.106 [211,244,245]
Hepatocellular carcinoma Ramucirumab monotherapy AFP ≥400 ng/mL Advanced or unresectable; After sorafenib Authorized. HCC with AFP ≥ 400 ng/mL after sorafenib Authorized. Advanced/unresectable HCC with AFP ≥ 400 ng/mL after sorafenib Not identified under B.5 at cutoff. Ramucirumab is B.58 and C.106, not B.5, in the 81W list [211,244,246]
=Colorectal cancer Aflibercept + FOLFIRI No validated predictive biomarker Metastatic; After resistance/progression to oxaliplatin-containing regimen Authorized. Ziv-aflibercept with FOLFIRI for mCRC resistant to or progressed after an oxaliplatin-containing regimen; see current FDA labeling Authorized. mCRC resistant to or progressed after oxaliplatin-containing regimen, with FOLFIRI Listed in chemotherapy catalogue. Programme/catalogue: C.110. Sheet C rows 20–21 list Zaltrap under C.110 [211,247,248]
Colorectal cancer Cetuximab + chemotherapy/monotherapy RAS wild type; EMA also describes EGFR expression in indication wording Metastatic; First-line FOLFOX or irinotecan-based combinations; monotherapy after specified failures/intolerance Authorized. KRAS wild-type, EGFR-expressing mCRC in indication-specific combinations or monotherapy; see current FDA labeling Authorized. RAS-wild-type mCRC in indication-specific combinations or monotherapy Listed in chemotherapy catalogue. Programme/catalogue: C.95.a-c. Sheet C rows 108–109 list Erbitux under C.95.a-c [211,249,250]
Colorectal cancer Panitumumab + chemotherapy/monotherapy RAS wild type Metastatic; First-line FOLFOX/FOLFIRI; second-line FOLFIRI in specified setting; monotherapy after failures Authorized. RAS wild-type mCRC in indication-specific combinations or monotherapy; see current FDA labeling Authorized. RAS-wild-type mCRC in specified treatment lines/regimens Listed in chemotherapy catalogue. Programme/catalogue: C.94. Sheet C rows 338–339 list Vectibix under C.94 [211,251,252]
Colorectal cancer Encorafenib + cetuximab BRAF V600E Metastatic; After prior systemic therapy Authorized. Previously treated BRAF V600E mCRC Authorized. BRAF V600E mCRC after prior systemic therapy Not identified for CRC at cutoff. Sheet B rows 217–218 list Braftovi only under B.59, not B.4 [211,253,254]
Colorectal cancer Encorafenib + cetuximab + mFOLFOX6 BRAF V600E detected by FDA-approved test Metastatic; First-line/treatment-naive population Authorized (accelerated). FDA accelerated approval dated 20 December 2024 Not authorized in EU by cutoff; current EPAR includes a later first-line expansion. The first-line extension received a CHMP positive recommendation in May 2026, after the cutoff; it was not EU-authorized on 1 January 2026 Not identified for CRC at cutoff. Braftovi only B.59 in Sheet B rows 217–218 [211,255,256]
Colorectal cancer Adagrasib + cetuximab KRAS G12C by FDA-approved test Locally advanced or metastatic; After fluoropyrimidine-, oxaliplatin- and irinotecan-based chemotherapy Authorized (accelerated). FDA accelerated approval 21 June 2024 Not authorized for CRC at cutoff. Krazati EU authorization concerned NSCLC Not identified on Polish list for CRC. No adagrasib/Krazati entry identified in Sheets B or C of 81W [211,257,258]
Colorectal cancer Sotorasib + panitumumab KRAS G12C by FDA-approved test Metastatic; After fluoropyrimidine-, oxaliplatin- and irinotecan-based chemotherapy Authorized. FDA approval 16 January 2025 Not authorized for CRC at cutoff. Lumykras EU authorization concerned NSCLC Not identified for CRC; product listed only in lung programme. Programme/catalogue: B.6 only. Sheet B rows 639–640 list Lumykras under B.6, not B.4 [211,259,260]
Cholangiocarcinoma Pemigatinib monotherapy FGFR2 fusion or rearrangement Locally advanced or metastatic; Progression after ≥1 prior systemic line Authorized (accelerated). Previously treated unresectable locally advanced/metastatic disease; FDA-approved test Authorized (conditional). Progression after ≥1 prior systemic line Not identified at cutoff. No pemigatinib/Pemazyre entry identified in Sheets B or C of 81W [211,261,262]
Cholangiocarcinoma (FDA: intrahepatic) Futibatinib monotherapy FGFR2 fusion or rearrangement Locally advanced or metastatic; After ≥1 prior systemic line/previously treated Authorized (accelerated). Previously treated unresectable locally advanced/metastatic intrahepatic cholangiocarcinoma Authorized (conditional). Locally advanced/metastatic cholangiocarcinoma after ≥1 prior systemic line Not identified at cutoff. No futibatinib/Lytgobi entry identified in Sheets B or C of 81W [211,263,264]
Cholangiocarcinoma Ivosidenib monotherapy FDA: susceptible IDH1 mutation by approved test; EMA: IDH1 R132 mutation Locally advanced or metastatic; After ≥1 prior systemic line/previously treated Authorized. Previously treated IDH1-mutated locally advanced/metastatic cholangiocarcinoma Authorized. IDH1 R132; after ≥1 prior systemic line Not identified for BTC; listed only in AML programme. Programme/catalogue: B.114 only. Sheet B row 368 lists Tibsovo under B.114, not B.5 [211,265,266]
Pancreatic adenocarcinoma Olaparib monotherapy Germline BRCA1/2 mutation Metastatic; Maintenance; no progression after minimum 16 weeks of first-line platinum-based chemotherapy Authorized. Maintenance gBRCAm metastatic pancreatic adenocarcinoma; FDA-approved companion diagnostic Authorized. Maintenance germline BRCA1/2-mutated metastatic pancreatic adenocarcinoma after ≥16 weeks of first-line platinum Listed for pancreatic cancer. Programme/catalogue: B.85. Sheet B rows 459–460 list Lynparza under B.85 [211,267,268]
NTRK fusion-positive solid tumours, including rare GI cancers Larotrectinib monotherapy Oncogenic NTRK gene fusion; FDA label excludes known acquired resistance mutation Locally advanced, metastatic, or surgery likely to cause severe morbidity; No satisfactory alternatives/progressed after treatment (FDA wording) Authorized. Tumour-agnostic NTRK fusion indication Authorized (conditional). NTRK fusion; locally advanced/metastatic/severe-morbidity surgery; no satisfactory options Listed for NTRK fusion solid tumours. Programme/catalogue: B.144. Sheet B rows 379–381 list Vitrakvi under B.144 [211,269,270]
NTRK fusion-positive solid tumours, including rare GI cancers Entrectinib monotherapy NTRK gene fusion; EMA requires no prior NTRK inhibitor Locally advanced, metastatic, or surgery likely to cause severe morbidity; Progressed after treatment or no satisfactory alternatives Authorized (accelerated). Tumour-agnostic NTRK fusion indication Authorized (conditional). NTRK fusion; no prior NTRK inhibitor; no satisfactory options Listed for NTRK fusion solid tumours. Programme/catalogue: B.144. Sheet B rows 229–230 list Rozlytrek under B.144 (also B.6 for ROS1 NSCLC) [211,271,272]
dMMR recurrent or advanced solid tumours (FDA tumour-agnostic; potential GI context) Dostarlimab monotherapy dMMR by FDA-approved test Recurrent or advanced; Progressed on/following prior treatment; no satisfactory alternatives Authorized (accelerated). Tumour-agnostic dMMR solid tumour indication No routine localized rectal organ-preservation indication. EMA product authorization must not be presented as routine approval for localized rectal cancer organ preservation Not identified for GI indication; listed in endometrial programme. Programme/catalogue: B.148 only. Sheet B row 166 lists Jemperli under B.148 [211,273,274]

References correspond to official FDA, EMA, or Polish Ministry of Health records. FDA and EMA indication wording is intentionally kept separate. Polish list presence refers to the official notice effective 1 January 2026 and does not by itself reproduce all eligibility criteria contained in the full text of each drug program or chemotherapy catalogue. Abbreviations: BTC, biliary tract cancer; CPS, combined positive score; CRC, colorectal cancer; dMMR, mismatch-repair deficient; ESCC, esophageal squamous-cell carcinoma; FDA, US Food and Drug Administration; GEJ, gastroesophageal junction; HCC, hepatocellular carcinoma; HER2, human epidermal growth factor receptor 2; IHC, immunohistochemistry; ISH, in situ hybridization; mCRC, metastatic colorectal cancer; MSI-H, microsatellite instability-high; NTRK, neurotrophic tyrosine receptor kinase; PD-L1, programmed death-ligand 1; RAS WT, RAS wild type.

In the case of the assessed Polish reimbursement status, the official announcement effective January 1, 2026, as well as the relevant drug programs and chemotherapy catalog entries [211], programs B.58, B.4, B.5, B.85, and B.144, were considered. As mentioned above, the presence of a product in reimbursement documents was not automatically considered reimbursement for all of its registered indications. If a specific cancer or treatment regimen was not listed, it was classified as “unidentified as of the cutoff date,” even if the product was reimbursed for another indication. For example, as of the cutoff date, no reimbursement was identified for pembrolizumab in combination with gemcitabine and cisplatin in biliary tract cancer, the combination of nivolumab with ipilimumab, or durvalumab with tremelimumab in hepatocellular carcinoma. Sotorasib, ivosidenib, and dostarlimab were included in reimbursement documents for other cancers, but not for the analyzed gastrointestinal indications. This confirms the need to interpret reimbursement based on the specific cancer type, biomarker, regimen, and clinical context. At the same time, reimbursed, indication-related regimens were identified, including pembrolizumab, nivolumab, tislelizumab, trastuzumab, trastuzumab deruxtecan, and ramucirumab for upper gastrointestinal cancers; pembrolizumab and nivolumab with ipilimumab for MSI-H/dMMR colorectal cancer; atezolizumab with bevacizumab for hepatocellular carcinoma; durvalumab with gemcitabine and cisplatin for biliary tract cancer; olaparib for pancreatic cancer with a germline BRCA1/2 mutation; and larotrectinib and entrectinib for solid tumors with an NTRK fusion.

The cutoff date was strictly applied. Regulatory opinions, indication extensions, and reimbursement decisions issued after 1 January 2026 were not included in the classification. The analysis did not include comprehensive criteria for drug programs, local availability of services, hospital contracting, waiting times, or individual patient eligibility. Table 4 should therefore be interpreted as an indication- and time-dependent summary of formal FDA and EMA registration status and reimbursement status in Poland, rather than a comprehensive assessment of the actual clinical availability of the treatment.

3.6. Emerging Directions in Precision Oncology

Precision oncology in GI cancers is progressing from single-biomarker testing toward multidimensional and longitudinal characterization of tumor biology. Genomic profiling remains fundamental for detecting mutations, amplifications, copy-number alterations, and gene fusions, but genomic information alone does not fully reflect pathway activity, cellular phenotype, immune interactions, or treatment-induced adaptation. Integration of genomic data with transcriptomics, proteomics, metabolomics, epigenomics, digital pathology, imaging, and clinical variables may therefore improve molecular classification, biomarker discovery, and prediction of treatment response [275,276,277].

Transcriptomic analysis provides information on gene-expression programs and pathway activation, whereas proteomic and phosphoproteomic approaches assess functional protein abundance and signaling activity. Metabolomic profiling may identify metabolic dependencies associated with tumor progression, immune suppression, and therapeutic resistance. When these data are analyzed jointly, they can distinguish biologically distinct tumors that share the same genomic alteration but differ in downstream signaling or treatment sensitivity. However, multiomic integration remains limited by differences in analytical platforms, sample processing, computational pipelines, data completeness, and the difficulty of validating complex molecular signatures in independent cohorts [275,276].

Single-cell sequencing provides an additional level of resolution by separating malignant, immune, stromal, endothelial, and other cellular populations that are averaged together in bulk-tissue analyses. Single-cell studies in GC and CRC have revealed extensive diversity of malignant-cell states, cancer-associated fibroblasts, myeloid populations, and lymphocyte subsets, illustrating how cellular composition and functional state may influence progression and response to treatment [278,279]. Nevertheless, dissociation-based single-cell methods partially remove cells from their original anatomical context and may underrepresent fragile or poorly recovered cell populations.

Spatial transcriptomic and proteomic approaches address this limitation by preserving the localization of molecular signals within intact tissue. These methods can identify immune-excluded regions, stromal barriers, invasive fronts, tertiary lymphoid structures, resistant cellular niches, and spatially restricted communication between tumor and immune cells. Their application may improve understanding of why tumors with apparently similar genomic profiles show different responses to ICIs or targeted therapies. At present, however, spatial profiling remains primarily a translational research tool because of its cost, tissue requirements, platform variability, computational complexity, and lack of clinically validated decision thresholds [277,279]. Spatial profiling technologies increasingly enable characterization of tumor-cell architecture and interactions that are not detectable using bulk analyses alone.

Liquid biopsy offers a complementary approach by enabling minimally invasive and repeated molecular assessment. ctDNA can be used to identify tumor-derived alterations when tissue is unavailable or insufficient, monitor molecular response during treatment, detect emerging resistant clones, and assess molecular residual disease after curative-intent surgery. Because ctDNA may originate from several tumor sites simultaneously, it may also provide a broader representation of systemic disease than a single tissue biopsy. However, its sensitivity depends on tumor burden, anatomical location, vascularity, assay design, timing of blood collection, and the biological rate of DNA shedding [280,281,282].

The strongest evidence for postoperative ctDNA assessment in GI oncology currently concerns CRC. In the DYNAMIC trial, ctDNA-guided management of stage II colon cancer reduced the use of adjuvant chemotherapy without compromising recurrence-free survival [283]. In the CIRCULATE-Japan GALAXY study, postoperative ctDNA positivity was strongly associated with recurrence and inferior survival, while sustained ctDNA clearance during adjuvant treatment was associated with more favorable outcomes [218]. These findings support the prognostic and potential treatment-guiding value of molecular residual disease assessment, although the optimal assay, sampling schedule, and management of ctDNA-positive patients remain under investigation.

Emerging evidence also supports longitudinal ctDNA monitoring in other GI cancers. In resectable GC and GEJ cancer, ctDNA detected after preoperative therapy or surgery has been associated with pathological response, recurrence risk, and survival. Prospective observations suggest that persistent or re-emerging ctDNA may identify molecular non-response or residual disease before conventional clinical progression [284,285]. Nevertheless, evidence outside CRC remains less mature, and ctDNA-guided treatment changes have not yet been established as routine standards for most GC, PDAC, BTC, or HCC settings.

Serial molecular profiling may also support adaptive treatment strategies. Repeated tissue or liquid-biopsy analysis can reveal loss of the original therapeutic target, emergence of secondary kinase-domain mutations, activation of bypass pathways, expansion of resistant subclones, or acquisition of a new actionable alteration. In selected settings, these findings may support treatment escalation, de-escalation, switching to another targeted agent, or molecularly guided rechallenge. For example, serial ctDNA analysis may identify the emergence or disappearance of resistant RAS or EGFR-pathway clones during anti-EGFR treatment in CRC. However, detecting molecular evolution does not automatically establish that changing treatment on this basis improves survival.

The implementation of adaptive precision oncology is also limited by analytical and logistical challenges. These include incomplete assay standardization, variable sensitivity and specificity, clonal hematopoiesis, low ctDNA shedding, uncertain thresholds for intervention, insufficient evidence for many detected variants, high costs, restricted reimbursement, and unequal access to specialized laboratories and bioinformatic infrastructure. Prospective trials must therefore demonstrate not only analytical validity but also clinical utility—that is, whether a molecularly triggered treatment change produces better outcomes than standard radiological and clinical monitoring. The principal emerging technologies, their potential clinical applications, and current limitations are summarized in Table 5.

Table 5.

Emerging technologies and potential applications in precision oncology for GI cancers.

Approach Principal Information Generated Potential Clinical Application Main Advantages Current Limitations References
Genomic profiling Mutations, amplifications, deletions, copy-number changes, and gene fusions Identification of actionable alterations and eligibility for targeted or tumor-agnostic therapy Established analytical platforms; direct link to several approved therapies Does not fully reflect gene expression, pathway activity, or cellular context [275,276]
Transcriptomics, proteomics, and metabolomics Gene-expression programs, protein abundance, signaling activity, and metabolic states Molecular classification, biomarker discovery, and identification of resistance pathways Provides functional information beyond DNA alterations Platform variability, complex data integration, high tissue and computational requirements [275,276]
Single-cell sequencing Cell-specific transcriptional or epigenetic states Identification of malignant, immune, and stromal subpopulations associated with progression or treatment response Resolves intratumoral heterogeneity obscured by bulk analysis Loss of spatial context, cell-recovery bias, cost, and limited clinical standardization [278,279]
Spatial transcriptomics and proteomics Molecular profiles linked to anatomical tissue location Identification of immune-excluded niches, stromal barriers, invasive fronts, and spatial predictors of response Preserves tissue architecture and cellular interactions High cost, platform heterogeneity, complex analysis, lack of validated clinical thresholds [277,278]
Baseline ctDNA profiling Tumor-derived genomic alterations detected in plasma Molecular testing when tissue is insufficient and complementary assessment of metastatic heterogeneity Minimally invasive and potentially representative of several disease sites Low sensitivity in low-volume or low-shedding disease; clonal hematopoiesis [280,281,282]
Postoperative ctDNA assessment Molecular residual disease Recurrence-risk stratification and potential guidance of adjuvant therapy May detect residual disease before radiological recurrence Optimal assay and sampling window remain uncertain; strongest evidence currently in CRC [283,284,285]
Serial ctDNA monitoring Changes in tumor burden and clonal composition over time Monitoring response, detecting progression, and identifying acquired resistance Enables repeated, minimally invasive molecular reassessment A molecular change does not always indicate when or how treatment should be modified [280,281,284,286]
Adaptive molecular profiling Newly acquired or disappearing actionable alterations Treatment switching, escalation, de-escalation, or rechallenge Reflects dynamic tumor evolution rather than baseline status alone Limited prospective evidence, cost, access, and lack of standardized intervention thresholds [280,281,284]

Abbreviations: CRC, colorectal cancer; ctDNA, circulating tumor DNA; GC, gastric cancer; GI, gastrointestinal; MRD, molecular residual disease.

4. Discussion

The therapeutic landscape of GI cancers is shifting from a predominantly organ- and histology-based model toward an increasingly biomarker-informed and context-dependent approach. This transition does not replace the importance of anatomical site, histological subtype, disease stage, or resectability. Instead, molecular and immunological characteristics have become additional determinants of treatment selection. Consequently, tumors arising in the same organ may require different therapeutic strategies, whereas malignancies of different anatomical origin may become eligible for the same treatment when they share a clinically actionable alteration. MSI-H/dMMR tumors and cancers harboring oncogenic NTRK fusions provide the clearest examples of this tumor-agnostic principle [9,287,288,289,290].

The reviewed evidence identifies three broad models of precision treatment. The first includes therapies requiring direct demonstration of a molecular target or predictive alteration, such as HER2-, EGFR-, CLDN18.2-, FGFR2-, IDH1-, and HRR-directed strategies. The second includes agents targeting biological processes shared across multiple tumor types, exemplified by antiangiogenic treatment. The third is immunotherapy, whose efficacy depends on the interaction between tumor cells, genomic instability, and the immune microenvironment. Within this group, MSI-H/dMMR remains the most consistently validated predictive biomarker, whereas PD-L1 expression is more dependent on tumor type, scoring method, cut-off, treatment regimen, and line of therapy [11,165,291,292,293,294,295,296,297].

A central finding of this review is that biomarker relevance cannot be separated from disease-specific context. Molecular alterations such as RAS and BRAF mutations or FGFR2 and NTRK fusions are relatively well defined, whereas HER2, PD-L1, CLDN18.2, and FGFR2b depend more strongly on expression thresholds, assay methodology, tissue quality, and sampling location. Spatial and temporal heterogeneity may therefore produce discordance within the same tumor, between primary and metastatic lesions, or between samples obtained before and after treatment. Moreover, primary and acquired resistance may develop through secondary target alterations, downstream pathway reactivation, bypass signaling, loss of target expression, or expansion of resistant subclones. Thus, detection of an actionable biomarker at diagnosis does not guarantee durable treatment sensitivity.

The growing integration of biological and targeted therapies with surgery further illustrates the need for individualized decision-making. Surgery remains the principal curative modality for most localized GI cancers, but its timing and role are increasingly modified by perioperative, conversion, and downstaging strategies. In resectable disease, systemic therapy may increase pathological response and reduce recurrence risk. In initially unresectable metastatic CRC, treatment may enable secondary resection of liver- or lung-limited disease. In selected dMMR rectal cancers, complete clinical response may support organ-preserving management, whereas in HCC, downstaging and bridging may facilitate resection or liver transplantation. Nevertheless, radiological or clinical response should not automatically be equated with complete pathological eradication, technical resectability, or cure, and repeated multidisciplinary assessment remains essential [289,290,291,292].

The strength of evidence supporting these strategies varies considerably. Several indications are based on randomized trials and have become established components of care, whereas newer approaches may rely on single-arm studies, basket trials, retrospective cohorts, or individual reports. Basket trials are particularly important for rare molecular alterations, but the small number of patients with individual GI cancers may limit disease-specific interpretation. Regulatory authorization across multiple solid tumors should therefore not be considered equivalent evidence of benefit in every GI malignancy.

Another important issue is the distinction between biological actionability, regulatory authorization, and presence on reimbursement lists. Identification of a therapeutic target does not confirm that a corresponding drug has been authorized, while FDA or EMA authorization does not automatically imply public funding. Similarly, the presence of a product on a Polish reimbursement list does not establish reimbursement for every indication, treatment line, regimen, or biomarker-defined subgroup. The regulatory analysis presented in this review should therefore be interpreted as a time-specific overview of formal status rather than a measure of complete clinical access [15,16,17].

Access to molecular diagnostics is equally important. Modern GI oncology increasingly requires assessment of MSI/dMMR, PD-L1, HER2, RAS, BRAF, NTRK, CLDN18.2, FGFR2b, FGFR2, IDH1, and selected HRR alterations. Inadequate tissue, delayed testing, lack of validated assays, and limited access to NGS may prevent patients from being identified for matched therapy even when a drug is formally authorized. These challenges also affect assay sequencing, turnaround time, tissue preservation, and the cost-effectiveness of broad molecular profiling [292,293,294,295,296].

Emerging multiomic, single-cell, spatial, and liquid-biopsy approaches may improve characterization of tumor heterogeneity and molecular evolution. Multiomic integration can connect genomic alterations with transcriptional programs, protein activity, metabolism, and immune composition. Single-cell and spatial methods may identify resistant cellular niches, while serial ctDNA analysis may support molecular residual-disease assessment, earlier detection of recurrence, monitoring of response, and identification of emerging resistant clones. However, routine adaptive treatment based on these technologies remains limited by incomplete standardization, uncertain intervention thresholds, variable sensitivity, cost, and insufficient prospective evidence that molecularly triggered treatment changes improve patient outcomes.

Assessment of clinical value should also extend beyond regulatory approval and response rates. New therapies differ in their effects on progression-free survival, overall survival, toxicity, quality of life, and treatment burden. This is particularly relevant for costly agents directed at small molecular subgroups. Structured frameworks such as the ESMO Magnitude of Clinical Benefit Scale may support comparison and prioritization, but they do not replace individualized clinical judgment or national health-technology assessment [297,298,299,300,301].

This review has several limitations. It is narrative rather than systematic and does not include a formal meta-analysis, quantitative comparison of treatment effects, or standardized risk-of-bias assessment. The included evidence is heterogeneous with respect to study design, cancer type, disease stage, treatment line, sample size, and follow-up. Regulatory authorization and presence on Polish reimbursement lists were assessed at a predefined time point and were not analyzed at the level of detailed indication-specific reimbursement criteria or individual patient access. In addition, rapidly evolving areas, including perioperative immunotherapy, ctDNA-guided treatment, spatial profiling, bispecific antibodies, ADCs, and cellular therapies, may be affected by new evidence or regulatory changes emerging after completion of the literature assessment.

Despite these limitations, this review integrates biological mechanisms, predictive biomarkers, clinical treatment settings, surgical implications, regulatory status, and reimbursement-list presence within a single framework. This approach reflects the practical complexity of precision oncology, in which therapeutic decision-making requires simultaneous consideration of molecular eligibility, strength of evidence, disease stage, resectability, patient condition, toxicity, diagnostic feasibility, and formal treatment status within the healthcare system.

5. Conclusions

Biological and targeted therapies have substantially reshaped the therapeutic landscape of GI cancers, particularly in molecularly defined subgroups. ICIs, HER2-directed agents, antiangiogenic therapies, anti-EGFR antibodies, CLDN18.2- and FGFR-directed strategies, and tumor-agnostic treatments have shifted therapeutic selection from a purely anatomical and histological model toward an integrated biomarker-driven approach. This transition is particularly evident in MSI-H/dMMR tumors, HER2-positive GC/GEJ cancers, RAS WT metastatic CRC, CLDN18.2-positive GC, and molecularly selected BTCs.

Despite these advances, surgery remains the foundation of curative-intent treatment in localized GI cancers. Biological and targeted therapies increasingly complement surgical management by modifying its timing and clinical context through neoadjuvant, perioperative, adjuvant, conversion, and downstaging strategies. Optimal treatment planning therefore requires multidisciplinary integration of tumor site, stage, resectability, molecular profile, patient condition, expected benefit, toxicity, and treatment availability.

Future progress will depend on broader access to validated molecular diagnostics, repeated assessment of tumor evolution, and integration of tissue profiling with ctDNA, multiomic, single-cell, and spatial approaches. Equally important will be the reduction in discrepancies between regulatory authorization, reimbursement-list status, and practical clinical implementation. The further development of precision oncology in GI cancers should therefore combine therapeutic innovation with robust biomarker validation, prospective evidence of clinical benefit, cost-effectiveness, and equitable access to testing and treatment.

Acknowledgments

Figures were created with BioRender.com. BioRender’s integrated AI tool was used to refine and format graphic elements. The authors confirm they take full responsibility for the integrity and accuracy of all figure content.

Abbreviations

The following abbreviations are used in this manuscript:

Abbreviation Full term
ADC Antibody–drug conjugate
ADCC Antibody-dependent cellular cytotoxicity
ADCP Antibody-dependent cellular phagocytosis
AFP Alpha-fetoprotein
APC Antigen-presenting cell
BRAF B-Raf proto-oncogene
BRCA Breast cancer susceptibility gene
BTC Biliary tract cancer
CAR-T Chimeric antigen receptor T cell
CCA Cholangiocarcinoma
CDC Complement-dependent cytotoxicity
CD Cluster of differentiation
CLDN18.2 Claudin 18.2
CPS Combined positive score
CRC Colorectal cancer
CTLA-4 Cytotoxic T-lymphocyte-associated protein 4
dMMR Deficient mismatch repair
EGFR Epidermal growth factor receptor
EMA European Medicines Agency
ERBB2 Erb-b2 receptor tyrosine kinase 2
ESCC Esophageal squamous cell carcinoma
ESMO European Society for Medical Oncology
FDA United States Food and Drug Administration
FGF Fibroblast growth factor
FGFR2 Fibroblast growth factor receptor 2
FGFR2b Fibroblast growth factor receptor 2b
FISH Fluorescence in situ hybridization
GC Gastric cancer
GEJ Gastroesophageal junction
GI Gastrointestinal
GIST Gastrointestinal stromal tumor
GPC3 Glypican-3
HCC Hepatocellular carcinoma
HER2 Human epidermal growth factor receptor 2
HPV Human papillomavirus
IDH1 Isocitrate dehydrogenase 1
IDH2 Isocitrate dehydrogenase 2
IHC Immunohistochemistry
ISH In situ hybridization
KIT KIT proto-oncogene receptor tyrosine kinase
mAb Monoclonal antibody
MMR Mismatch repair
MSI Microsatellite instability
MSI-H Microsatellite instability-high
MSS Microsatellite stable
NGS Next-generation sequencing
NK Natural killer
NTRK Neurotrophic tyrosine receptor kinase
PALB2 Partner and localizer of BRCA2
PD-1 Programmed cell death protein 1
PD-L1 Programmed death-ligand 1
PDGFRA Platelet-derived growth factor receptor alpha
PlGF Placental growth factor
PRRT Peptide receptor radionuclide therapy
RAS Rat sarcoma viral oncogene homolog
SSTR Somatostatin receptor
T-DXd Trastuzumab deruxtecan
TKI Tyrosine kinase inhibitor
TLA Three-letter acronym
TRK Tropomyosin receptor kinase
VEGF Vascular endothelial growth factor
VEGFR Vascular endothelial growth factor receptor
WT Wild-type

Author Contributions

Conceptualization, M.K., K.B., P.M., E.G. and S.M.; methodology, M.K., K.B., P.M. and S.M.; validation, M.K., K.B., S.M., E.G. and P.M.; formal analysis, M.K., K.B., P.M., M.C. and S.M.; investigation, P.M., M.C., J.Ś., B.W., M.K. and K.B.; resources, M.K., K.B., E.G. and S.M.; data curation, M.K. and K.B.; writing—original draft preparation, M.K., K.B., M.C., J.Ś., B.W., P.M., E.G. and S.M.; writing—review and editing, M.K., K.B., M.C., J.Ś., B.W., P.M., E.G. and S.M.; visualization, P.M. and S.M.; supervision, M.K., K.B., E.G. and S.M.; project administration, M.K., K.B. and E.G.; funding acquisition, M.K. and K.B. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were generated or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Funding Statement

This research received no external funding.

Footnotes

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References

  • 1.Vishwanath A., Krishna S., Manudhane A.P., Hart P.A., Krishna S.G. Early-Onset Gastrointestinal Malignancies: An Investigation into a Rising Concern. Cancers. 2024;16:1553. doi: 10.3390/cancers16081553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Jiang J., Xie Z., Wang Q., Wang B., Huang R., Xu W., Shang C., Chen Y. Epidemiological Trends in Gastrointestinal Cancers and Risk Factors across U.S. States from 2000 to 2021: A Systematic Analysis for the Global Burden of Disease Study 2021. BMC Public Health. 2025;25:43. doi: 10.1186/s12889-024-21192-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Singh A. Global Burden of Five Major Types of Gastrointestinal Cancer. Prz. Gastroenterol. 2024;19:236–254. doi: 10.5114/pg.2024.141834. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Danpanichkul P., Pang Y., Tothanarungroj P., Dejvajara D., Kim D., Saokhieo P., Suparan K., Muthiah M.D., Duangsonk K., Bernal D.O., et al. Gastrointestinal Cancer Statistics in 2022 and Projection to 2050: GLOBOCAN Estimates across 185 Countries. Cancer. 2026;132:e70245. doi: 10.1002/cncr.70245. [DOI] [PubMed] [Google Scholar]
  • 5.Global Burden of Gastrointestinal Cancers. [(accessed on 16 June 2026)]. Available online: https://gco.iarc.fr/stories/gastro-intestinal/en.
  • 6.Chen N., A Ajani J., Wu A. Nonoperative Management of Gastrointestinal Malignancies in Era of Neoadjuvant Treatment. Chin. J. Cancer Res. 2023;35:44–57. doi: 10.21147/j.issn.1000-9604.2023.01.05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Zhan T., Betge J., Schulte N., Dreikhausen L., Hirth M., Li M., Weidner P., Leipertz A., Teufel A., Ebert M.P. Digestive Cancers: Mechanisms, Therapeutics and Management. Signal Transduct. Target. Ther. 2025;10:24. doi: 10.1038/s41392-024-02097-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mela E., Frountzas M. Gastrointestinal Cancer: Outcomes and Therapeutic Management. J. Clin. Med. 2025;14:7541. doi: 10.3390/jcm14217541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Brlek P., Škaro V., Hrvatin N., Bulić L., Petrović A., Projić P., Smolić M., Shah P., Primorac D. Advances in Precision Oncology: From Molecular Profiling to Regulatory-Approved Targeted Therapies. Cancers. 2025;17:3500. doi: 10.3390/cancers17213500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Passaro A., Al Bakir M., Hamilton E.G., Diehn M., André F., Roy-Chowdhuri S., Mountzios G., Witsuba I., Swanton C., Peters S. Cancer Biomarkers-Emerging Trends and Clinical Implications for Personalized Treatment. Cell. 2024;187:1617–1635. doi: 10.1016/j.cell.2024.02.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Jin Y., He X., Wu Y. Gastrointestinal Cancer: Molecular Pathogenesis and Targeted Therapy. Mol. Biomed. 2025;6:136. doi: 10.1186/s43556-025-00361-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Migliore C., Fenocchio E., Giordano S., Corso S. Precision Oncology in Gastric Cancer: Shaping the Future of Personalized Treatment. Cancer Treat. Rev. 2025;141:103038. doi: 10.1016/j.ctrv.2025.103038. [DOI] [PubMed] [Google Scholar]
  • 13.Wu S., Thawani R. Tumor-Agnostic Therapies in Practice: Challenges, Innovations, and Future Perspectives. Cancers. 2025;17:801. doi: 10.3390/cancers17050801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Baethge C., Goldbeck-Wood S., Mertens S. SANRA—A Scale for the Quality Assessment of Narrative Review Articles. Res. Integr. Peer Rev. 2019;4:5. doi: 10.1186/s41073-019-0064-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.U.S. Food and Drug Administration About FDA. [(accessed on 16 June 2026)]; Available online: https://www.fda.gov/about-fda.
  • 16.European Medicines Agency (EMA) [(accessed on 16 June 2026)]. Available online: https://www.ema.europa.eu/en/homepage.
  • 17.Refundacja-Ministerstwo Zdrowia-Portal Gov.pl. [(accessed on 16 June 2026)]; Available online: https://www.gov.pl/web/zdrowie/refundacja3.
  • 18.Rosa F., Schena C.A., Laterza V., Quero G., Fiorillo C., Strippoli A., Pozzo C., Papa V., Alfieri S. The Role of Surgery in the Management of Gastric Cancer: State of the Art. Cancers. 2022;14:5542. doi: 10.3390/cancers14225542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.ESMO Clinical Practice Guidelines: Gastrointestinal Cancers|ESMO. [(accessed on 16 June 2026)]. Available online: https://www.esmo.org/guidelines/esmo-clinical-practice-guidelines-gastrointestinal-cancers.
  • 20.Zhao X., Hao Q., Alsina M., Acosta D., Castet F., Terán E., Cano K.V., Saurí T., Macías I., Yoshikawa T., et al. Evolving Treatment Strategies for Resectable Gastric Cancer: Bridging Asia-West Disparities toward Personalized and Integrated Therapy. Cancer Treat. Rev. 2025;141:103041. doi: 10.1016/j.ctrv.2025.103041. [DOI] [PubMed] [Google Scholar]
  • 21.Richter P., Wallner G., Zegarski W., Sierżęga M., Kołodziejczyk P., Nasierowska-Guttmejer A., Kielan W., Murawa D., Wyrwicz L., Konopka K., et al. Polish Consensus on Gastric Cancer Diagnosis and Treatment-Update 2022. Pol. Przegl Chir. 2022;94:53–60. doi: 10.5604/01.3001.0015.8793. [DOI] [PubMed] [Google Scholar]
  • 22.Vyas S., Supe A. Review of Surgical Strategies in Gastric Cancer. Oncol. Transl. Med. 2023;9:199. doi: 10.1097/ot9.0000000000000009. [DOI] [Google Scholar]
  • 23.Jang T., Kim G.P., George T.J. Select Updates from ASCO and ESMO 2024 for Gastrointestinal Cancer Care. Oncologist. 2025;30:oyaf020. doi: 10.1093/oncolo/oyaf020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kim B.J., Newhook T.E., Tzeng C.-W.D., Ikoma N., Chiang Y.-J., Chun Y.S., Vauthey J.-N., Tran Cao H.S. Lymphadenectomy and Margin-Negative Resection for Biliary Tract Cancer Surgery in the United States-Differential Technical Performance by Approach. J. Surg. Oncol. 2022;126:658–666. doi: 10.1002/jso.26924. [DOI] [PubMed] [Google Scholar]
  • 25.Pérez-Santiago L., Huntley Pascual D., Sánchez Lara J.S., Huerta M., Dorcaratto D. How to Integrate Surgery into the Multidisciplinary Treatment of Liver-Only Metastatic Colorectal Cancer. Cancers. 2026;18:489. doi: 10.3390/cancers18030489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ueno H., Kim N.K., Kim J.C., Tsarkov P., Hohenberger W., Grützmann R., Samalavičius N.E., Dulskas A., Liang J.-T., Quirke P., et al. Lymph Node Mapping-Based Optimal Bowel-Resection Margin and Central Radicality in Colon Cancer Surgery: An International, Prospective, Observational Cohort Study. ESMO Gastrointest. Oncol. 2025;9:100231. doi: 10.1016/j.esmogo.2025.100231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Mönig S.P., Chevallay M. The Evolving Role of Esophageal Surgery–Advancements, Challenges, and the Path Forward. Innov. Surg. Sci. 2025;10:1–2. doi: 10.1515/iss-2025-0005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Geraedts T.C.M., Luyer M.D.P. Optimizing Perioperative Care in Esophagectomy: A Narrative Review. J. Thorac. Dis. 2026;18:251. doi: 10.21037/jtd-2025-aw-2175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Biondi A., Persiani R., Cananzi F., Zoccali M., Vigorita V., Tufo A., D’Ugo D. R0 Resection in the Treatment of Gastric Cancer: Room for Improvement. World J. Gastroenterol. 2010;16:3358–3370. doi: 10.3748/wjg.v16.i27.3358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.ESMO Living Guideline: Gastric Cancer|ESMO. [(accessed on 16 June 2026)]. Available online: https://www.esmo.org/guidelines/living-guidelines/esmo-living-guideline-gastric-cancer.
  • 31.ESMO Clinical Practice Guideline: Pancreatic Cancer|ESMO. [(accessed on 16 June 2026)]. Available online: https://www.esmo.org/guidelines/esmo-clinical-practice-guideline-pancreatic-cancer.
  • 32.Noel C., Azeez A., Du Preez A., Noel K. Arterial Resections in Pancreatic Cancer—An Updated Systematic Review and Meta-Analysis. Cancers. 2025;17:1540. doi: 10.3390/cancers17091540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Rebelo A., Ronellenfitsch U., Döbereiner J., Ukkat J., Kleeff J. Do Arterial Resections Improve Survival in Pancreatic Cancer?—A Narrative Review. Chin. Clin. Oncol. 2021;10:48. doi: 10.21037/cco-21-39. [DOI] [PubMed] [Google Scholar]
  • 34.Pelegrín-Mateo F.J., Gallego Plazas J. Integration of Radical Intent Treatment in Colorectal Liver Metastases. Onco. 2025;5:45. doi: 10.3390/onco5040045. [DOI] [Google Scholar]
  • 35.Rodríguez M.R., Biedma B.A., Rodríguez Pérez I., Romeo J.A. Elucidating the Role of KRAS, NRAS, and BRAF Mutations and Microsatellite Instability in Colorectal Cancer via Next-Generation Sequencing. Cancers. 2025;17:2071. doi: 10.3390/cancers17132071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Li Q., Geng S., Luo H., Wang W., Mo Y.-Q., Luo Q., Wang L., Song G.-B., Sheng J.-P., Xu B. Signaling Pathways Involved in Colorectal Cancer: Pathogenesis and Targeted Therapy. Signal Transduct. Target. Ther. 2024;9:266. doi: 10.1038/s41392-024-01953-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.ESMO Clinical Practice Guideline: Localised Rectal Cancer|ESMO. [(accessed on 16 June 2026)]. Available online: https://www.esmo.org/guidelines/esmo-clinical-practice-guideline-localised-rectal-cancer.
  • 38.ESMO Clinical Practice Guideline: Hepatocellular Carcinoma|ESMO. [(accessed on 16 June 2026)]. Available online: https://www.esmo.org/guidelines/esmo-clinical-practice-guideline-hepatocellular-carcinoma.
  • 39.Morishita A., Oura K., Tai H., Yano R., Nakahara M., Tadokoro T., Fujita K., Mimura S., Tani J., Tatsuta M., et al. Advances in the Therapeutic Landscape of Hepatocellular Carcinoma: Current Strategies and Future Perspectives. Cancers. 2026;18:609. doi: 10.3390/cancers18040609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.ESMO Clinical Practice Guideline: Biliary Tract Cancer|ESMO. [(accessed on 16 June 2026)]. Available online: https://www.esmo.org/guidelines/esmo-clinical-practice-guideline-biliary-tract-cancer.
  • 41.Gujarathi R., Peshin S., Zhang X., Bachini M., Meeks M.N., Shroff R.T., Pillai A. Intrahepatic Cholangiocarcinoma: Insights on Molecular Testing, Targeted Therapies, and Future Directions from a Multidisciplinary Panel. Hepatol. Commun. 2025;9:e0743. doi: 10.1097/HC9.0000000000000743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Cillis J., Chen C., Deshpande S., Fong Y., Chaurasiya S. Current Status of Drug Treatment of Cholangiocarcinoma—Updated Progress and Critical Limitations. Pharmaceuticals. 2026;19:554. doi: 10.3390/ph19040554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Banales J.M., Rodrigues P.M., Affò S., Andersen J.B., Aspichueta P., Boulter L., Bridgewater J., Calvisi D.F., Cardenas A., Cardinale V., et al. Cholangiocarcinoma 2026: Status Quo, Unmet Needs and Priorities. Nat. Rev. Gastroenterol. Hepatol. 2026;23:65–96. doi: 10.1038/s41575-025-01153-w. [DOI] [PubMed] [Google Scholar]
  • 44.Giercuszkiewicz-Haśnik K., Morak-Młodawska B., Jeleń M. Molecularly Targeted Therapies in Oncology: Mechanisms, Resistance, and Combination Strategies. Molecules. 2026;31:1195. doi: 10.3390/molecules31071195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Satala C.-B., Gurău G., Patrichi G., Gurau A.-M., Mehedinti R.-C., Leibovici A.R., Mihalache D. FGFR2b in Gastric Cancer: Translating a Therapeutic Target into a Reliable Biomarker. Cancers. 2026;18:1863. doi: 10.3390/cancers18121863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Jiang X., Zhan Y., Yang D.-H., Bao L. Immunotherapy in Gastrointestinal Cancers: Current Insights. Clin. Pharmacol. 2025;17:167–183. doi: 10.2147/CPAA.S497836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Chen H., Yang H., Guo L., Sun Q. The Role of Immune Checkpoint Inhibitors in Cancer Therapy: Mechanism and Therapeutic Advances. MedComm. 2025;6:e70412. doi: 10.1002/mco2.70412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Sobhani N., Tardiel-Cyril D.R., Davtyan A., Generali D., Roudi R., Li Y. CTLA-4 in Regulatory T Cells for Cancer Immunotherapy. Cancers. 2021;13:1440. doi: 10.3390/cancers13061440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Park J., Skålhegg B.S. Combination of PD-1/PD-L1 and CTLA-4 Inhibitors in the Treatment of Cancer—A Brief Update. Front. Immunol. 2025;16:1680838. doi: 10.3389/fimmu.2025.1680838. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Mohiuddin M. Anti-PD-1/PD-L1 Immunotherapy as a Potential Treatment Option for Lung Cancer: A Perspective Analysis of Opportunities and Challenges. Health Sci. Rep. 2026;9:e71749. doi: 10.1002/hsr2.71749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Ward F.J., Kennedy P.T., Al-Fatyan F., Dahal L.N., Abu-Eid R. CTLA-4—Two Pathways to Anti-Tumour Immunity? Immunother. Adv. 2025;5:ltaf008. doi: 10.1093/immadv/ltaf008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Trikha M., Dent S., Ludford K., Ronan K., Thomas S., Grandhi N., Prabhash K., Noronha V. Translating Innovation Into Practice: Dissemination of Immune Checkpoint Inhibitors and Their Toxicity Management Across the Globe. Am. Soc. Clin. Oncol. Educ. Book. 2026;46:e517652. doi: 10.1200/EDBK-26-517652. [DOI] [PubMed] [Google Scholar]
  • 53.Sharma A., Kumar H., Paladiya R., Sisodia R., Bharadwaj H.R., Mohamed I., Alsakarneh S., Hayat U., Sonaiya S., Pinnam H.S., et al. Antibody–Drug Conjugates in Gastrointestinal Oncology: Clinical Efficacy and Inpatient Toxicity Management. J. Pers. Med. 2026;16:195. doi: 10.3390/jpm16040195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Ntellas P., Athauda A., Sugiyama K., Le M.L., Crespi V., Chau I. Expanding the Potential of Antibody–Drug Conjugates in Gastrointestinal Malignancies: Beyond HER2 Targets. ESMO Gastrointest. Oncol. 2025;8:100154. doi: 10.1016/j.esmogo.2025.100154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Casak S.J., Marcus L., Fashoyin-Aje L., Mushti S.L., Cheng J., Shen Y.-L., Pierce W.F., Her L., Goldberg K.B., Theoret M.R., et al. FDA Approval Summary: Pembrolizumab for the First-Line Treatment of Patients with MSI-H/dMMR Advanced Unresectable or Metastatic Colorectal Carcinoma. Clin. Cancer Res. 2021;27:4680–4684. doi: 10.1158/1078-0432.CCR-21-0557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Mulet-Margalef N., Linares J., Badia-Ramentol J., Jimeno M., Sanz Monte C., Manzano Mozo J.L., Calon A. Challenges and Therapeutic Opportunities in the dMMR/MSI-H Colorectal Cancer Landscape. Cancers. 2023;15:1022. doi: 10.3390/cancers15041022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Koustas E., Trifylli E.-M., Oraiopoulos V., Karamouzis M.V., Sarantis P. Microsatellite Phenotype as a Guide for Immunotherapy in Colorectal Cancer: Current Status and Future Perspectives. Genes. 2026;17:674. doi: 10.3390/genes17060674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Chen E., Zhou W. Immunotherapy in Microsatellite-Stable Colorectal Cancer: Strategies to Overcome Resistance. Crit. Rev. Oncol./Hematol. 2025;212:104775. doi: 10.1016/j.critrevonc.2025.104775. [DOI] [PubMed] [Google Scholar]
  • 59.Mulder K., Lim H., Ravi D., Ahmed S., Brunet B., Davies J., Doll C., Dueck D.-A., Gordon V., Hebbard P., et al. Current Role of Immunotherapy in Gastric, Esophageal and Gastro-Esophageal Junction Cancers—A Report from the Western Canadian Gastrointestinal Cancer Consensus Conference. Curr. Oncol. 2022;29:3160–3170. doi: 10.3390/curroncol29050257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Peshin S., Takrori E., Kodali N.A., Bashir F., Gibson M., Singal S. Therapeutic Frontiers in Gastroesophageal Cancer: Contemporary Concepts in Management and Therapy. Int. J. Mol. Sci. 2025;26:11424. doi: 10.3390/ijms262311424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Dedecker H., Teuwen L.-A., Vandamme T., Domen A., Prenen H. The Role of Immunotherapy in Esophageal and Gastric Cancer. Clin. Colorectal Cancer. 2023;22:175–182. doi: 10.1016/j.clcc.2023.03.001. [DOI] [PubMed] [Google Scholar]
  • 62.Narita Y., Muro K. Updated Immunotherapy for Gastric Cancer. J. Clin. Med. 2023;12:2636. doi: 10.3390/jcm12072636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wang L. Combined Treatment of HCC with CTLA-4 Inhibitors and PD-1/PD-L1 Inhibitors: Mechanisms, Progress and Challenges. Theor. Nat. Sci. 2025;69:111–121. doi: 10.54254/2753-8818/2025.19705. [DOI] [Google Scholar]
  • 64.Dai S., Chen Y., Cai W., Dong S., Zhao J., Chen L., Cheng C.-S. Combination Immunotherapy in Hepatocellular Carcinoma: Synergies among Immune Checkpoints, TKIs, and Chemotherapy. J. Hematol. Oncol. 2025;18:85. doi: 10.1186/s13045-025-01739-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Peshin S., Bashir F., Kodali N.A., Dharia A., Zaiter S., Singal S., Moka N. Immunotherapy in GI Cancers: Lessons from Key Trials and Future Clinical Applications. Antibodies. 2025;14:58. doi: 10.3390/antib14030058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Laface C., Memeo R., Maselli F.M., Santoro A.N., Iaia M.L., Ambrogio F., Laterza M., Cazzato G., Guarini C., De Santis P., et al. Immunotherapy and Pancreatic Cancer: A Lost Challenge? Life. 2023;13:1482. doi: 10.3390/life13071482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Mansinho A., Albuquerque J., Lopes A., Calvo E. Integrating Antibody–Drug Conjugates into Solid Tumor Oncology: Current Standards and Future Directions. Cancer. 2026;132:e70416. doi: 10.1002/cncr.70416. [DOI] [PubMed] [Google Scholar]
  • 68.Toyozumi T., Shimada H., Matsubara H. Immune Checkpoint Inhibitors in Gastrointestinal Cancers: Current Evidence and Future Directions. Oncol. Res. 2025;33:3185–3206. doi: 10.32604/or.2025.065818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Ratti M., Citterio C., Orlandi E., Vecchia S., Anselmi E., Toscani I., Rotolo M., Salati M., Ghidini M. Fighting HER2 in Gastric Cancer: Current Approaches and Future Landscapes. Int. J. Mol. Sci. 2025;26:7285. doi: 10.3390/ijms26157285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Iqbal N., Iqbal N. Human Epidermal Growth Factor Receptor 2 (HER2) in Cancers: Overexpression and Therapeutic Implications. Mol. Biol. Int. 2014;2014:852748. doi: 10.1155/2014/852748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Wang H. Role of HER2—From Molecular Mechanisms to Targeted Therapies. IntechOpen; London, UK: 2025. The Role of HER2 in Cancer: Molecular Mechanisms, Clinical Impact, and Advances in Targeted Therapies. [Google Scholar]
  • 72.Jones L., Cunningham D., Starling N. HER-2 Directed Therapies across Gastrointestinal Tract Cancers—A New Frontier. Cancer Treat. Rev. 2024;129:102789. doi: 10.1016/j.ctrv.2024.102789. [DOI] [PubMed] [Google Scholar]
  • 73.Evaluation of HER2 Immunohistochemistry-Positive and Immunohistochemistry-Negative FISH Amplification Breast Cancers Using next-Generation Sequencing. Oncologie. 2024;26:861–866. doi: 10.1515/oncologie-2024-0271. [DOI] [Google Scholar]
  • 74.Abrahao-Machado L.F., Scapulatempo-Neto C. HER2 Testing in Gastric Cancer: An Update. World J. Gastroenterol. 2016;22:4619–4625. doi: 10.3748/wjg.v22.i19.4619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Grillo F., Fassan M., Sarocchi F., Fiocca R., Mastracci L. HER2 Heterogeneity in Gastric/Gastroesophageal Cancers: From Benchside to Practice. World J. Gastroenterol. 2016;22:5879–5887. doi: 10.3748/wjg.v22.i26.5879. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Grabsch H., Sivakumar S., Gray S., Gabbert H.E., Müller W. HER2 Expression in Gastric Cancer: Rare, Heterogeneous and of No Prognostic Value—Conclusions from 924 Cases of Two Independent Series. Anal. Cell. Pathol. 2010;32:519498. doi: 10.3233/CLO-2009-0497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Gerson J.N., Skiara S., Denlinger C.S., Astsaturov I. Perspectives of HER2-Targeting in Gastric and Esophageal Cancer. Expert. Opin. Investig. Drugs. 2017;26:531–540. doi: 10.1080/13543784.2017.1315406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Semeradt J., Krawczyk O., Krawczyk N., Jędrzejczak P., Kopyciński W., Dębska-Szmich S. Anti-HER2 Treatment in Solid Tumors beyond Breast Cancer with HER2 Overexpression—An Exciting New Remake of the Old Target. Oncol. Clin. Pract. 2025;21:279–298. doi: 10.5603/ocp.106480. [DOI] [Google Scholar]
  • 79.Pous A., Notario L., Hierro C., Layos L., Bugés C. HER2-Positive Gastric Cancer: The Role of Immunotherapy and Novel Therapeutic Strategies. Int. J. Mol. Sci. 2023;24:11403. doi: 10.3390/ijms241411403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Hussain A., Iqbal Q., Isaac S., Shariff F., Tariq E., Awais H., Mainkar N., Reis H.L., Arora A., Deotare A., et al. Efficacy and Safety of Trastuzumab Deruxtecan in Gastrointestinal Malignancies: A Systemic Review and Meta-Analysis. Front. Gastroenterol. 2025;4:1559934. doi: 10.3389/fgstr.2025.1559934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Kang C. Trastuzumab Deruxtecan: A Review in Gastric or Gastro-Oesophageal Junction Adenocarcinoma. Target. Oncol. 2023;18:981–989. doi: 10.1007/s11523-023-00998-y. [DOI] [PubMed] [Google Scholar]
  • 82.EMA Enhertu (Trastuzumab Deruxtecan), MAH: Daiichi Sankyo Europe GmbH. [(accessed on 16 June 2026)]. Available online: https://ec.europa.eu/newsroom/ema/items/872112/en.
  • 83.Trastuzumab Deruxtecan (Enhertu) Indication: As Monotherapy, Is Indicated for the Treatment of Adult Patients with Unresectable, Locally Advanced or Metastatic HER2-Positive Gastric or Gastroesophageal Junction (GEJ) Adenocarcinoma Who Have Received a Prior Trastuzumab-Based Regimen: Reimbursement Recommendation. Canadian Agency for Drugs and Technologies in Health; Ottawa, ON, USA: 2025. [(accessed on 4 August 2026)]. CADTH Reimbursement Reviews and Recommendations. Available online: http://www.ncbi.nlm.nih.gov/books/NBK614929/ [PubMed] [Google Scholar]
  • 84.Mahmood U. Advancing Precision Oncology for Esophagogastric Cancer in the Era of Antibody-Drug Conjugates. Ann. Esophagus. 2025;8:25. doi: 10.21037/aoe-25-28. [DOI] [Google Scholar]
  • 85.Wang R., Hu B., Pan Z., Mo C., Zhao X., Liu G., Hou P., Cui Q., Xu Z., Wang W., et al. Antibody–Drug Conjugates (ADCs): Current and Future Biopharmaceuticals. J. Hematol. Oncol. 2025;18:51. doi: 10.1186/s13045-025-01704-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Yin Q., Zhang Y., Xie X., Hou M., Chen X., Ding J. Navigating the Future of Gastric Cancer Treatment: A Review on the Impact of Antibody-Drug Conjugates. Cell Death Discov. 2025;11:144. doi: 10.1038/s41420-025-02429-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Liu X., Zhang J., Yi T., Li H., Tang X., Liu D., Wu D., Li Y. Decoding Tumor Angiogenesis: Pathways, Mechanisms, and Future Directions in Anti-Cancer Strategies. Biomark. Res. 2025;13:62. doi: 10.1186/s40364-025-00779-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Li J., Li Z., Wang K. Targeting Angiogenesis in Gastrointestinal Tumors: Strategies from Vascular Disruption to Vascular Normalization and Promotion Strategies Angiogenesis Strategies in GI Tumor Therapy. Front. Immunol. 2025;16:1550752. doi: 10.3389/fimmu.2025.1550752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Poon R.T.-P., Fan S.-T., Wong J. Clinical Significance of Angiogenesis in Gastrointestinal Cancers. Ann. Surg. 2003;238:9–28. doi: 10.1097/01.sla.0000075047.47175.35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Nghiem E., Friedman B., Srivastava N., Takchi A., Mohammadi M., Dedushi D., Edelmann W., Kuang C., Bteich F. Emerging Strategies for Targeting Angiogenesis and the Tumor Microenvironment in Gastrointestinal Malignancies: A Comprehensive Review. Pharmaceuticals. 2025;18:1160. doi: 10.3390/ph18081160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Arora N., Gupta A., Singh P.P. Biological Agents in Gastrointestinal Cancers: Adverse Effects and Their Management. J. Gastrointest. Oncol. 2017;8:485–498. doi: 10.21037/jgo.2017.01.07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Saoudi González N., Castet F., Élez E., Macarulla T., Tabernero J. Current and Emerging Anti-Angiogenic Therapies in Gastrointestinal and Hepatobiliary Cancers. Front. Oncol. 2022;12:1021772. doi: 10.3389/fonc.2022.1021772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Elez E., Siena S., Sartore-Bianchi A., Ros J., Ciardello F., Martinelli E., Steeghs N., Huijberts S., Cervantes A., Roselló S., et al. Efficacy and Safety of Atezolizumab plus Bevacizumab in MSI-like Metastatic Colorectal Cancer: A Multicenter, Single-Arm, Phase II, Open-Label Clinical Trial. ESMO Open. 2025;10:105892. doi: 10.1016/j.esmoop.2025.105892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Chen M.-H., Lu S.-N., Chen C.-H., Lin P.-C., Jiang J.-K., D’yachkova Y., Lukanowski M., Cheng R., Chen L.-T. How May Ramucirumab Help Improve Treatment Outcome for Patients with Gastrointestinal Cancers? Cancers. 2021;13:3536. doi: 10.3390/cancers13143536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Malhotra U. Ramucirumab: A Novel Antiangiogenic Agent for Gastric Cancer and Gastroesophageal Junction Cancer|Targeted Oncology—Immunotherapy, Biomarkers, and Cancer Pathways. [(accessed on 16 June 2026)]. Available online: https://www.targetedonc.com/view/ramucirumab-a-novel-antiangiogenic-agent-for-gastric-cancer-and-gastroesophageal-junction-cancer.
  • 96.Tang P.A., Moore M.J. Aflibercept in the Treatment of Patients with Metastatic Colorectal Cancer: Latest Findings and Interpretations. Ther. Adv. Gastroenterol. 2013;6:459–473. doi: 10.1177/1756283X13502637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Salem M.E., El-Refai S.M. Efficacy and Safety of Aflibercept and Its Role in the Treatment of Metastatic Colorectal Cancer. Rare Cancers Ther. 2013;1:3–19. doi: 10.1007/s40487-013-0002-8. [DOI] [Google Scholar]
  • 98.Wee P., Wang Z. Epidermal Growth Factor Receptor Cell Proliferation Signaling Pathways. Cancers. 2017;9:52. doi: 10.3390/cancers9050052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Leite L.F., Noronha M.M., de Menezes J.S.A., da Conceição L.D., Almeida L.F.C., Cappellaro A.P., Belotto M., Biachi de Castria T., Peixoto R.D., Megid T.B.C. Anti-EGFR Therapy in Metastatic Colorectal Cancer: Identifying, Tracking, and Overcoming Resistance. Cancers. 2025;17:2804. doi: 10.3390/cancers17172804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Jin L.-Y., Chen G.-Q., Xie J., Chen P., Sun H.-Y., Zheng H.-L., Li L.-C., Mao K.-L. Real-World Safety of Anti-EGFR Antibodies: 20-Year Pharmacovigilance of Cetuximab and Panitumumab. Int. J. Med. Sci. 2025;22:4131–4144. doi: 10.7150/ijms.122194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Suzuki S., Saito Y., Saito K., Yamada Y., Takahashi K., Kumanishi R., Fukui T., Yoshioka T. Limited Efficacy of Anti-EGFR Monoclonal Antibodies in Colorectal Cancer Patients with Rare RAS Variants: Analysis of the C-CAT Database. Curr. Issues Mol. Biol. 2024;46:14476–14486. doi: 10.3390/cimb46120869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Gu Y., He H., Qiao S., Shao Y., Wang L., Zhang Z., Zhang L., Zhou F. EGFR: New Insights on Its Activation and Mutation in Tumor and Tumor Immunotherapy. Adv. Sci. 2025;12:e05785. doi: 10.1002/advs.202505785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Choucair K., Imtiaz H., Uddin M.H., Nagasaka M., Al-Hallak M.N., Philip P.A., El-Rayes B., Pasche B.C., Azmi A.S. Targeting KRAS Mutations: Orchestrating Cancer Evolution and Therapeutic Challenges. Signal Transduct. Target. Ther. 2025;10:385. doi: 10.1038/s41392-025-02473-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Zhao B., Wang L., Qiu H., Zhang M., Sun L., Peng P., Yu Q., Yuan X. Mechanisms of Resistance to Anti-EGFR Therapy in Colorectal Cancer. Oncotarget. 2016;8:3980–4000. doi: 10.18632/oncotarget.14012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Dean L., Kane M. Panitumumab Therapy and RAS and BRAF Genotype. In: Pratt V.M., Scott S.A., Pirmohamed M., Esquivel B., Kattman B.L., Malheiro A.J., editors. MINI Medical Genetics Summaries. National Center for Biotechnology Information (US); Bethesda, MD, USA: 2012. [(accessed on 4 August 2026)]. Available online: https://www.ncbi.nlm.nih.gov/books/NBK564800/ [PubMed] [Google Scholar]
  • 106.Hummel M., Hegewisch-Becker S., Neumann J.H.L., Vogel A. BRAF Testing in Metastatic Colorectal Carcinoma and Novel, Chemotherapy-Free Therapeutic Options. Pathologe. 2021;42:98–109. doi: 10.1007/s00292-021-00946-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Doleschal B., Petzer A., Rumpold H. Current Concepts of Anti-EGFR Targeting in Metastatic Colorectal Cancer. Front. Oncol. 2022;12:1048166. doi: 10.3389/fonc.2022.1048166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Raimondi A., Tinè G., Boige V., Stefano A.D., Ballhausen A., Gourgou S., Giuliani F., Stahler A., Randon G., Prisciandaro M., et al. Anti-EGFR-Based Maintenance versus Stop and Go in Patients with Left-Sided, Non-MSI-H, RAS/BRAF-Wt Metastatic Colorectal Cancer: Individual Patient Data Pooled Analysis. ESMO Open. 2026;11:107775. doi: 10.1016/j.esmoop.2026.107775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Abdel Hamid M., Pammer L.M., Oberparleiter S., Günther M., Amann A., Gruber R.A., Mair A., Nocera F.I., Ormanns S., Zimmer K., et al. Multidimensional Differences of Right- and Left-Sided Colorectal Cancer and Their Impact on Targeted Therapies. npj Precis. Oncol. 2025;9:116. doi: 10.1038/s41698-025-00892-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Yamaoka T., Ohba M., Ohmori T. Molecular-Targeted Therapies for Epidermal Growth Factor Receptor and Its Resistance Mechanisms. Int. J. Mol. Sci. 2017;18:2420. doi: 10.3390/ijms18112420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Schirripa M., Lenz H.-J. Overcoming Resistance to Anti-EGFR Therapy—Where Do We Stand? Nat. Rev. Gastroenterol. Hepatol. 2016;13:258–259. doi: 10.1038/nrgastro.2016.52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Miyamoto Y., Suyama K., Baba H. Recent Advances in Targeting the EGFR Signaling Pathway for the Treatment of Metastatic Colorectal Cancer. Int. J. Mol. Sci. 2017;18:752. doi: 10.3390/ijms18040752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Ríos-Hoyo A., Monzonís X., Vidal J., Linares J., Montagut C. Unveiling Acquired Resistance to Anti-EGFR Therapies in Colorectal Cancer: A Long and Winding Road. Front. Pharmacol. 2024;15:1398419. doi: 10.3389/fphar.2024.1398419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Prahallad A., Sun C., Huang S., Di Nicolantonio F., Salazar R., Zecchin D., Beijersbergen R.L., Bardelli A., Bernards R. Unresponsiveness of Colon Cancer to BRAF(V600E) Inhibition through Feedback Activation of EGFR. Nature. 2012;483:100–103. doi: 10.1038/nature10868. [DOI] [PubMed] [Google Scholar]
  • 115.Corcoran R.B., Ebi H., Turke A.B., Coffee E.M., Nishino M., Cogdill A.P., Brown R.D., Della Pelle P., Dias-Santagata D., Hung K.E., et al. EGFR-Mediated Re-Activation of MAPK Signaling Contributes to Insensitivity of BRAF Mutant Colorectal Cancers to RAF Inhibition with Vemurafenib. Cancer Discov. 2012;2:227–235. doi: 10.1158/2159-8290.CD-11-0341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Tabernero J., Grothey A., Van Cutsem E., Yaeger R., Wasan H., Yoshino T., Desai J., Ciardiello F., Loupakis F., Hong Y.S., et al. Encorafenib Plus Cetuximab as a New Standard of Care for Previously Treated BRAF V600E-Mutant Metastatic Colorectal Cancer: Updated Survival Results and Subgroup Analyses from the BEACON Study. J. Clin. Oncol. 2021;39:273–284. doi: 10.1200/JCO.20.02088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Kopetz S., Grothey A., Yaeger R., Van Cutsem E., Desai J., Yoshino T., Wasan H., Ciardiello F., Loupakis F., Hong Y.S., et al. Encorafenib, Binimetinib, and Cetuximab in BRAF V600E-Mutated Colorectal Cancer. N. Engl. J. Med. 2019;381:1632–1643. doi: 10.1056/NEJMoa1908075. [DOI] [PubMed] [Google Scholar]
  • 118.Fakih M.G., Salvatore L., Esaki T., Modest D.P., Lopez-Bravo D.P., Taieb J., Karamouzis M.V., Ruiz-Garcia E., Kim T.-W., Kuboki Y., et al. Sotorasib plus Panitumumab in Refractory Colorectal Cancer with Mutated KRAS G12C. N. Engl. J. Med. 2023;389:2125–2139. doi: 10.1056/NEJMoa2308795. [DOI] [PubMed] [Google Scholar]
  • 119.Amodio V., Yaeger R., Arcella P., Cancelliere C., Lamba S., Lorenzato A., Arena S., Montone M., Mussolin B., Bian Y., et al. EGFR Blockade Reverts Resistance to KRASG12C Inhibition in Colorectal Cancer. Cancer Discov. 2020;10:1129–1139. doi: 10.1158/2159-8290.CD-20-0187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Yaeger R., Weiss J., Pelster M.S., Spira A.I., Barve M., Ou S.-H.I., Leal T.A., Bekaii-Saab T.S., Paweletz C.P., Heavey G.A., et al. Adagrasib with or without Cetuximab in Colorectal Cancer with Mutated KRAS G12C. N. Engl. J. Med. 2023;388:44–54. doi: 10.1056/NEJMoa2212419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Dominguez Wiscovitch A., Sanchez Mendez R.J., Chuy J. CLDN18.2-Targeted Therapy in Gastrointestinal Cancers. Cancers. 2025;17:3764. doi: 10.3390/cancers17233764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Wang C., Wang Y., Chen J., Wang Y., Pang C., Liang C., Yuan L., Ma Y. CLDN18.2 Expression and Its Impact on Prognosis and the Immune Microenvironment in Gastric Cancer. BMC Gastroenterol. 2023;23:283. doi: 10.1186/s12876-023-02924-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Liu J., Liu Y., Du Y., Sun G. CLDN18.2-Directed Therapeutics in Gastric and Gastroesophageal Junction Adenocarcinoma: Biomarker Assessment, Expression Dynamics, and Treatment Sequencing. Cancer Manag. Res. 2026;18:611187. doi: 10.2147/CMAR.S611187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Poniewierska-Baran A., Plewa P., Żabicka Z., Pawlik A. Claudin18.2 as a Promising Therapeutic Target in Gastric Cancer. Cells. 2025;14:1285. doi: 10.3390/cells14161285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Liu Y., Huang W., Hsu J.C., Sun Z., Cai W., Kang L. Targeting Claudin18.2 for Cancer Theranostics: From Molecular Imaging to Precision Therapy. iScience. 2025;28:113491. doi: 10.1016/j.isci.2025.113491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Egebjerg K., Lordick F., Liu L.L., Dahlgaard N.B., Mau-Sørensen M. Zolbetuximab as a Gastric Lineage-Directed Immunotherapy: Mechanistic Rationale and Translational Evidence in CLDN18.2-Positive Gastroesophageal Adenocarcinoma. Expert. Rev. Anticancer. Ther. 2026;26:817–827. doi: 10.1080/14737140.2026.2615855. [DOI] [PubMed] [Google Scholar]
  • 127.Maeng C.H., Alkashash A., Sy A., Barnes H., Bannon S., Simms C., Strickland M.R., Glickman J.N., Klempner S.J. Clinicopathologic Correlates of Claudin 18.2 Expression in Esophagogastric Cancer at Multiple Expression Levels. ESMO Gastrointest. Oncol. 2026;11:100278. doi: 10.1016/j.esmogo.2025.100278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Easaw J.C., Lim H.J., Karachiwala H., Gill S., Zhu X., Bateman J. Zolbetuximab or Immunotherapy as the Initial Targeted Therapy in CLDN18.2-Positive, HER2-Negative Advanced Gastric Cancer: Weighing the Options. Curr. Oncol. 2025;32:648. doi: 10.3390/curroncol32110648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Terán E., Pazo R., Caritá L., Alsina M., Hierro C., Blanco C., Reboredo M., Landolfi S., Zucchiatti A., Visa L., et al. Claudin 18.2 Expression in Gastroesophageal Adenocarcinoma: Biomarker Overlap and Association with Clinical Outcomes in a European Cohort. ESMO Open. 2026;11:106053. doi: 10.1016/j.esmoop.2025.106053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Gordon A., Johnston E., Lau D.K., Starling N. Targeting FGFR2 Positive Gastroesophageal Cancer: Current and Clinical Developments. Onco Targets Ther. 2022;15:1183–1196. doi: 10.2147/OTT.S282718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.He Z., Chen Y., Li G., Wang J., Wang Y., Tu P., Huang Y., Zhao L., Pan X., Liu H., et al. FGFR Aberrations in Solid Tumors: Mechanistic Insights and Clinical Translation of Targeted Therapies. Cancers. 2026;18:89. doi: 10.3390/cancers18010089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Maron S.B., Xu R.-H., Wainberg Z.A., Rha S.Y., Zhang Y., Pietrantonio F., Oliveira S.C.S., Li Y., Chen M.-H., Korphaisarn K., et al. Global Prevalence of FGFR2b Protein Overexpression in Advanced Gastric Cancer and Gastroesophageal Junction Cancers: Pooled Analysis of Two Bemarituzumab Phase III Studies. ESMO Open. 2026;11:107698. doi: 10.1016/j.esmoop.2026.107698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Xiang H., Chan A.G., Ahene A., Bellovin D.I., Deng R., Hsu A.W., Jeffry U., Palencia S., Powers J., Zanghi J., et al. Preclinical Characterization of Bemarituzumab, an Anti-FGFR2b Antibody for the Treatment of Cancer. MAbs. 2021;13:1981202. doi: 10.1080/19420862.2021.1981202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Seraji N., Berger I. FGFR as a Predictive Marker for Targeted Therapy in Gastrointestinal Malignancies: A Systematic Review. J. Gastrointest. Cancer. 2025;56:96. doi: 10.1007/s12029-025-01214-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Tojjari A., Nagdas S., Saeed A., Saeed A. Deciphering the FGFR2 Code: Innovative Targets in Gastric Cancer Therapy. Curr. Oncol. 2024;31:4305–4317. doi: 10.3390/curroncol31080321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Goyal L., Saha S.K., Liu L.Y., Siravegna G., Leshchiner I., Ahronian L.G., Lennerz J.K., Vu P., Deshpande V., Kambadakone A., et al. Polyclonal Secondary FGFR2 Mutations Drive Acquired Resistance to FGFR Inhibition in Patients with FGFR2 Fusion–Positive Cholangiocarcinoma. Cancer Discov. 2017;7:252–263. doi: 10.1158/2159-8290.CD-16-1000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Wu Q., Ellis H., Siravegna G., Michel A.G., Norden B.L., Fece de la Cruz F., Balasooriya E.R., Zhen Y., Silveira V.S., Che J., et al. Landscape of Clinical Resistance Mechanisms to FGFR Inhibitors in FGFR2-Altered Cholangiocarcinoma. Clin. Cancer Res. 2024;30:198–208. doi: 10.1158/1078-0432.CCR-23-1317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.DiPeri T.P., Zhao M., Evans K.W., Varadarajan K., Moss T., Scott S., Kahle M.P., Byrnes C.C., Chen H., Lee S.S., et al. Convergent MAPK Pathway Alterations Mediate Acquired Resistance to FGFR Inhibitors in FGFR2 Fusion-Positive Cholangiocarcinoma. J. Hepatol. 2024;80:322–334. doi: 10.1016/j.jhep.2023.10.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Golan T., Hammel P., Reni M., Van Cutsem E., Macarulla T., Hall M.J., Park J.-O., Hochhauser D., Arnold D., Oh D.-Y., et al. Maintenance Olaparib for Germline BRCA-Mutated Metastatic Pancreatic Cancer. N. Engl. J. Med. 2019;381:317–327. doi: 10.1056/NEJMoa1903387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Abou-Alfa G.K., Macarulla T., Javle M.M., Kelley R.K., Lubner S.J., Adeva J., Cleary J.M., Catenacci D.V., Borad M.J., Bridgewater J., et al. Ivosidenib in IDH1-Mutant, Chemotherapy-Refractory Cholangiocarcinoma (ClarIDHy): A Multicentre, Randomised, Double-Blind, Placebo-Controlled, Phase 3 Study. Lancet Oncol. 2020;21:796–807. doi: 10.1016/S1470-2045(20)30157-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Vogel A., Bridgewater J., Edeline J., Kelley R.K., Klümpen H.J., Malka D., Primrose J.N., Rimassa L., Stenzinger A., Valle J.W., et al. Biliary Tract Cancer: ESMO Clinical Practice Guideline for Diagnosis, Treatment and Follow-Up. Ann. Oncol. 2023;34:127–140. doi: 10.1016/j.annonc.2022.10.506. [DOI] [PubMed] [Google Scholar]
  • 142.Zhu A.X., Macarulla T., Javle M.M., Kelley R.K., Lubner S.J., Adeva J., Cleary J.M., Catenacci D.V.T., Borad M.J., Bridgewater J.A., et al. Final Overall Survival Efficacy Results of Ivosidenib for Patients With Advanced Cholangiocarcinoma With IDH1 Mutation: The Phase 3 Randomized Clinical ClarIDHy Trial. JAMA Oncol. 2021;7:1669–1677. doi: 10.1001/jamaoncol.2021.3836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Wang Y., Kong F., Situ X., Yang T., Sun T., Xie Z., Wang P., Chen Y., Jiang N., Dong Y., et al. Defining Homologous Recombination Deficiency Status in Pancreatic Ductal Adenocarcinoma: Clinical Implications for Evaluating Response to Platinum Chemotherapy. Drug Resist. Updates. 2025;83:101291. doi: 10.1016/j.drup.2025.101291. [DOI] [PubMed] [Google Scholar]
  • 144.Beutel A.K., Halbrook C.J., Ekizce M., Lindenmayer J., Roger E., Calderon S.E., Seufferlein T., Kleger A., Gout J., Perkhofer L. Homologous Repair-Deficient Pancreatic Cancer: Refined Targeting of DNA Damage Response Is an Effective Therapeutic Strategy. United Eur. Gastroenterol. J. 2025;13:1328–1342. doi: 10.1002/ueg2.12773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Principe D.R. Precision Medicine for BRCA/PALB2-Mutated Pancreatic Cancer and Emerging Strategies to Improve Therapeutic Responses to PARP Inhibition. Cancers. 2022;14:897. doi: 10.3390/cancers14040897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Reiss K.A., Mick R., O’Hara M.H., Teitelbaum U., Karasic T.B., Schneider C., Cowden S., Southwell T., Romeo J., Izgur N., et al. Phase II Study of Maintenance Rucaparib in Patients With Platinum-Sensitive Advanced Pancreatic Cancer and a Pathogenic Germline or Somatic Variant in BRCA1, BRCA2, or PALB2. J. Clin. Oncol. 2021;39:2497–2505. doi: 10.1200/JCO.21.00003. [DOI] [PubMed] [Google Scholar]
  • 147.Harding J.J., Fan J., Oh D.-Y., Choi H.J., Kim J.W., Chang H.-M., Bao L., Sun H.-C., Macarulla T., Xie F., et al. Zanidatamab for HER2-Amplified, Unresectable, Locally Advanced or Metastatic Biliary Tract Cancer (HERIZON-BTC-01): A Multicentre, Single-Arm, Phase 2b Study. Lancet Oncol. 2023;24:772–782. doi: 10.1016/S1470-2045(23)00242-5. [DOI] [PubMed] [Google Scholar]
  • 148.Subbiah V., Wolf J., Konda B., Kang H., Spira A., Weiss J., Takeda M., Ohe Y., Khan S., Ohashi K., et al. Tumour-Agnostic Efficacy and Safety of Selpercatinib in Patients with RET Fusion-Positive Solid Tumours Other than Lung or Thyroid Tumours (LIBRETTO-001): A Phase 1/2, Open-Label, Basket Trial. Lancet Oncol. 2022;23:1261–1273. doi: 10.1016/S1470-2045(22)00541-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Valle J.W., Kelley R.K., Nervi B., Oh D.-Y., Zhu A.X. Biliary tract cancer. Lancet. 2021;397:428–444. doi: 10.1016/S0140-6736(21)00153-7. [DOI] [PubMed] [Google Scholar]
  • 150.Subbiah V., Oliver T.K., Palma J., Kurzrock R. Living Guidelines for Tumor-Agnostic Therapies: A Pathway to Next-Generation Cancer Treatment. JCO Precis. Oncol. 2026;10:e2500767. doi: 10.1200/PO-25-00767. [DOI] [PubMed] [Google Scholar]
  • 151.Gambardella V., Tarazona N., Cejalvo J.M., Lombardi P., Huerta M., Roselló S., Fleitas T., Roda D., Cervantes A. Personalized Medicine: Recent Progress in Cancer Therapy. Cancers. 2020;12:1009. doi: 10.3390/cancers12041009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Svrcek M., Cayre A., Samaille T., Colle R., Mas L., Bourgoin P., Guillerm E., Cohen R., Penault-Llorca F., André T., et al. High Prevalence of NTRK Fusions in Sporadic dMMR/MSI mCRC RAS/RAF Wild-Type: An Opportunity for a Post-Immune Checkpoint Inhibitors Progression Rescue Strategy. ESMO Gastrointest. Oncol. 2024;5:100084. doi: 10.1016/j.esmogo.2024.100084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Cataldi C., Karaoğlan B.B., Liotta E., De Dosso S. Decoding Immunotherapy Response in Colorectal Cancer: Translational Insights Beyond MSI. Cancers. 2026;18:852. doi: 10.3390/cancers18050852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.André T., Lonardi S., Zaanan A., Cohen R., Taieb J. Checkpoint Inhibitors in Microsatellite Instability-High Metastatic Colorectal Cancer: Treatment Strategies, Specificities, and Care Management Questions. ESMO Gastrointest. Oncol. 2026;12:100341. doi: 10.1016/j.esmogo.2026.100341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Zhong L., Li Y., Xiong L., Wang W., Wu M., Yuan T., Yang W., Tian C., Miao Z., Wang T., et al. Small Molecules in Targeted Cancer Therapy: Advances, Challenges, and Future Perspectives. Signal Transduct. Target. Ther. 2021;6:201. doi: 10.1038/s41392-021-00572-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Carlson J.J., Italiano A., Brose M.S., Federman N., Lassen U., Kummar S., Sullivan S.D. Comparative Effectiveness of Larotrectinib and Entrectinib for TRK Fusion Cancer. Am. J. Manag. Care. 2022;28:S26–S32. doi: 10.37765/ajmc.2022.88845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Garrido-Laguna I., Lonardi S., Bazhenova L., Peeters M., Longo F., Sigal D., Conkling P., Duffaud F., Klingbiel D., Bordogna W., et al. SO-32 Entrectinib in NTRK Fusion-Positive Gastrointestinal Cancers: Updated Integrated Analysis. Ann. Oncol. 2022;33:S370–S371. doi: 10.1016/j.annonc.2022.04.431. [DOI] [Google Scholar]
  • 158.Sohn S.-H., Sul H.J., Kim B.J., Kim H.S., Zang D.Y. Entrectinib Induces Apoptosis and Inhibits the Epithelial-Mesenchymal Transition in Gastric Cancer with NTRK Overexpression. Int. J. Mol. Sci. 2021;23:395. doi: 10.3390/ijms23010395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Airò G., Agnetti V., Pratticò F., Peroni M., Bui S., Mura G., Urbanowicz-Nijaki M., Lai E., Puzzoni M., Contu F., et al. Tissue Biomarkers in Gastric Cancer Treatment: Present and Future. Int. J. Transl. Med. 2024;4:640–660. doi: 10.3390/ijtm4040045. [DOI] [Google Scholar]
  • 160.Palieri R., De Luca M., Balestra F., Panzetta G., Lotesoriere C., Rizzi F., Ricci A.D., Mastrogiacomo R., Curri M.L., Laghi L.A., et al. Liquid Biopsy in Gastrointestinal Oncology: Clinical Applications and Translational Integration of ctDNA, CTCs, and sEVs. Oncol. Rev. 2025;19:1702932. doi: 10.3389/or.2025.1702932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Papaioannou E., Ioannou D., Papamitsou T., Bobos M., Aivaliotis M., Psatha K., Karamitrousis E. Liquid Biopsies for the Diagnosis of Early-Stage Gastric Cancer: A 5-Year Systematic Review. J. Liq. Biopsy. 2026;12:100465. doi: 10.1016/j.jlb.2026.100465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Njoku V.C.E., Lee Y., Ramesh J., Kubatka P., Büsselberg D. Precision Antibody Therapy in Gastric and Gastroesophageal Cancer: Targeting FGFR2b, CLDN18.2, and VEGFR2. Cells. 2025;14:1672. doi: 10.3390/cells14211672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Soragni A., Knudsen E.S., O’Connor T.N., Tognon C.E., Tyner J.W., Gini B., Kim D., Bivona T.G., Zang X., Witkiewicz A.K., et al. Acquired Resistance in Cancer: Towards Targeted Therapeutic Strategies. Nat. Rev. Cancer. 2025;25:613–633. doi: 10.1038/s41568-025-00824-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.El-Deiry W.S., Goldberg R.M., Lenz H., Shields A.F., Gibney G.T., Tan A.R., Brown J., Eisenberg B., Heath E.I., Phuphanich S., et al. The Current State of Molecular Testing in the Treatment of Patients with Solid Tumors, 2019. CA Cancer J. Clin. 2019;69:305–343. doi: 10.3322/caac.21560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Kendsersky N.D., Erlick M.R., Chen E.Y., Kennecke H.F. The Evolving Role for Repeat Molecular Testing in Metastatic Colorectal Cancer. Cancers. 2026;18:1007. doi: 10.3390/cancers18061007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Lorenzen S., Götze T.O., Thuss-Patience P., Biebl M., Homann N., Schenk M., Lindig U., Heuer V., Kretzschmar A., Goekkurt E., et al. Perioperative Atezolizumab Plus Fluorouracil, Leucovorin, Oxaliplatin, and Docetaxel for Resectable Esophagogastric Cancer: Interim Results from the Randomized, Multicenter, Phase II/III DANTE Trial. J. Clin. Oncol. 2024;42:410–420. doi: 10.1200/JCO.23.00975. [DOI] [PubMed] [Google Scholar]
  • 167.Semenova Y., Kerimkulov A., Uskenbayev T., Zharlyganova D., Shatkovskaya O., Sarina T., Manatova A., Yessenbayeva G., Adylkhanov T. Chemotherapy Options for Locally Advanced Gastric Cancer: A Review. Cancers. 2025;17:809. doi: 10.3390/cancers17050809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Cann C., Ciombor K.K. Systemic Therapy for Gastric Cancer: Perioperative Strategies and Beyond. J. Surg. Oncol. 2022;125:1151–1160. doi: 10.1002/jso.26834. [DOI] [PubMed] [Google Scholar]
  • 169.Anjum M.U., Naqvi S.A.A., Jajja S.A., Raina A., Afzal M.U., Faisal K.S., Segovia D., Jin Z., Yoon H.H., Uson Junior P.L.S., et al. Efficacy of Perioperative and Neoadjuvant Therapies in Gastric and Gastroesophageal Junction Adenocarcinoma: A Network Meta-Analysis. Oncologist. 2025;30:oyaf157. doi: 10.1093/oncolo/oyaf157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Dimitrov P., Kjossev K., Popivanov G., Ivanov V., Tabakov M. The Role of Surgery in the Multimodal Treatment of Gastrointestinal Stromal Tumors. Bulg. Soc. Med. Sci. J. 2026;8:e174054. doi: 10.3897/bsms.8.174054. [DOI] [Google Scholar]
  • 171.Verschoor Y.L., van de Haar J., van den Berg J.G., van Sandick J.W., Kodach L.L., van Dieren J.M., Balduzzi S., Grootscholten C., IJsselsteijn M.E., Veenhof A.A.F.A., et al. Neoadjuvant Atezolizumab plus Chemotherapy in Gastric and Gastroesophageal Junction Adenocarcinoma: The Phase 2 PANDA Trial. Nat. Med. 2024;30:519–530. doi: 10.1038/s41591-023-02758-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Yang X., Yin H., Zhang S., Jiang T., Gu J., Jiao H., Wang H., Liang F., Xu S., Fan H., et al. Perioperative Outcomes and Survival after Neoadjuvant Immunochemotherapy for Locally Advanced Esophageal Squamous Cell Carcinoma. J. Thorac. Cardiovasc. Surg. 2025;169:289–300.e6. doi: 10.1016/j.jtcvs.2024.06.020. [DOI] [PubMed] [Google Scholar]
  • 173.Wong L.-Y., Liou D.Z., Backhus L.M., Lui N.S., Shrager J.B., Berry M.F. The Impact of Neoadjuvant Immunotherapy on Perioperative Outcomes and Survival after Esophagectomy for Esophageal Cancer. JTCVS Open. 2023;14:547–560. doi: 10.1016/j.xjon.2023.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Kelly R.J., Ajani J.A., Kuzdzal J., Zander T., Van Cutsem E., Piessen G., Mendez G., Feliciano J., Motoyama S., Lièvre A., et al. Adjuvant Nivolumab in Resected Esophageal or Gastroesophageal Junction Cancer. N. Engl. J. Med. 2021;384:1191–1203. doi: 10.1056/NEJMoa2032125. [DOI] [PubMed] [Google Scholar]
  • 175.Cercek A., Lumish M., Sinopoli J., Weiss J., Shia J., Lamendola-Essel M., El Dika I.H., Segal N., Shcherba M., Sugarman R., et al. PD-1 Blockade in Mismatch Repair-Deficient, Locally Advanced Rectal Cancer. N. Engl. J. Med. 2022;386:2363–2376. doi: 10.1056/NEJMoa2201445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Chalabi M., Verschoor Y.L., Tan P.B., Balduzzi S., Van Lent A.U., Grootscholten C., Dokter S., Büller N.V., Grotenhuis B.A., Kuhlmann K., et al. Neoadjuvant Immunotherapy in Locally Advanced Mismatch Repair-Deficient Colon Cancer. N. Engl. J. Med. 2024;390:1949–1958. doi: 10.1056/NEJMoa2400634. [DOI] [PubMed] [Google Scholar]
  • 177.Villard C., Habib M., Nordenvall C., Nilsson P.J., Jorns C., Sparrelid E. Conversion Therapy in Patients with Colorectal Liver Metastases. Eur. J. Surg. Oncol. 2021;47:2038–2045. doi: 10.1016/j.ejso.2021.02.019. [DOI] [PubMed] [Google Scholar]
  • 178.Folprecht G., Gruenberger T., Bechstein W.O., Raab H.-R., Lordick F., Hartmann J.T., Lang H., Frilling A., Stoehlmacher J., Weitz J., et al. Tumour Response and Secondary Resectability of Colorectal Liver Metastases Following Neoadjuvant Chemotherapy with Cetuximab: The CELIM Randomised Phase 2 Trial. Lancet Oncol. 2010;11:38–47. doi: 10.1016/S1470-2045(09)70330-4. [DOI] [PubMed] [Google Scholar]
  • 179.Wang D.-S., Ren C., Li S.-S., Fong W.P., Wu X.-J., Xiao J., Li B.-K., Zheng Y., Ding P.-R., Chen G., et al. Cetuximab plus FOLFOXIRI versus Cetuximab plus FOLFOX as Conversion Regimen in RAS/BRAF Wild-Type Patients with Initially Unresectable Colorectal Liver Metastases (TRICE Trial): A Randomized Controlled Trial. PLoS Med. 2024;21:e1004389. doi: 10.1371/journal.pmed.1004389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Anselmo A., Cascone C., Siragusa L., Sensi B., Materazzo M., Riccetti C., Bacchiocchi G., Ielpo B., Rosso E., Tisone G. Disappearing Colorectal Liver Metastases: Do We Really Need a Ghostbuster? Healthcare. 2022;10:1898. doi: 10.3390/healthcare10101898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Thomas T.O., Hasan S., Small W., Herman J.M., Lock M., Kim E.Y., Mayr N.A., Teh B.S., Lo S.S. The Tolerance of Gastrointestinal Organs to Stereotactic Body Radiation Therapy: What Do We Know so Far? J. Gastrointest. Oncol. 2014;5:236–246. doi: 10.3978/j.issn.2078-6891.2014.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Igata Y., Kudo M., Kojima M., Kami S., Aoki K., Satake T., Kobayashi T., Sugimoto M., Kobayashi S., Konishi M., et al. Conversion Surgery after Gemcitabine and Cisplatin plus Durvalumab for Advanced Intrahepatic Cholangiocarcinoma: A Case Report. World J. Clin. Cases. 2024;12:6721–6727. doi: 10.12998/wjcc.v12.i34.6721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Zhou Y., Wang Q., Lin M., Wang S. Survival Benefit of Conversion Surgery for Initially Unresectable Biliary Tract Cancer: A Systematic Review and Meta-Analysis. Langenbecks Arch. Surg. 2025;410:63. doi: 10.1007/s00423-025-03630-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Ahn J.W., Shalabi D., Correa-Selm L.M., Dasgeb B., Nikbakht N., Cha J. Impaired Wound Healing Secondary to Bevacizumab. Int. Wound J. 2019;16:1009–1012. doi: 10.1111/iwj.13139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Tan D.J.H., Lim W.H., Yong J.N., Ng C.H., Muthiah M.D., Tan E.X., Xiao J., Lim S.Y., Pin Tang A.S., Pan X.H., et al. UNOS Down-Staging Criteria for Liver Transplantation of Hepatocellular Carcinoma: Systematic Review and Meta-Analysis of 25 Studies. Clin. Gastroenterol. Hepatol. 2023;21:1475–1484. doi: 10.1016/j.cgh.2022.02.018. [DOI] [PubMed] [Google Scholar]
  • 186.Zhou Y., Liao S., You J., Wu H. Conversion Surgery for Initially Unresectable Pancreatic Ductal Adenocarcinoma Following Induction Therapy: A Systematic Review of the Published Literature. Updates Surg. 2022;74:43–53. doi: 10.1007/s13304-021-01089-1. [DOI] [PubMed] [Google Scholar]
  • 187.Miyamoto R., Ogura T., Takahashi A., Ishida H., Matsudaira S., Amikura K., Suzuki Y., Shimizu S., Kihara A., Kanda H., et al. Conversion Surgery for Initially Unresectable Advanced Biliary Tract Cancer Treated with Gemcitabine plus Cisplatin Combination Chemotherapy: A Case Report and Literature Review. Int. Cancer Conf. J. 2022;11:188–195. doi: 10.1007/s13691-022-00545-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Janjigian Y.Y., Al-Batran S.-E., Wainberg Z.A., Muro K., Molena D., Van Cutsem E., Hyung W.J., Wyrwicz L., Oh D.-Y., Omori T., et al. Perioperative Durvalumab in Gastric and Gastroesophageal Junction Cancer. N. Engl. J. Med. 2025;393:217–230. doi: 10.1056/NEJMoa2503701. [DOI] [PubMed] [Google Scholar]
  • 189.Okines A., del Puerto O., Cunningham D., Chau I., Van Cutsem E., Saltz L., Cassidy J. Surgery with Curative-Intent in Patients Treated with First-Line Chemotherapy plus Bevacizumab for Metastatic Colorectal Cancer First BEAT and the Randomised Phase-III NO16966 Trial. Br. J. Cancer. 2009;101:1033–1038. doi: 10.1038/sj.bjc.6605259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Claasen M.P.A.W., Sneiders D., Rakké Y.S., Adam R., Bhoori S., Cillo U., Fondevila C., Reig M., Sapisochin G., Tabrizian P., et al. European Society of Organ Transplantation (ESOT) Consensus Report on Downstaging, Bridging and Immunotherapy in Liver Transplantation for Hepatocellular Carcinoma. Transpl. Int. 2023;36:11648. doi: 10.3389/ti.2023.11648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Kaneko J., Kiuchi R., Takinami M., Ohnishi I., Ito J., Jindo O., Nishino M., Takahashi Y., Yamada T., Sakaguchi T. Successful Intrahepatic Cholangiocarcinoma Conversion Surgery after Administration of Fibroblast Growth Factor Receptor Inhibitor. Clin. J. Gastroenterol. 2024;17:936–942. doi: 10.1007/s12328-024-02014-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Scappaticci F.A., Fehrenbacher L., Cartwright T., Hainsworth J.D., Heim W., Berlin J., Kabbinavar F., Novotny W., Sarkar S., Hurwitz H. Surgical Wound Healing Complications in Metastatic Colorectal Cancer Patients Treated with Bevacizumab. J. Surg. Oncol. 2005;91:173–180. doi: 10.1002/jso.20301. [DOI] [PubMed] [Google Scholar]
  • 193.Hompes D., Ruers T. Review: Incidence and Clinical Significance of Bevacizumab-Related Non-Surgical and Surgical Serious Adverse Events in Metastatic Colorectal Cancer. Eur. J. Surg. Oncol. 2011;37:737–746. doi: 10.1016/j.ejso.2011.06.004. [DOI] [PubMed] [Google Scholar]
  • 194.Wawrzak-Pienkowska K., Pienkowski T., Tankiewicz-Kwedlo A., Ciborowski M., Kurek K., Pawlak D. Differences in Treatment Outcome between Translational Platforms in Developing Therapies for Gastrointestinal Cancers. Eur. J. Pharmacol. 2025;991:177309. doi: 10.1016/j.ejphar.2025.177309. [DOI] [PubMed] [Google Scholar]
  • 195.Desai K., Amonkar M., Jain R., Patton G., Estenson K., Sartaj A., Cosgrove D., Sura S. Biomarker Testing, Treatment Patterns and Outcomes in Previously Treated pMMR or Non-MSI-H Metastatic Colorectal Cancer Patients. Future Oncol. 2025;21:2027–2037. doi: 10.1080/14796694.2025.2504246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Kashoki M., Hanaizi Z., Yordanova S., Veselý R., Bouygues C., Llinares J., Kweder S.L. A Comparison of EMA and FDA Decisions for New Drug Marketing Applications 2014–2016: Concordance, Discordance, and Why. Clin. Pharmacol. Ther. 2020;107:195–202. doi: 10.1002/cpt.1565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Lau F., Seifert R. Comparison of Drug Approvals of the FDA and EMA between 2013 and 2023. Naunyn-Schmiedeberg’s Arch. Pharmacol. 2026;399:279–299. doi: 10.1007/s00210-025-04412-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Vieujean S., Sands B.E., Panaccione R., Rubin D.T., Jairath V., Danese S., Peyrin-Biroulet L., Schreiber S., Vermeire S., D’Haens G., et al. Comparison of the FDA and EMA Guidance on Drug Development in Ulcerative Colitis: An Expert Panel Review. J. Crohns Colitis. 2025;19:jjaf111. doi: 10.1093/ecco-jcc/jjaf111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Mela A., Poniatowski Ł.A., Drop B., Furtak-Niczyporuk M., Jaroszyński J., Wrona W., Staniszewska A., Dąbrowski J., Czajka A., Jagielska B., et al. Overview and Analysis of the Cost of Drug Programs in Poland: Public Payer Expenditures and Coverage of Cancer and Non-Neoplastic Diseases Related Drug Therapies from 2015–2018 Years. Front. Pharmacol. 2020;11:1123. doi: 10.3389/fphar.2020.01123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Taniguchi S., Moriwaki K., Morimoto K., Shimozuma K. Cost-Effectiveness of Pembrolizumab as First-Line Therapy for Advanced Colorectal Cancer With High Microsatellite Instability or Mismatched Repair Deficiency in Japan. Value Health Reg. Issues. 2026;54:101555. doi: 10.1016/j.vhri.2025.101555. [DOI] [PubMed] [Google Scholar]
  • 201.Xie Y., Liu Q., Xiao S., Li X., Qiu L., Gu Y. Multinational Cost-Effectiveness Analysis of Pembrolizumab Combined with Chemotherapy as First-Line Treatment for Advanced Biliary Tract Cancer. Front. Public Health. 2025;13:1597550. doi: 10.3389/fpubh.2025.1597550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Hasin Y., Seldin M., Lusis A. Multi-Omics Approaches to Disease. Genome Biol. 2017;18:83. doi: 10.1186/s13059-017-1215-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Subramanian I., Verma S., Kumar S., Jere A., Anamika K. Multi-Omics Data Integration, Interpretation, and Its Application. Bioinform. Biol. Insights. 2020;14:1177932219899051. doi: 10.1177/1177932219899051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Chen J., Larsson L., Swarbrick A., Lundeberg J. Spatial Landscapes of Cancers: Insights and Opportunities. Nat. Rev. Clin. Oncol. 2024;21:660–674. doi: 10.1038/s41571-024-00926-7. [DOI] [PubMed] [Google Scholar]
  • 205.Kumar V., Ramnarayanan K., Sundar R., Padmanabhan N., Srivastava S., Koiwa M., Yasuda T., Koh V., Huang K.K., Tay S.T., et al. Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer. Cancer Discov. 2022;12:670–691. doi: 10.1158/2159-8290.CD-21-0683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Becker W.R., Nevins S.A., Chen D.C., Chiu R., Horning A.M., Guha T.K., Laquindanum R., Mills M., Chaib H., Ladabaum U., et al. Single-Cell Analyses Define a Continuum of Cell State and Composition Changes in the Malignant Transformation of Polyps to Colorectal Cancer. Nat. Genet. 2022;54:985–995. doi: 10.1038/s41588-022-01088-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Rao A., Barkley D., França G.S., Yanai I. Exploring Tissue Architecture Using Spatial Transcriptomics. Nature. 2021;596:211–220. doi: 10.1038/s41586-021-03634-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Wan J.C.M., Massie C., Garcia-Corbacho J., Mouliere F., Brenton J.D., Caldas C., Pacey S., Baird R., Rosenfeld N. Liquid Biopsies Come of Age: Towards Implementation of Circulating Tumour DNA. Nat. Rev. Cancer. 2017;17:223–238. doi: 10.1038/nrc.2017.7. [DOI] [PubMed] [Google Scholar]
  • 209.Center for Drug Evaluation and Reasearch FDA Approves Pembrolizumab for Esophageal or GEJ Carcinoma. FDA 2021. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-pembrolizumab-esophageal-or-gej-carcinoma.
  • 210.Keytruda|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/keytruda.
  • 211.Obwieszczenie Ministra Zdrowia z Dnia 18 Grudnia 2025 r. w Sprawie Wykazu Refundowanych Leków, Środków Spożywczych Specjalnego Przeznaczenia Żywieniowego Oraz Wyrobów Medycznych na 1 Stycznia 2026 r.-Ministerstwo Zdrowia-Portal Gov.pl. [(accessed on 4 August 2026)]; Available online: https://www.gov.pl/web/zdrowie/obwieszczenie-ministra-zdrowia-z-dnia-18-grudnia-2025-r-w-sprawie-wykazu-refundowanych-lekow-srodkow-spozywczych-specjalnego-przeznaczenia-zywieniowego-oraz-wyrobow-medycznych-na-1-stycznia-2026-r.
  • 212.Center for Drug Evaluation and Reasearch FDA Approves Pembrolizumab with Chemotherapy for HER2-Negative Gastric or Gastroesophageal Junction Adenocarcinoma. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-pembrolizumab-chemotherapy-her2-negative-gastric-or-gastroesophageal-junction.
  • 213.Center for Drug Evaluation and Reasearch FDA Approves Pembrolizumab for HER2 Positive Gastric or Gastroesophageal Junction Adenocarcinoma Expressing PD-L1 (CPS ≥ 1). FDA 2026. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-pembrolizumab-her2-positive-gastric-or-gastroesophageal-junction-adenocarcinoma.
  • 214.Center for Drug Evaluation and Reasearch FDA Approves Pembrolizumab with Chemotherapy for Biliary Tract Cancer. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-pembrolizumab-chemotherapy-biliary-tract-cancer.
  • 215.Center for Drug Evaluation and Reasearch FDA Approves Pembrolizumab for First-Line Treatment of MSI-H/dMMR Colorectal Cancer. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/drug-approvals-and-databases/fda-approves-pembrolizumab-first-line-treatment-msi-hdmmr-colorectal-cancer.
  • 216.DailyMed-KEYTRUDA-Pembrolizumab Injection, Powder, Lyophilized, for Solution KEYTRUDA-Pembrolizumab Injection, Solution. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=9333c79b-d487-4538-a9f0-71b91a02b287.
  • 217.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=545016.
  • 218.Opdivo|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/opdivo.
  • 219.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=531016.
  • 220.Center for Drug Evaluation and Reasearch FDA Approves Nivolumab for Esophageal Squamous Cell Carcinoma. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/drug-approvals-and-databases/fda-approves-nivolumab-esophageal-squamous-cell-carcinoma.
  • 221.Center for Drug Evaluation and Reasearch FDA Approves Nivolumab with Ipilimumab for Unresectable or Metastatic MSI-H or dMMR Colorectal Cancer. FDA 2025. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-nivolumab-ipilimumab-unresectable-or-metastatic-msi-h-or-dmmr-colorectal-cancer.
  • 222.Center for Drug Evaluation and Reasearch FDA Approves Nivolumab with Ipilimumab for Unresectable or Metastatic Hepatocellular Carcinoma. FDA 2025. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-nivolumab-ipilimumab-unresectable-or-metastatic-hepatocellular-carcinoma.
  • 223.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=619317.
  • 224.Tecentriq|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/tecentriq.
  • 225.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=785220.
  • 226.Imfinzi|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/imfinzi.
  • 227.DailyMed-IMJUDO-Tremelimumab Injection, Solution. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=6690679c-be2f-4588-a2e4-89fff74dd6be.
  • 228.Center for Drug Evaluation and Reasearch FDA Approves Durvalumab for Resectable Gastric or Gastroesophageal Junction Adenocarcinoma. FDA 2025. [(accessed on 4 August 2026)]. Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-durvalumab-resectable-gastric-or-gastroesophageal-junction-adenocarcinoma.
  • 229.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=738120.
  • 230.Tevimbra|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/tevimbra.
  • 231.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=708919.
  • 232.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=292409.
  • 233.Herceptin|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/herceptin.
  • 234.Center for Drug Evaluation and Reasearch FDA Approves Fam-Trastuzumab Deruxtecan-Nxki for HER2-Positive Gastric Adenocarcinomas. FDA 2021. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-fam-trastuzumab-deruxtecan-nxki-her2-positive-gastric-adenocarcinomas.
  • 235.Enhertu|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/enhertu.
  • 236.Center for Drug Evaluation and Reasearch FDA Grants Accelerated Approval to Fam-Trastuzumab Deruxtecan-Nxki for Unresectable or Metastatic HER2-Positive Solid Tumors. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-grants-accelerated-approval-fam-trastuzumab-deruxtecan-nxki-unresectable-or-metastatic-her2.
  • 237.Center for Drug Evaluation and Reasearch FDA Grants Accelerated Approval to Zanidatamab-Hrii for Previously Treated Unresectable or Metastatic HER2-Positive Biliary Tract Cancer. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-grants-accelerated-approval-zanidatamab-hrii-previously-treated-unresectable-or-metastatic-her2.
  • 238.Ziihera|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/ziihera.
  • 239.Center for Drug Evaluation and Reasearch FDA Approves Zolbetuximab-Clzb with Chemotherapy for Gastric or Gastroesophageal Junction Adenocarcinoma. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-zolbetuximab-clzb-chemotherapy-gastric-or-gastroesophageal-junction-adenocarcinoma.
  • 240.Vyloy|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/vyloy.
  • 241.DailyMed-AVASTIN-Bevacizumab Injection, Solution. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=939b5d1f-9fb2-4499-80ef-0607aa6b114e.
  • 242.Avastin|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/avastin.
  • 243.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=359711.
  • 244.Cyramza|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/cyramza.
  • 245.DailyMed-CYRAMZA-Ramucirumab Solution. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=c6080942-dee6-423e-b688-1272c2ae90d4.
  • 246.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=353911.
  • 247.DailyMed-ZALTRAP-Ziv-Aflibercept Solution, Concentrate. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=f6725df6-50ee-4b0a-b900-d02ba634395d.
  • 248.Zaltrap|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/zaltrap.
  • 249.DailyMed-ERBITUX-Cetuximab Solution. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=8bc6397e-4bd8-4d37-a007-a327e4da34d9.
  • 250.Erbitux|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/erbitux.
  • 251.DailyMed-VECTIBIX-Panitumumab Solution. [(accessed on 4 August 2026)]; Available online: https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=e0fa4bca-f245-4d92-ae29-b0c630a315c2.
  • 252.Vectibix|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/vectibix.
  • 253.DailyMed-ERBITUX-Cetuximab Solution. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2004/125084lbl.pdf.
  • 254.Braftovi|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/braftovi.
  • 255.Center for Drug Evaluation and Reasearch FDA Grants Accelerated Approval to Encorafenib with Cetuximab and mFOLFOX6 for Metastatic Colorectal Cancer with a BRAF V600E Mutation. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-grants-accelerated-approval-encorafenib-cetuximab-and-mfolfox6-metastatic-colorectal-cancer-braf.
  • 256.Meeting Highlights from the Committee for Medicinal Products for Human Use (CHMP) 18–21 May 2026|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/news/meeting-highlights-committee-medicinal-products-human-use-chmp-18-21-may-2026.
  • 257.Center for Drug Evaluation and Reasearch FDA Grants Accelerated Approval to Adagrasib with Cetuximab for KRAS G12C-Mutated Colorectal Cancer. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-grants-accelerated-approval-adagrasib-cetuximab-kras-g12c-mutated-colorectal-cancer.
  • 258.Krazati|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/krazati.
  • 259.Center for Drug Evaluation and Reasearch FDA Approves Sotorasib with Panitumumab for KRAS G12C-Mutated Colorectal Cancer. FDA 2025. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-sotorasib-panitumumab-kras-g12c-mutated-colorectal-cancer.
  • 260.Lumykras|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/lumykras.
  • 261.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=624117.
  • 262.Pemazyre|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/pemazyre.
  • 263.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=635018.
  • 264.Lytgobi|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/lytgobi.
  • 265.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=562216.
  • 266.Tibsovo|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/tibsovo.
  • 267.Search Orphan Drug Designations and Approvals. [(accessed on 4 August 2026)]; Available online: https://www.accessdata.fda.gov/scripts/opdlisting/oopd/detailedIndex.cfm?cfgridkey=655318.
  • 268.Lynparza|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/lynparza.
  • 269.Center for Drug Evaluation and Reasearch FDA Approves Larotrectinib for Solid Tumors with NTRK Gene Fusions. FDA 2019. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/fda-approves-larotrectinib-solid-tumors-ntrk-gene-fusions.
  • 270.Vitrakvi|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/vitrakvi.
  • 271.Center for Drug Evaluation and Reasearch, FDA Expands Pediatric Indication for Entrectinib and Approves New Pellet Formulation. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-expands-pediatric-indication-entrectinib-and-approves-new-pellet-formulation.
  • 272.Rozlytrek|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/rozlytrek.
  • 273.Center for Drug Evaluation and Reasearch FDA Grants Accelerated Approval to Dostarlimab-Gxly for dMMR Advanced Solid Tumors. FDA 2024. [(accessed on 4 August 2026)]; Available online: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-grants-accelerated-approval-dostarlimab-gxly-dmmr-advanced-solid-tumors.
  • 274.Jemperli|European Medicines Agency (EMA) [(accessed on 4 August 2026)]. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/jemperli.
  • 275.Tie J., Cohen J.D., Lahouel K., Lo S.N., Wang Y., Kosmider S., Wong R., Shapiro J., Lee M., Harris S., et al. Circulating Tumor DNA Analysis Guiding Adjuvant Therapy in Stage II Colon Cancer. N. Engl. J. Med. 2022;386:2261–2272. doi: 10.1056/NEJMoa2200075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 276.Nakamura Y., Watanabe J., Akazawa N., Hirata K., Kataoka K., Yokota M., Kato K., Kotaka M., Kagawa Y., Yeh K.-H., et al. ctDNA-Based Molecular Residual Disease and Survival in Resectable Colorectal Cancer. Nat. Med. 2024;30:3272–3283. doi: 10.1038/s41591-024-03254-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277.Leal A., van Grieken N.C.T., Palsgrove D.N., Phallen J., Medina J.E., Hruban C., Broeckaert M.A.M., Anagnostou V., Adleff V., Bruhm D.C., et al. White Blood Cell and Cell-Free DNA Analyses for Detection of Residual Disease in Gastric Cancer. Nat. Commun. 2020;11:525. doi: 10.1038/s41467-020-14310-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278.Zaanan A., Didelot A., Broudin C., Laliotis G., Spickard E., Dutta P., Saltel-Fulero A., Sullo F.G., Pizzamiglio M., Mariani A., et al. Longitudinal Circulating Tumor DNA Analysis during Treatment of Locally Advanced Resectable Gastric or Gastroesophageal Junction Adenocarcinoma: The PLAGAST Prospective Biomarker Study. Nat. Commun. 2025;16:6815. doi: 10.1038/s41467-025-62056-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Rauth S., Malafa M., Ponnusamy M.P., Batra S.K. Emerging Trends in Gastrointestinal Cancer Targeted Therapies: Harnessing Tumor Microenvironment, Immune Factors, and Metabolomics Insights. Gastroenterology. 2024;167:867–884. doi: 10.1053/j.gastro.2024.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Ma L., Guo H., Zhao Y., Liu Z., Wang C., Bu J., Sun T., Wei J. Liquid Biopsy in Cancer: Current Status, Challenges and Future Prospects. Signal Transduct. Target. Ther. 2024;9:336. doi: 10.1038/s41392-024-02021-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.Upasana, Kanugo A., Bhattacharya S. Innovative Immunotherapy and Its Transformative Impact on Gastric Adenocarcinoma: A Comprehensive Review of the Disease’s Origins, Epidemiology, Classification, Diagnosis, and Treatment Options. ACS Pharmacol. Transl. Sci. 2025;8:1438–1472. doi: 10.1021/acsptsci.4c00677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 282.Myat Y.M., Thein K.Z., Han M.M., Ahluwalia M., Mukherjee S., Aung K.L. Understanding the Promise and Challenges of Tumor-Agnostic Therapy: Could One Size Really Fit All? Cancers. 2026;18:1568. doi: 10.3390/cancers18101568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Liu D., Ma X., Xiao D., Jia Y., Wang Y. Efficacy and Safety of Targeting VEGFR Drugs in Treatment for Advanced or Metastatic Gastric Cancer: A Systemic Review and Meta-Analysis. Oncotarget. 2017;9:8120–8132. doi: 10.18632/oncotarget.23429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 284.Santorsola M., Capuozzo M., Nasti G., Sabbatino F., Di Mauro A., Di Mauro G., Vanni G., Maiolino P., Correra M., Granata V., et al. Exploring the Spectrum of VEGF Inhibitors’ Toxicities from Systemic to Intra-Vitreal Usage in Medical Practice. Cancers. 2024;16:350. doi: 10.3390/cancers16020350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Wu W., Liu Y., Zeng S., Han Y., Shen H. Intratumor Heterogeneity: The Hidden Barrier to Immunotherapy against MSI Tumors from the Perspective of IFN-γ Signaling and Tumor-Infiltrating Lymphocytes. J. Hematol. Oncol. 2021;14:160. doi: 10.1186/s13045-021-01166-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 286.Hou W., Yi C., Zhu H. Predictive Biomarkers of Colon Cancer Immunotherapy: Present and Future. Front. Immunol. 2022;13:1032314. doi: 10.3389/fimmu.2022.1032314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 287.Lin C., Luo T., Wu M., Li F., Nunes L., Mezheyeuski A., Hammarström K., Isaksson A., Ljuslinder I., Uhlén M., et al. Molecular Classification of Microsatellite-Instable Colorectal Cancers Reveals Distinct Predictors of Immunotherapy Response. ESMO Gastrointest. Oncol. 2025;10:100268. doi: 10.1016/j.esmogo.2025.100268. [DOI] [Google Scholar]
  • 288.Wang Q., Yu M., Zhang S. The Characteristics of the Tumor Immune Microenvironment in Colorectal Cancer with Different MSI Status and Current Therapeutic Strategies. Front. Immunol. 2025;15:1440830. doi: 10.3389/fimmu.2024.1440830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289.Žukauskaitė K., Rauduvytė K., Baušys A., Horvath A., Poškus T., Stadlbauer V. Surgery and the Gastrointestinal Microbiome in Cancer: Bidirectional Impacts and Therapeutic Opportunities—A Narrative Review. Surg. Oncol. 2026;66:102411. doi: 10.1016/j.suronc.2026.102411. [DOI] [PubMed] [Google Scholar]
  • 290.Ronellenfitsch U. Surgical Treatment of Gastrointestinal Cancers. Cancers. 2023;15:3743. doi: 10.3390/cancers15143743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 291.Fabbi M., Bali C.D., Lianos G.D., Rausei S. Treatment of Gastric Cancer Means Surgery, but Not Surgery Alone. Cancers. 2024;16:1601. doi: 10.3390/cancers16081601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 292.Sato Y., Okamoto K., Kawano Y., Kasai A., Kawaguchi T., Sagawa T., Sogabe M., Miyamoto H., Takayama T. Novel Biomarkers of Gastric Cancer: Current Research and Future Perspectives. J. Clin. Med. 2023;12:4646. doi: 10.3390/jcm12144646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 293.Saoudi Gonzalez N., Patelli G., Crisafulli G. Clinical Actionability of Genes in Gastrointestinal Tumors. Genes. 2025;16:1130. doi: 10.3390/genes16101130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 294.Mukherji R., Yin C., Hameed R., Alqahtani A.Z., Kulasekaran M., He A.R., Weinberg B.A., Marshall J.L., Hartley M.L., Noel M.S. The Current State of Molecular Profiling in Gastrointestinal Malignancies. Biol. Direct. 2022;17:15. doi: 10.1186/s13062-022-00322-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 295.Han D.M., Wakefield M.R., Fang Y. Beyond Detection: Conventional and Emerging Biomarkers in Gastrointestinal Cancers. Cancers. 2025;17:2725. doi: 10.3390/cancers17172725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 296.Gao J., Cao W., Zhang Y., Zheng D., Zhu H. Global Research Trends in Diagnostic Biomarkers for Colorectal Cancer: A Bibliometric and Visualization Analysis. Ann. Med. Surg. 2026;88:2269–2281. doi: 10.1097/MS9.0000000000004777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 297.Kvien T.K., Betteridge N., Brückmann I., Bodenmüller W., Bryn G., Danese S., Gonçalves J., Maravic Z., Thorne C., Wingate L., et al. Beyond Cost: Observations on Clinical and Patient Benefits of Biosimilars in Real-World Settings. BioDrugs. 2025;39:537–553. doi: 10.1007/s40259-025-00727-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 298.Lee M., Larose H., Gräbeldinger M., Williams J., Baird A.-M., Brown S., Bruns J., Clark R., Cortes J., Curigliano G., et al. The Evolving Value Assessment of Cancer Therapies: Results from a Modified Delphi Study. Health Policy OPEN. 2024;6:100116. doi: 10.1016/j.hpopen.2024.100116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 299.Stewart D.J., Bradford J.-P., Sehdev S., Ramsay T., Navani V., Rawson N.S.B., Jiang D.M., Gotfrit J., Wheatley-Price P., Liu G., et al. New Anticancer Drugs: Reliably Assessing “Value” While Addressing High Prices. Curr. Oncol. 2024;31:2453–2480. doi: 10.3390/curroncol31050184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 300.Cherny N.I., Sullivan R., Dafni U., Kerst J.M., Sobrero A., Zielinski C., Vries E.G.E.d., Piccart M.J. A Standardised, Generic, Validated Approach to Stratify the Magnitude of Clinical Benefit That Can Be Anticipated from Anti-Cancer Therapies: The European Society for Medical Oncology Magnitude of Clinical Benefit Scale (ESMO-MCBS) Ann. Oncol. 2015;26:1547–1573. doi: 10.1093/annonc/mdv249. [DOI] [PubMed] [Google Scholar]
  • 301.Cherny N.I., Oosting S.F., Dafni U., Latino N.J., Galotti M., Zygoura P., Dimopoulou G., Amaral T., Barriuso J., Calles A., et al. ESMO-Magnitude of Clinical Benefit Scale Version 2.0 (ESMO-MCBS v2.0) Ann. Oncol. 2025;36:866–908. doi: 10.1016/j.annonc.2025.04.006. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No new data were generated or analyzed in this study. Data sharing is not applicable to this article.


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