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. Author manuscript; available in PMC: 2026 Feb 20.
Published in final edited form as: Nat Rev Cancer. 2025 Feb 20;25(4):293–315. doi: 10.1038/s41568-024-00788-2

Defining a ‘cells to society’ research framework for appendiceal tumours

Andreana N Holowatyj 1,2,3,, Michael J Overman 4, Konstantinos I Votanopoulos 5, Andrew M Lowy 6, Patrick Wagner 7, Mary K Washington 2,8, Cathy Eng 1,2, Wai Chin Foo 9, Richard M Goldberg 10, Mojgan Hosseini 11, Kamran Idrees 2,12, Douglas B Johnson 1,2, Ardaman Shergill 13, Erin Ward 14, Nicholas C Zachos 2,12, Deborah Shelton 15, on behalf of Appendix Cancer Pseudomyxoma Peritonei (ACPMP) Research Foundation
PMCID: PMC12427072  NIHMSID: NIHMS2096894  PMID: 39979656

Abstract

Tumours of the appendix — a vestigial digestive organ attached to the colon — are rare. Although we estimate that around 3,000 new appendiceal cancer cases are diagnosed annually in the USA, the challenges of accurately diagnosing and identifying this tumour type suggest that this number may underestimate true population incidence. In the current absence of disease-specific screening and diagnostic imaging modalities, or well-established risk factors, the incidental discovery of appendix tumours is often prompted by acute presentations mimicking appendicitis or when the tumour has already spread into the abdominal cavity — wherein the potential misclassification of appendiceal tumours as malignancies of the colon and ovaries also increases. Notwithstanding these diagnostic difficulties, our understanding of appendix carcinogenesis has advanced in recent years. However, there persist considerable challenges to accelerating the pace of research discoveries towards the path to improved treatments and cures for patients with this group of orphan malignancies. The premise of this Expert Recommendation article is to discuss the current state of the field, to delineate unique challenges for the study of appendiceal tumours, and to propose key priority research areas that will deliver a more complete picture of appendix carcinogenesis and metastasis. The Appendix Cancer Pseudomyxoma Peritonei (ACPMP) Research Foundation Scientific Think Tank delivered a consensus of core research priorities for appendiceal tumours that are poised to be ground-breaking and transformative for scientific discovery and innovation. On the basis of these six research areas, here, we define the first ‘cells to society’ research framework for appendix tumours.

Introduction

Appendix cancer is a rare malignant tumour type, with an age-adjusted incidence rate of 0.12 per million person-years1. In the past two decades, the overall incidence of epithelial appendix tumours has increased by 232% across the USA2,3. However, appendectomy rates have remained stable over this same time period, suggesting that the rising incidence of appendix tumours is probably not related to an increase in the diagnosis of incidental, asymptomatic tumours2. However, there are no current, established appendix tumour-specific risk factors, and our understanding of the aetiology that underpins this rising surge in incidence of these tumours, and any disproportionate incidence rates across specific population groups, is largely incomplete.

The lack of standardized screening tests for primary appendiceal tumours poses a major barrier to prompt and accurate diagnoses. It is not always straightforward to identify appendix tumours on imaging, especially when disease presentation is atypical or when an abnormal appendix may not even be visualized. Colonoscopy has low sensitivity for the diagnosis of appendix tumours4. Data from case studies also suggest that the signs and symptoms of appendix tumours are broad and nonspecific5,6 — these are often mistaken for more common conditions. Consequently, up to one in every two patients with appendix tumours will present with distant metastatic disease at diagnosis, most often in the peritoneum7. Overall, approximately 10–63% of patients with metastatic appendix tumours will survive longer than 5 years from cancer diagnosis8. This vast range in survival rate directly reflects the substantial tumour heterogeneity of epithelial tumours arising from the appendix and clinical outcomes that sharply vary across population groups (for example, diagnosis age, sex, and self-identified race and ethnicity)2,9,10. Of note, approximately 20% of all appendix tumour cases are diagnosed as tumours of neuroendocrine origin10; many of these tumours are innocuous and behave differently and, thus, are staged and clinically treated according to neuroendocrine tumour guidelines11,12. For these reasons, they are excluded from further discussion herein.

The premise of this Expert Recommendation is to briefly discuss the current state of the field before delineating the unique or persistent challenges for the study of appendiceal tumours, and to propose key priority research areas that will deliver a more complete picture of appendix carcinogenesis and metastasis. A group of diverse experts, organized by the Appendix Cancer Pseudomyxoma Peritonei (ACPMP) Research Foundation, collectively utilized the nominal group technique13 to gain a consensus of the core research priority areas for appendiceal tumours that are poised to be ground-breaking and transformative for scientific discovery and innovation. On the basis of these six research priorities, the authors engaged in structured, multi-level discussions to comprehensively elaborate on each concept. Here, we provide the first ‘cells to society’ research framework for appendix tumours.

An overview of appendiceal epithelial tumours

To conceptualize our cells to society research framework, we begin with an overview of the pathology and biology of appendix epithelial tumours.

Tumour histopathological subtypes

The pathological classification and staging of appendiceal tumours are challenging, attributable in part to numerous classification systems and the inconsistent terminology used. In the real-world setting of pathological review for appendix tumour cases, there is also a high discordance (~30%) between originating appendix tumour pathology — typically performed in a community hospital setting — and pathology derived at a medical centre that specializes in treating patients with appendix tumours14. Given these robust challenges and vast heterogeneity in appendix tumour histopathology15,16, current practice is encumbered by differences in the subjective interpretation of histopathological findings and inconsistent use of recommended terminology (for example, ‘invasive’, signet ring cells (SRCs)) and uniform pathological schema, among others.

To comprehensively understand appendix tumour histopathology, the histology of the normal appendix must first be fully appreciated (Fig. 1). In the context of malignancy, epithelial tumours of the appendix can be classified as being adenocarcinomas and subtyped as having mucinous, non-mucinous (intestinal-like), goblet cell and/or SRC histology (Table 1). However, morphological classification is complicated by variable terminology and overlapping histological features of some tumours. For instance, both normal and tumour goblet cells are characterized by a large globule of mucus at the top portion of the cell. Tumours showing goblet cell differentiation represent a distinct histopathological subtype as they exhibit both endocrine and exocrine differentiation and are almost unique to the appendix. Although previously called goblet cell carcinoid tumours, and originally considered to be mixed adenoneuroendocrine carcinomas, this nomenclature has since been replaced by the World Health Organization (WHO) Classification of Tumors in favour of the term goblet cell adenocarcinomas17. This shift in tumour classification, combined with variation in histopathological appearance related to tumour grade, lends a layer of complexity to our understanding of the histopathological spectrum of appendix tumours. Within the subtype of goblet cell adenocarcinomas, high-grade goblet cell adenocarcinomas contain tumour cells called SRCs that are highly infiltrative and contain abundant intracytoplasmic mucin that pushes the nucleus to the periphery. SRC adenocarcinomas — previously defined as having more than 50% SRCs (now a 30% threshold) — are an ultra-rare histopathological subtype of tumours with considerably poorer outcomes, especially once metastasized8.

Fig. 1 |. Histology of the normal appendix.

Fig. 1 |

The appendix is a small, blindly ending tubular organ (approximately 6–10 cm in length) in the gastrointestinal tract that is attached to the base of the caecum. The lumen-facing side of the appendix is covered by a glandular epithelium with colonic-type glands that are lined with a simple columnar epithelium and many mucin-producing goblet cells. The lamina propria between the glands contains lymphocytes and scattered eosinophils. The submucosa is separated from the mucosa by the muscularis mucosae and contains lymphoid tissue (primary and secondary lymphoid follicles). The muscularis externa is composed of an inner circular muscle layer and a thin external longitudinal muscle layer. Outside of these muscle layers is a subserosal layer of connective tissue, nerves and vasculature. The outermost element, the peritoneum, is a thin lining of mesothelial cells. Around the appendix is a triangular fold of peritoneum named the mesoappendix (appendiceal mesentery), which often extends from the terminal part of the ileum to the appendiceal tip and encloses the appendicular artery. Appendiceal epithelial neoplasms originate from the epithelial cells of the mucosa; deeply invasive tumours can extend through all layers of the appendiceal wall to involve the serosa (peritoneum).

Table 1 |.

Appendix tumour histologies and molecular features

graphic file with name nihms-2096894-t0001.jpg

A dash indicates that the gene was not reported in the study. Percentages are rounded to the nearest integer value. H&E, hematoxylin and eosin.

a

Based on immunohistochemistry strong positivity or complete loss, for p53.

b

Based on immunohistochemistry strong positivity, for p53.

Mucinous tumours in the appendix are further classified as adenocarcinomas or low-grade and high-grade appendiceal mucinous neoplasms (LAMN and HAMN, respectively). However, it is important to recognize that the spectrum of mucinous epithelial tumour histology for appendix tumours as collected in tumour registries may be presently skewed. Among mucinous tumours, the same International Classification of Diseases for Oncology third edition (ICD-O-3) histology code is used for LAMN, HAMN and mucinous adenocarcinomas. The WHO Classification of Tumors 2019 version classified LAMNs and HAMNs as uncertain behaviour or in situ neoplasms, respectively, and any appendiceal mucinous neoplasms with extra-appendiceal spread were behaviourally defined as a malignant neoplasm for data collection purposes17. This schema was revised in 2021 to classify HAMNs as malignant tumours (although there remains scant literature on this subtype) and LAMNs staged as T3 or T4 as malignant tumours, but the schema retained an in situ behaviour for LAMNs staged as Tis (LAMNs confined to the muscularis propria). Consequently, the completeness of data on LAMNs and HAMNs sharply varies in cancer registries — including in robust population-based cancer registries such as the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program, which has limited the possibility to deepen our understanding of these tumour types18. Overall, persistent coding issues for appendix mucinous tumour histologies preclude our ability to understand the ‘spectrum’ of appendiceal mucinous tumours (LAMN–HAMN–mucinous adenocarcinoma)19 and individual tumour pathophysiology.

It is valuable to highlight that there is also no consistent histopathological grading schema for appendiceal tumours to date2026 — the American Joint Committee on Cancer (AJCC)15, WHO17 and Peritoneal Surface Oncology Group International (PSOGI)27 classification schemes all vary in definitions of cellular differentiation. Overall, current grading schemes are dominated by a peritoneal disease perspective — as the extent and type of peritoneal involvement are a strong indicator of clinical outcome — and, therefore, they work ‘backwards’ to the primary tumour (Table 2). Although this yields strong relevance to clinical management, a stark limitation of this approach is that it groups histologically and biologically distinct primary appendix tumours together into a single schema.

Table 2 |.

Grading criteria for PMP, inclusive of appendiceal origin

Peritoneal mucinous tumour grade World Health Organization195 American Joint Committee on Cancer15
PMP, grade 1 Hypocellular mucinous deposits
Neoplastic epithelial elements composed of strips of low-grade mucinous epithelium
Low cellularity (typically <20%)
Tall columnar neoplastic cells with low-grade cytological atypia
No SRCs
No infiltrative-type invasion
No LVI
No PNI
PMP, grade 2 Hypercellular mucinous deposits as judged at ×20 magnification
High-grade cytological features involving >10% of the tumour
Infiltrative-type invasion characterized by angulated glands in a desmoplastic stroma, complex glandular growth, or a pattern of numerous mucin pools containing clusters of tumour cells
High cellularity (typically >20%)
High-grade cytological atypia in ≥10% of the tumour
Infiltrative-type invasion may be present
LVI may be present
PNI may be present
No SRCs
PMP, grade 3 Mucinous tumour deposits with SRCs or sheets of tumour cells High cellularity (typically >20%)
SRCs comprising ≥10% of tumour
Infiltrative-type invasion may be present
LVI may be present
PNI may be present

LVI, lymphovascular invasion (defined as the involvement of small lymphatic or blood vessels by the tumour); PMP, pseudomyxoma peritonei; PNI, perineural invasion (the process of neoplastic invasion of nerves); SRC, signet ring cell.

Another important consideration in the clinical management of appendiceal tumours is tumour staging, as this informs disease prognosis. Recently released by the AJCC Expert Panel on Cancers for the Lower Gastrointestinal Appendix Disease Site Working Group, results from survival analyses using the AJCC eighth edition staging criteria — which were utilized to inform stage revisions in the version 9 AJCC system for appendiceal tumours — critically revealed a lack of hierarchical prognostication in these rare tumours. This prognostic variance was most significantly observed for stage II–III non-mucinous appendiceal tumours, but also for stage III mucinous adenocarcinomas of the appendix8. This illustrates another substantial challenge in tumours of appendiceal origin, as to the appropriateness of applying the same stage groupings across appendix tumour histological types. Consequently, the clinical outcomes of appendix tumours vary greatly with tumour subtype and grade; whereas mucinous appendiceal tumours, goblet cell adenocarcinomas and SRCs all spread to the peritoneal lining of the abdomen, low-grade tumours (LAMNs) tend to have longer survival times than high-grade tumours such as SRCs.

The biology of appendiceal carcinomas

Evidence has accumulated in support of the molecular characteristics of appendix tumours being different from that of tumours of the colon2833. This has led to the general consensus that tumours originating in the appendix are a biologically distinct malignancy from colorectal cancer (CRC). However, the mechanisms involved in primary appendix carcinogenesis and metastasis remain largely unresolved.

Intrinsic features of appendix tumour cells.

Beyond the unique, emerging appendix tumour biology3443, there is marked heterogeneity in the genomic landscape across tumour histological subtypes (Table 1) and by age groups. Genetic variants in KRAS, GNAS (encoding Gαs) and adenomatosis polyposis coli (APC) are less frequent in goblet cell adenocarcinomas whereas alteration rates for CDH1 (encoding E-cadherin) and fibroblast growth factor receptor 2 (FGFR2) are higher for goblet cell adenocarcinomas than for other appendix tumour subtypes41. Evidence from somatic variant panel testing in a recent single-institution study shed initial light on the potential for establishing molecular classifications of appendix tumours. Molecular subtypes of mucinous appendiceal adenocarcinomas were largely defined by RAS, GNAS and TP53 variant patterns42. When stratified by age, individuals with early-onset appendix tumours harboured higher odds of presenting with non-silent somatic variants in PI3K catalytic subunit-α isoform (PIK3CA), SMAD3 and tuberous sclerosis 2 (TSC2) and lower odds of presenting with GNAS variants than individuals age 50 years and over43. GNAS and TP53 variants were also found to be mutually exclusive in appendiceal tumours, irrespective of age groups30,43. Overall, notwithstanding the key challenges that remain as to the primary versus metastatic origin of tissue used for profiling in these studies and consideration of key pathological factors (for example, tumour grade) in the determination of consensus subtypes, these robust efforts strongly emphasize the importance of somatic tumour profiling for all primary and metastatic tumours of the appendix.

It has been historically believed that appendix tumours are not hereditary. Published studies screening appendix tumours for microsatellite instability (MSI) have suggested a low MSI prevalence (<4%)44. Given the disproportionate burden of early-onset cases in this rare tumour type10 — a hallmark of inherited cancer predisposition, recent studies have begun to explore the potential of a genetic link to appendiceal tumours. Indeed, the seminal study in this field to date has evaluated clinical multi-gene panel testing results for 14 known cancer-susceptibility genes from patients with appendix tumours across the USA and discovered that one in every 10 individuals carried at least one deleterious germline variant in a cancer-susceptibility gene45. A later single-centre study has confirmed these germline prevalence estimates in appendix tumour cases and also went on to perform somatic variant panel-based profiling of 505 genes with nearly no identification of second-hit somatic variants46. Currently, a comprehensive, genome-wide study of the germline and somatic variant spectra in appendix tumours has not yet been completed.

Mucin has a key role both in normal tissue histology and in cancer47, including in the appendix. Primarily expressed by epithelial cells on apical surfaces, secreted mucins form a physical barrier that protects epithelia from adverse conditions and limits exposure to commensal bacteria. However, the regulation of mucin production is not well-understood in the context of the normal appendix and appendiceal tumours. Protein expression patterns for several mucins have been examined in a single study of 108 primary appendix tumours using immunohistochemical staining, wherein it was observed that positive mucin 3 (MUC3) membrane expression may be a negative prognostic marker48. Positive supranuclear MUC2 and cytoplasmic MUC5AC expression have been shown to be enriched in mucinous appendiceal tumours49. In the metastatic setting, MUC2-expressing goblet cells have also been shown to contribute to the accumulation of extracellular mucin deposits.

Although understanding gene function and changes in transcriptional activity are undoubtedly key to unlocking the mechanisms of appendix carcinogenesis, existing databases, including The Cancer Genome Atlas (TCGA)50,51, do not presently include RNA expression data for primary or metastatic appendix tumours. To our knowledge, no studies to date have characterized the global transcriptome of primary tumours of the appendix. In the metastatic setting, microarray-based profiling of peritoneal tissues from low-grade tumours of appendiceal origin defined a 139-gene cassette that distinguished two clear molecular subtypes of tumours, predictive of clinical outcomes52. More recently, a study of metastatic peritoneal tissues specifically from LAMN and HAMN cases undertook panel-based gene expression profiling and discerned three subtypes: immune-enriched, oncogene-enriched and mixed, which also correlated with prognostic outcomes53. These data illuminate the potential value of studying the appendix tumour transcriptome, which to date has not been fully capitalized on.

Appendix tumour extrinsic features: the tumour microenvironment.

The appendix is fundamentally an immunological organ, distinguished from the remaining hindgut by its fully developed germinal centres and active immune surveillance of luminal contents54. This richness of lymphoid tissue also suggests that its immunological function may be influenced by various metabolic processes and individual metabolites55. Although vastly understudied56, the metabolic and immune characteristics of the appendiceal microenvironment tend to hold important insights into the distinct pathways of carcinogenesis across subtypes of appendiceal tumours.

The appendix also contains a varied and robust microbiota that is distinct from the microbiotas present in other niches57. The microbial composition of the appendix may have a role in modulating bowel inflammation, appendicitis and appendiceal tumours57,58. Although no studies to date have examined the appendiceal microbiome in the context of the primary tumour, there is limited evidence of microbial dysbiosis in the setting of acute appendicitis5961. Small-scale studies of children and adolescents with acute appendicitis have observed microbial diversity and interindividual variability — reporting Firmicutes as a dominant phylum and the presence of oral pathogens Gemella, Parvimonas and Fusobacterium. A shift in appendix microbial communities was also reported between cases of uncomplicated appendicitis and those of complicated appendicitis62. This preliminary evidence raises intriguing questions as to the potential role of the appendix microbiome in overall human health and in carcinogenesis and metastasis.

Beyond the metabolome and microbiome, appendiceal tumour cells are surrounded by stromal, immune and lymphovascular cells, along with the extracellular matrix and associated soluble signalling factors. Together, this defines a dynamic and complex tumour-supportive milieu in the primary and metastatic appendix tumour setting6365 (Fig. 2). Although our knowledge of the primary appendix tumour microenvironment (TME) remains incomplete, a recent study of the peritoneal TME using orthotopic and flank-implanted patient-derived xenograft (PDX) models suggests that this cellular ecosystem may promote metastatic appendix adenocarcinoma growth via the upregulation of genes associated with proliferation (for example, MKI67 and EXO1) and the downregulation of components of the Hippo signalling pathway66. This work follows a prior study of cytokine profiles in ascites or samples of peritoneal washings from cases of peritoneal mucinous neoplasms of appendiceal origin, which revealed peritoneal-specific synthesis of cytokines given the distinct cytokine patterns observed in the peritoneal microenvironment that differed from those found during infection or injury-related inflammation67. Understanding the evolution of this cellular interplay in appendix tumours — in the context of histological subtype and patient-level characteristics — is paramount to developing therapeutic interventions in this rare disease space68.

Fig. 2 |. The primary and metastatic appendix tumour ecosystems.

Fig. 2 |

The primary appendiceal tumour microenvironment (TME) consists of tumour cells, connective tissue (mesenchymal cells, vascular and lymphatic tissue, extracellular matrix), infiltrating immune cells and a microbiome. Although research into this area of appendix tumours is limited and evolving, it is presumed that the TME progresses along a spectrum from normal tissue to overt carcinoma, with commensurate changes in the cellular, matriceal and microbial elements along this spectrum varying by tumour histological subtype (bottom). The peritoneal TME comprises the peritoneal tissue — including the mesothelial lining and underlying connective tissues — and peritoneal fluid (top). Peritoneal fluid in the context of carcinomatosis has a characteristic cytokine and chemokine profile that differs markedly from peripheral blood and physiological peritoneal fluid, as well as distinct populations of lymphoid and myeloid cellular constituents, making it an attractive venue for immune or other targeted therapies63,104. The peritoneal tissue microenvironment comprises the surface layer of mesothelial cells and the submesothelial mesenchymal tissues, extracellular matrix, immune infiltrate, microbiome (not shown) and lymphovascular structures64,65. Emerging data imply important differences in stromal and immune cellular infiltrates in peritoneal versus primary appendiceal tumour lesions, emphasizing the need to consider these microenvironments separately when developing therapeutic strategies for patients with appendix tumours and carcinomatosis118. DC, dendritic cell.

Research priority areas

Notwithstanding the remarkable strides in research over the past several decades, the rarity of appendix tumours presents a myriad of persistent challenges, including inaccuracies in accurately capturing disease incidence and prevalence, difficulties with the ascertainment of representative tumour tissues, limited funding opportunities, insufficiency of models and techniques to study appendix pathogenesis and metastasis, and poorly understood heterogeneity across tumour histologies. To propel novel scientific discoveries and to substantially drive the field towards ultimately reducing this disease burden, we reached consensus on six core research priorities for appendix tumours — spanning cells to society — that are comprehensively outlined below (Fig. 3).

Fig. 3 |. A ‘cells to society’ research framework for appendix tumours.

Fig. 3 |

Six core areas of the appendix tumour research framework include refining tumour histology and histopathological classifications, characterizing the molecular landscape of appendix tumours and targets, defining the appendiceal primary and metastatic tumour microenvironment, developing disease-specific models and a model repository, conducting prospective investigations and trials, and understanding appendix tumours at a population level.

Refining histopathological classification

A crucial aspect of understanding and treating appendiceal tumours is an accurate classification of disease. As the gold standard for classification, histopathology is integral across the entire appendix cancer care continuum.

Continuum of tumour histopathological features.

Appendix tumours are not a single entity, and understanding the pathobiology of specific appendix tumour types has been hampered by variability in terminology to describe entities such as LAMNs and HAMNs, goblet cell adenocarcinomas, and non-mucinous appendix tumours. Given the rarity of these tumours, it is not surprising that pathologists in a general practice setting are often unfamiliar with current appendix tumour terminology, and a review by an expert gastrointestinal pathologist may be needed for accurate classification, grading and staging. Standardized approaches for macroscopic examination and sampling, consistent application of tumour classification and grading, and assessment of tumour cellularity are needed to move forward in refining histopathology for this rare malignancy.

A further complicating factor is tumour heterogeneity within appendiceal tumours. For instance, goblet cell adenocarcinoma may contain a high-grade SRC component, which dominates the clinical outcome even if it constitutes only a minor percentage of tumour cells69,70 — highlighting the essential role of thorough tumour sampling. Although grading systems for various appendix tumours are used in clinical practice17, they are based on retrospective studies of relatively small case numbers. The optimal thresholds for classifying and grading specific appendix tumours remain unclear. For instance, in appendiceal SRC carcinoma, is there a continuum of cells detected in a primary tumour that may be optimally represented as a continuous variable rather than a threshold, and could this continuum better correlate with disease staging and outcomes?

Digitizing histology for appendix tumour detection.

Conventional brightfield microscopy remains critical in modern health care despite the inherent limitations to this practice that are largely dictated by the glass slide. For instance, the need to physically transport glass slides can limit patient access from geographically remote or resource-restricted areas to subspecialty pathologists. Consequently, digital pathology has evolved in the past decade from a potential clinical tool to a regulatory-approved means of providing diagnostic pathology services owing to advances in whole slide imaging (WSI)71. This digital conversion mitigates the physical nature of the glass slide and carries numerous benefits (for example, efficiency, ease of sharing, and accessibility). Moreover, WSI enables computational pathology, a relatively new discipline that promises automation and artificial intelligence that may potentially obviate interpretative variability. By and large, digital pathology will expand access for both patients and pathologists.

The difficulties in staffing remote laboratories or those located in resource-limited areas are well-recognized and are exacerbated by shortages of pathologists. It is further compounded by rare or uncommon diagnoses that would probably benefit from having subspecialists72,73. The traditional approach to providing services could involve occasional on-site pathologists, typically generalists, or the transport of glass slides to a primary laboratory or consulting site. One of the most compelling use-cases for digital pathology in appendix tumours is the expansion and standardization of service to patients in these areas. These remote services include primary diagnoses, intra-operative consultations, and patient-initiated, provider-initiated or pathologist-initiated second-opinion consultations. Subspecialty expertise, either as a primary service or a consultation, can also be extended to these areas, which may otherwise not have sufficient volumes for subspecialized practice72,7477. Therefore, utilizing digital pathology for the provision of primary services or consultations allows both patients and pathologists to quickly access specialized knowledge that may not be available locally — particularly for rare diseases such as appendix tumours. In the future, the benefits of digital pathology may probably extend beyond a hematoxylin and eosin (H&E) diagnosis.

Computational approaches to refine diagnosis and classification.

Although digital pathology can extend the reach of subspecialty pathology practices to patients in underserved populations, the constraints of human evaluation persist. Computational pathology offers the potential to obviate subjective variability through computer vision — a subset of artificial intelligence that utilizes convolutional neural networks to analyse images78. Applications of computer vision in pathology include automated detection, classification and grade determination, as well as the prediction of tumour mutational subtypes and expression signatures7984. Although no published applications of computational pathology to appendiceal tumours exist to date, it has been effectively used to identify MSI with H&E slides85 and to predict consensus molecular subtypes in CRC86, the latter of which currently relies on gene expression profiling for classification. In appendix tumours and pseudomyxoma peritonei (PMP; also known as mucinous carcinoma peritonei), computer vision harbours potential to support current classification and grading criteria through a similar evaluation of human-interpretable features (for example, neoplastic tissue architecture, cellular, nuclear and stromal morphologies, and shape and size of mucin pools). At this time, complex applications of computer vision on appendiceal tumours (for example, prognosis prediction and molecular prediction) are non-existent and would potentially be limited by disease rarity. However, simpler applications of computer vision might still be possible. For example, an algorithm for determining tumour cellularity (that is, identification of neoplastic epithelial elements in tissue or mucin) could be trained on appendix tumour and CRC data (as well as other cancer types) but validated on appendix tumour cases. It could have some benefit as it would impact peritoneal mucinous tumour grade (Table 2). Because human-interpretable feature-based models mirror how a pathologist approaches a histological evaluation under a microscope or on a computer screen (as these applications can be automated and deployed locally or remotely), computer vision also offers opportunities for them to validate findings and intervene when necessary. As such, it too has the potential to scale and to integrate into clinical workflows in resource-restricted areas where pathologists and/or expertise is limited to support accurate appendix tumour diagnosis and classification. Notably, computational pathology applications in this rare tumour type may also deliver cost-effective molecular predictions or novel classifications to heighten clinical accuracy and to support the delivery of tumour-specific therapeutic modalities for patients with appendix tumours.

Molecular characterization of appendix tumours

Comprehensive molecular profiling of primary and metastatic appendiceal tumours is essential to delivering a complete picture of appendix tumour pathophysiology and for downstream mechanistic and preclinical studies and therapeutic target discovery. Understanding normal appendix epithelium may also reveal why certain tumour histologies (for example, LAMNs and goblet cell adenocarcinomas) are virtually unique to the appendix.

Integration and standardization of molecular profiling into patient care.

Molecular characterization of primary, and metastatic, tumour tissues is a complementary approach to histopathology for the accurate classification of appendiceal tumours20,21. However, the incidental discovery of primary appendix tumour cells most often occurs post-appendectomy, wherein the entire appendix has been removed ‘before’ disease diagnosis and often in the community hospital setting. For this reason, as well as owing to the very limited appendix tissue available and its priority for pathological evaluation, fresh tissues largely cannot be collected for the primary tumour.

In the research space, these practical tissue limitations point to a timely consideration of the utility of spatial and single-cell genomic and/or transcriptomic approaches in primary appendix tumours. Although costly, these relatively newer approaches are able to preserve local tumour architecture, dissect cellular heterogeneity that cannot be determined with bulk sequencing, comprehensively characterize the TME, explore intratumoural and histopathological heterogeneity, and overcome challenges with low DNA input, some of which are already compatible with formalin-fixed, paraffin-embedded tumour tissues. In the clinical setting, however, optimization and partnership with clinical testing laboratories will be a requisite to standardizing sample selection, delivering scalable profiling strategies, and considering distinct strategies specific to histological features of each appendix tumour that can be widely implemented.

Particularly for mucinous tumours of the appendix, another key challenge in delivering a comprehensive molecular characterization is limited tumour cellularity15. Low-cellularity tumours are defined as those with neoplastic epithelium present within mucin, which accounts for typically less than 20% of the mucinous component24. Because DNA yield is proportionate to cellularity87, low cellularity often leads to sequencing ‘failures’ and a gap in the molecular profile for this histological subtype. However, an attractive opportunity for clinical-grade RNA sequencing arises, given that this approach can overcome tumour cellularity-based limitations and deliver a wealth of data for biological interrogation88. Together, these efforts will yield high-quality molecular data in appendiceal tumours — to support new opportunities for targeted drug development and for the standardization of appendix tumour molecular profiling as an integral component to oncology care.

Beyond profiling of the primary tumour, there is also substantive clinical value to the parallel characterization of metastatic appendix tumour tissues. For cases with distant disease spread, these paired tissues offer a robust opportunity to elucidate key drivers of appendiceal metastasis on a biological level and to identify novel druggable targets for potential therapeutic development. However, meaningful consideration in this approach is warranted — given the potential clonal heterogeneity and tumour evolution by anatomical location within the peritoneal cavity, as discussed later.

From the lens of genetics, initial data reporting a relatively high prevalence (10%) and spectrum of germline genetic variants among patients with appendix tumours support that genetic evaluation may be warranted for this patient population45. An advantage to genetic testing is that it can deliver potentially life-saving cancer prevention and surveillance strategies — considering both a potential risk of a second primary cancer for patients — and the benefits of cascade testing for family members at risk of hereditary cancer syndromes. It also yields additional, valuable data for a deeper understanding of whether genetics has a role in appendix carcinogenesis. Moreover, to optimize this testing strategy in the clinical setting via appropriate gene selection specific to this patient population, comprehensive genome-wide discovery and functional validation of novel appendix cancer-susceptibility variants is warranted as a next step. Such efforts would be well-positioned to yield paradigm-shifting evidence in our understanding of a potential causal role of genetic variants in an unbiased manner and novel mechanistic insights into appendix carcinogenesis.

Understanding the normal appendix epithelium.

A complete understanding of appendix tumour pathophysiology relies on the exhaustive characterization of the normal appendix epithelium. However, a unique complexity associated with normal-to-tumour comparisons in the appendix is the absence of any residual normal epithelial cells in many cases, owing to complete obliteration of normal mucosa by the appendix tumour. Although histologically similar to normal colonic mucosa, the normal appendiceal mucosa is largely uncharacterized on a molecular level, and the reason that certain tumour types (for example, LAMN and goblet cell adenocarcinoma) are virtually unique to the appendix remains an enigma. This lack of insight highlights a timely need for the establishment of a molecular atlas of normal appendix epithelium and will be a key requisite to not only define tumour initiation and progression but to also facilitate the development of new drugs for appendix tumour treatment.

Establishing a composite multi-omics view of appendiceal tumours.

While embarking on comprehensive molecular profiling of primary and metastatic appendiceal tumours, our ability to computationally overlay data from individual molecular landscapes (for example, the genome, transcriptome, proteome and epigenome)89 and understand the complex interplay of molecules is poised to fast-forward making novel predictions about appendiceal carcinogenesis for further mechanistic and preclinical studies, for novel target discovery, and for precision-based medicine approaches. To establish such a composite multi-omics landscape, there is a need to overcome the substantial costs for multi-omics assays and a need for computing power, data integration approaches, the emergence of novel omics technologies, and high-quality paired clinical and demographic characteristics, as well as for large sample sizes to inform measurable results. Nevertheless, the benefits outweigh the costs in the rare disease setting, wherein such data remain sparse.

As the composite of every human environmental exposure from conception to death, the biological response to these exposures — the exposome — is an emerging omics in the field of oncology90. Thus, it is not surprising that advancements in our understanding of exposure biology in the context of appendix carcinogenesis is also an intriguing area of interest to explore moving forward. Given that environmental exposures leave many types of ‘fingerprints’ on human cells91, these exposome efforts may support defining how the environment could contribute to appendix tumour development for the first time.

Addressing appendix tumour disparities.

Cancer health disparities are a constellation of biology, genetics, behaviour and social determinants of health92. However, the interplay of biological and social factors that actively contribute to appendix tumour disparities are unknown; studies have yet to explore the biological features and/or molecular mechanisms contributing to inequities across population groups9 (for example, genetic ancestry and sex) with appendix tumours. A major and additional benefit to defining comprehensive molecular profiles in appendiceal tumours is our ability to perform global ancestry estimation93 using these data and to evaluate molecular (and clinical) signatures across genetic ancestral groups. Ensuring that future composite, multi-level views of appendix tumour biology are diverse and representative of all patients diagnosed with this tumour type is a challenging, yet vital, task ahead.

The assessment of tumour molecular profiles is an important component to precision oncology and clinical care, including for appendiceal tumours. Despite the exponential growth of clinical tumour sequencing, there remains a tumour-agnostic gap in equitable access to high-quality cancer care and to this technology among historically marginalized groups94,95. Therefore, as we emphasize the need to standardize molecular profiling into clinical care for patients with appendiceal tumours, it is underscored with the parallel need to ensure the timely and continued expansion of equitable access to these clinical assays and to support effective communication that addresses any medical mistrust. These efforts are aimed to mitigate, and not exacerbate, the disparities in outcomes across diverse populations.

Defining the appendiceal TME

Disentangling the primary appendix tumour ecosystem.

Surprisingly, there are minimal clinical data demonstrating the activity of immune checkpoint inhibitors in appendix tumours to date, relative to more common tumour types such as CRC and ovarian cancer. However, a recent phase II clinical trial has shown promising early results with a combination of atezolizumab (a programmed cell death 1 ligand 1 (PDL1) monoclonal antibody) and bevacizumab (a vascular endothelial growth factor receptor (VEGF) antibody) with a high rate of disease stability among patients with unresectable appendiceal adenocarcinomas96 — supporting further clinical trials of this and other immune checkpoint inhibitor combinations, as discussed later. Furthermore, the early signs of activity with this combination suggest that immune profiling in appendiceal tumours could yield actionable targets for rational combinatorial approaches.

The formation and evolution of the appendiceal TME raise an important question as to how to sample and include a representative set of tumour tissues for immune phenotyping. With the development of numerous computational methods to infer the abundance of multiple cell types in the TME from bulk RNA-sequencing data, we suggest that a reasonable approach in appendix tumours is to leverage these deconvolution pipelines97 and apply them to clinical-grade RNA-sequencing data from appendiceal tumours. The use of spatial and/or single-cell transcriptomic technologies on archival tumour tissues will also deliver an in-depth characterization of the total and specific compositions of immune cell types in the TME. In parallel, proteomics can shed light on the extracellular matrix microenvironment98, and microbiomics can yield clues into potential bacterial modulators of immune response99. The accurate annotation of tumour features, centralized expert pathology review, consistency in biospecimen collection and processing, high-quality multi-omics assays, robust patient-level data, and appropriate selection and refinement of computational techniques will also be critical factors to elucidating ‘hot’, ‘altered’ and ‘cold’ immune tumours100 of the appendix across histological subtypes and to deliver on this strategy.

Understanding mechanisms of metastasis.

Profiling a single patient’s spectra of appendiceal tumours is integral to classify modulators of the TME and how this evolution may inform metastatic disease spread. In the study of appendiceal metastasis, a unique question remains to be answered: why is it that most primary tumours do not have a propensity to spread via the lymphatic system or hematogenously? The rupture of an appendix obstructed by tumour leads to the spread of tumour cells to the surfaces of organs in the abdominal cavity, wherein the peritoneum is a vascular ‘desert’. Among females, tumour cells may also spread to the ovaries101. Over time, peritoneal disease develops variable levels of fibrosis that renders resection impossible and may resemble or result from epithelial-to-mesenchymal transition in appendiceal tumours102. Therefore, in the study of appendix metastasis — particularly through the peritoneal cavity (‘peritoneal carcinomatosis’) — a key priority emerges in identifying shared biological mechanisms across disease sites with histological similarities. For example, what biological processes also drive peritoneal spread in select gastric, pancreatic and colon tumours? Another priority area is in understanding how a subset of appendix tumours metastasize to the small bowel, as small bowel involvement in peritoneal carcinomatosis remains a significant prognostic indicator103. We call on the development of a peritoneal molecular atlas of appendiceal origin to address these (and other valuable) questions that aim to disentangle the complex biological processes driving appendiceal tumour metastasis.

The influence of the peritoneal microenvironment.

A key aspect to our peritoneal atlas for appendiceal tumours is comprehensive characterization of the peritoneal microenvironment — inclusive of the peritoneal lining (mesothelial cells and underlying mesenchymal and visceral structures), peritoneal fluid and free-floating cells within the peritoneal fluid. This is because physiological peritoneal fluid harbours a cytokine signature that is distinct from plasma and transforms in the setting of carcinomatosis or malignant ascites into an overwhelmingly maladaptive, tumour-promoting cytokine milieu104. Biological interrogation of this peritoneal fluid together with multiple peritoneal metastatic tissues from an individual patient is considered the optimal approach to dramatically augment our understanding of tumour evolution and disease progression across appendix tumour histologies.

The mesothelial lining105 and connected adipose, skeletal muscle, and other tissue types also tend to be important contributors to appendix tumour progression. Adipose tissue–tumour crosstalk in other gastrointestinal malignancies106 — including in primary CRC107 and metastatic gastric cancers108,109 — suggests that adipocytes could similarly contribute to appendix tumour progression and peritoneal dissemination. Thus, the molecular interrogation of adipose and other underlying tissues in proximity to metastatic lesions (but also primary appendix tumours) will be a vital step in understanding the peritoneal microenvironment in appendix tumours and selecting rational therapies.

Building appendiceal tumour biobanks.

To support the integration of molecular profiling into clinical care, to discover new mechanisms involved in appendix tumorigenesis and metastasis, and to define the appendiceal TME, a robust collection of high-quality, diverse and representative biological samples with accompanying clinical elements stands as an integral research resource for forward progress in this field110. A large biorepository of pathologically annotated specimens — inclusive of tumour and normal appendiceal tissues alike — is acknowledged as a considerable financial and physical space investment, but it can also become a turning point in optimizing specimen collections, processing and validation and in extraction for tissues and peritoneal fluid. Appendix-specific biobanks, including ‘living cell biobanks’, may also deliver unprecedented opportunities for experimental and translational research studies in the current era of personalized or precision medicine.

Development of disease-specific models

Appendiceal tumour models — in vitro, in vivo and computational — are integral tools to comprehensively interrogate tumour biology and to enable preclinical evaluation of therapeutics111114. This is of heightened importance in the rare cancer setting, wherein the number of patients for clinical trial enrolment is rate-limiting. Currently, the number of appendix tumour models is extremely limited for several reasons, the most obvious being that these are uncommon tumours with no murine tissue counterpart, thus precluding the possibility of genetically engineered model systems. Other practical barriers include the following: the research community that is focused on appendix tumours is relatively small and the resources to support model development have been scarce; both mucinous and non-mucinous appendiceal tumours, particularly LAMNs, have not been successfully established in 2D culture, and in 3D culture, they rarely survive beyond a few passages; and primary appendix tumours are generally diagnosed incidentally, therefore negating the opportunity for tissue collection. Fortunately, in the past few years, the evolution of patient-derived organoids (PDOs) and PDXs in other distinct tumour types has provided a methodological framework for multiple groups to develop appendix tumour models. Several PDX models established from metastatic mucinous appendiceal tumours have been reported as detailed later in this section (Table 3). Below, we discuss the current state of appendix tumour model development along the continuum from in vitro to in vivo.

Table 3 |.

Inventory of existing patient-derived xenograft models of appendix tumours

Line or model designation Appendix carcinoma histological subtype Origin Patient age and sexa Histology described within the animal Ref.
PMP1 Mucinous Peritoneal metastasis 83 years old F PMCA-1 128
PMP2 56 years old F PMCA-1
DPAM1 Mucinous Peritoneal metastasis 66 years old F DPAM 121
DPAM2 72 years old M DPAM
DPAM3 56 years old M DPAM
PMCA-3 Mucinous Peritoneal metastasis 62 years old M PMCA-signet ring cell 127
PMCA1 Mucinous Peritoneal metastasis Not provided PMCA 122
PMCA2 PMCA
PMCA3 PMCA
PMCA4 PMCA
PMCA5 PMCA
PMCA6 PMCA
PMCA7 PMCA
DPAM1 DPAM
PMP1 Mucinous Peritoneal metastasis Not provided DPAM 126
PMP2 DPAM
PMP3 PMCA-signet ring cell
PMP4 DPAM
PMP5 DPAM
PMP6 DPAM
TM00351 Mucinous Peritoneal metastasis 49 years old F MAC 125
PMP-754 Mucinous Peritoneal metastasis 58 years old F PMCA 124
HG-PMP Mucinous Peritoneal metastasis Not provided PMCA-signet ring cell 123

DPAM, disseminated peritoneal adenomucinosis; F, female; HG, high-grade; M, male; MAC, mucinous adenocarcinoma; PMCA, peritoneal mucinous carcinomatosis; PMP, pseudomyxoma peritonei.

a

Self-identified race and ethnicity was not provided for any lines or models.

In vitro model development.

Typically, the culturing of appendix tumour cell lines in 2D is a starting point for model development. However, to date, no such models have been successfully established. This has also been a striking hurdle in other solid malignancies, as even aggressive malignancies such as pancreatic cancer can be difficult to culture in 2D. For appendix tumours, the barriers to 2D cell line development are probably multifactorial and may include the presence of mucin and an incomplete understanding of the biological requirements for particular growth factors. Another key practical issue is that the sheer magnitude of the effort being applied in this space has been small, as many times, continued trial and error are required to overcome these barriers. Although the ease of manipulation of traditional 2D models provides substantial advantages for mechanistic studies, 2D cell lines also have well-documented limitations. They represent a highly selected tumour cell population which may poorly represent features of the primary disease due to clonal selection115. Three-dimensional PDOs can overcome some of these 2D model pitfalls, given their ability to capture intratumoural heterogeneity and recapitulate complete or partial features of parental tumour physiology116,117. Because organoid growth and maintenance are heavily influenced by the media formulation, there is also a need for the development of specific media formulations for future appendix tumour models. Although formulations may differ based on tumour histological subtypes, the standardization of these formulations is essential to support an accurate comparison of results across investigators and institutions. This also aligns with our recommendation to prioritize the sharing of protocols, including those for viable tissue collections, as well as the development of appendix tumour-specific models, to deliver rigorous and reproducible research.

The collection of fresh tissues from primary appendiceal tumours is often impossible — as discussed in earlier sections — creating paramount challenges in the establishment of patient-derived models from all types of primary appendix tumours. Therefore, every effort should be made for elective surgery cases (wherein both primary and metastatic appendix tumour deposits are present) to be prospectively captured and used for tissue modelling. It will be vital to develop innovative and creative approaches for models that can recapitulate the phenotype of the primary tumour and be durably passaged to understand the principles of carcinogenesis within the appendix organ. Nevertheless, in the setting of appendiceal metastases, the recent development of patient-derived organotypic slice culture models of metastatic tissues from appendiceal adenocarcinomas harbour the advantage of preserving the tumour microenvironment via the creation of a 3D ‘tissue slice’ from patient samples, and recent data suggest that drug responses in these models may mirror clinical activity in patients118,119. This novel approach can support preclinical evaluation of candidate therapeutics, yet as this new ex vivo slice model can only be maintained for a duration of 7–10 days, it also highlights the difficulty in establishing and durably passaging patient-derived models that must be addressed moving forward.

When considering other models that can recapitulate the appendiceal TME, the co-culture of appendix tumour cells with adipocytes, fibroblasts and/or immune cells will be an important line of investigation to comprehensively characterize tumour and stromal and/or immune cell crosstalk. The development of novel methodologies to co-culture multiple cell types (that is, epithelial, immune and stromal) and the generation of biomedically engineered platforms (that is, organ-on-a-chip)120 will be important areas to be explored in appendiceal tumours. These co-culture models are particularly relevant given the unique TME within each appendix tumour subtype. For example, if we can understand how tumour–immune–stromal cell interactions impact responses to immunotherapy, we can develop rationale strategies to improve outcomes by modulating these interactions via targeted therapies. The establishment of a living biobank of tumour organoids established with standardized protocols is an important priority to drive such investigations because it would also provide the unique opportunity to screen both existing and novel drugs and therapeutic combinations that may be relevant for specific patient subgroups and ultimately moved into clinical trials.

Preclinical animal models for therapeutic advances.

A corner-stone of the drug development process is preclinical testing using in vivo model systems. The spectrum of models typically includes cell line-derived xenografts (which are typically in immunodeficient mice), PDXs and genetically engineered mouse models (GEMMs). As mentioned above, the development of GEMMs for appendix tumours is not possible given the absence of an appendix in mice. Although it may be feasible to genetically engineer ‘appendiceal-like’ tumour development in the mouse colon based on the genetics of appendix tumour subtypes (for example, KRAS and GNAS mutations), this has not yet been achieved. If successful, the extent to which this will mimic human biology is unclear. Nevertheless, such efforts are important for the field as developing syngeneic models will allow for the study of immunomodulatory approaches that are not possible using PDX models established in immunodeficient mice. Although rabbits have a distinct appendix, the higher maintenance costs, breeding challenges, lower transgenic efficiency and production of knockout rabbits (owing to the lack of embryonic stem cells for gene targeting in rabbits) present practical limitations for their application and use in preclinical research into appendix tumours.

Thus far, the development of preclinical animal models of appendix tumours has been limited primarily to PDXs (Table 3). Several groups have examined a range of therapeutic approaches from chemotherapy to small molecules in such models121123. However, it is of great importance that models are shared, extensively characterized for their preclinical growth kinetics, benchmarked for response to conventional chemotherapy, and genomically profiled. Creation of a model repository (discussed below) replete with such information will accelerate progress by providing investigators worldwide with common ground for studies, thus allowing valid comparison of results and nomination of therapeutic candidates that should advance to the clinic. Although several groups have successfully established models from LAMNs and HAMNs124128, models from more clinically aggressive histologies such as high-grade colonic type (non-mucinous) adenocarcinoma, SRC carcinomas and goblet cell adenocarcinomas have not been reported and, thus, remain a colossal unmet need. The unique biology of each histology will probably demand distinct methodologies to successfully produce such models.

As new preclinical animal and human tissue-based models of appendix tumours are generated, this will deliver additional opportunities to conduct preclinical trials of novel therapeutics. Overall, the development of representative preclinical models in appendix tumours will also support our ability to define the molecular basis of resistance to specific therapies and, thereby, accelerate clinical development of more effective agents for patients.

Establishing a model repository.

From in vitro to in vivo models, moving forward, it is essential to establish these platforms to be representative of all appendix tumour histology subtypes, patients, and to best recapitulate the original tumour tissue both genotypically and phenotypically. Towards the development of a much-needed centralized repository of appendix tumour models, a key first step is to define the gaps that exist in our current models (for example, histologies, race and ethnicity, genetic ancestral groups, and sex) (Table 3). Additionally, defining and characterizing the appendix TME from patient tissues will instruct which other cell types should be obtained and preserved as part of the repository. Established methodologies to recreate the multicellular interactions ex vivo will be imperative for future mechanistic studies and for the development of novel therapeutic strategies.

In parallel, we acknowledge the real-time infrastructure costs associated with repository activities, including collection, maintenance, storage, distribution and analyses. This places an emphasis on the need for monetary investment from funding agencies, participating academic medical centres, and philanthropy to consistently support broad collection and rapid dissemination and accessibility of these resources, including protocols. Without a doubt, this network and resource will become a nucleus for catalysing appendix tumour research and collaborations across the field.

Clinical studies of appendix tumours

Clinical research — which includes treatment trials and cohort, behavioural and health services studies — is fundamental to advancements in our understanding of appendiceal tumours and to informing clinical practice patterns and evidence-based medicine.

Prospective, patient-partnered clinical cohorts.

With a rare malignant tumour type, single-institution-based studies deliver limited impact. Selection bias may exist at large centres owing to referral patterns. Consequently, these studies may not represent the overall patient population and inherently diminish our ability to derive equal benefits to all patients with appendix tumours. This places an emphasis on collaborative, multi-centre efforts to yield evidence-based, clinically impactful findings and conclusions. As we work to advance our fundamental understanding of appendix carcinogenesis, there remains an attractive benefit to large-scale, patient-partnered or community-engaged efforts — such as the Genetics of Appendix Cancer (GAP) study (NCT05734430)129,130 — that can overcome real-world challenges (for example, sufficient case numbers), as well as limited data and representative tissue collections, to establish a robust appendix tumour atlas and to drive clinical and translational research discoveries for the field.

Interventional clinical trials.

Current treatment recommendations for appendiceal tumours are primarily based on retrospective analyses and extrapolation of treatments used for CRC owing to anatomical proximity131 — even considering the body of evidence that posits fundamental differences between these two tumour types as described earlier. Despite the high unmet medical need, there has been little interest from major pharmaceutical companies in drug development for appendix tumours. This is partly attributable to the rarity of this cancer type, but also to the unique biological behaviour of mucinous tumours of the appendix, which demonstrate a slow growth rate, potential challenges of drug penetration, and complexity in measuring highly mucinous lesions for disease response assessment. These characteristics limit the extrapolation of standard drug development approaches that are used for other solid tumours. This lack of investigation represents a major challenge in standardizing appendix tumour treatment, in bringing precision medicine to this rare malignancy, and in improving patient quality-of-life and outcomes for patients with appendix tumours.

To date, no phase III clinical trials for appendix tumours have been conducted, and only three phase II trials of systemic therapy have been completed96,132,133. The definitive treatment for early-stage appendix tumours is surgery with or without regional lymphadenectomy. However, for low-grade appendix tumours, retrospective data sets have suggested no benefit of lymphadenectomy — which aligns with the predominant biological pattern of peritoneal dissemination over lymphatic spread134,135. This is reflected in the rarity of well-differentiated mucinous stage III disease from national registries22,136. The role of adjuvant chemotherapy in this setting has not been prospectively studied, although registry data has also suggested a benefit from adjuvant therapy in stage II or stage III appendix tumours136. Owing to the predilection for peritoneal-only dissemination and an indolent growth rate, metastatic mucinous appendix tumours are treated with cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) when a complete cytoreduction is achievable20. Although neither treatment has been prospectively studied in randomized trials, a complete CRS is strongly correlated with improved survival in retrospective series135,137. Despite a number of negative randomized phase III trials investigating the use of HIPEC in CRC, HIPEC is still utilized in appendiceal tumours and its use represents a space of investigational need138140. Moreover, the higher rate of peritoneal-only dissemination of appendix tumours may limit the extrapolation of CRS ± HIPEC (CRS with or without HIPEC) data from CRC to appendix tumours. Specific questions that require investigation relate to whether there is an added benefit of HIPEC on top of CRS and to the optimal methodology of HIPEC (for example, temperature, duration, chemotherapy agent and chemotherapy dosing). Although retrospective series have primarily demonstrated a role for CRS ± HIPEC for low-grade mucinous tumours, the benefit of CRS ± HIPEC for high-grade mucinous appendix tumours or non-mucinous appendix tumours is less well-demonstrated.

Patients with appendix tumours and extensive peritoneal disease may not be suitable candidates for a complete CRS, and the benefit of incomplete CRS ± HIPEC is controversial — partly related to the high morbidity and mortality rate associated with CRS. However, owing to the bias towards peritoneal-only dissemination and indolent disease biology of low-grade mucinous appendix tumours, palliative incomplete CRS ± HIPEC is often used in clinical practice, despite the lack of evidence supporting an incomplete cytoreduction. Limited studies have suggested a benefit of palliative HIPEC in the control of refractory malignant ascites141,142. Two critical prognostic factors post-CRS ± HIPEC are the completeness of cytoreduction (CC) score and the peritoneal cancer index (PCI)143,144. Because these are both operative predictors of outcome, efforts to preoperatively assess the ability to achieve a complete CRS are warranted. Although preoperative radiographical scores have been identified, validation and optimization of these preoperative imaging scoring systems are still needed145,146. Furthermore, the use of novel radiomic and volumetric radiological assessments should be explored in this setting.

Another area for clinical trial investigation relates to the role of systemic therapy for mucinous appendiceal tumours and, in particular, LAMNs. Although the use of systemic chemotherapy has been extrapolated from its use in CRC131, the benefit from such therapy is uncertain because many fundamental challenges exist — especially for LAMNs. First, the indolent and mucinous nature of these tumours poses challenges to the assessment of tumour efficacy. Second, the low rate of cell division in these indolent tumours suggests that cytotoxic systemic chemotherapy predicated on targeting cell division is poorly suited for this cancer type, and therefore, alternative systemic therapy approaches are needed. Third, the highly mucinous nature of these tumours suggests that a drug that targets mucin — the predominant component of these tumours — may be the optimal therapeutic target.

Despite a phase II trial of the chemotherapy combination capecitabine and mitomycin-C showing a clinical benefit from therapy133, this was based primarily on tumour marker improvement and semi-quantitative radiographical changes. By contrast, a recent small randomized clinical trial of fluoropyrimidine-based chemotherapy compared to observation alone for low-grade mucinous appendiceal adenocarcinomas has not demonstrated a statistically significant difference in the rate of tumour growth between observation and chemotherapy132. The divergent outcomes of these two trials demonstrate the inherent challenges of investigating systemic therapy in this indolent disease and the need for a consensus approach for efficacy assessment. The use of the standardized tumour assessment methodology known as Response Evaluation Criteria in Solid Tumors (RECIST) is of limited utility in LAMNs because changes in tumour size are limited and most commonly stable disease will be present with or without a therapeutic intervention. The duration of stability or progression-free survival are probably better determinants of efficacy but are confounded by the naturally indolent nature of this disease. Eligibility criteria requiring prior progression of disease within the 12 months before study entry, as utilized in clinical trials for low-grade neuroendocrine tumours, should be considered to address the variable natural history of this disease147. All these challenges relating to radiographical assessment suggest that randomized clinical trial design may be needed to robustly demonstrate efficacy in appendix tumours.

The biology of LAMNs strongly suggests a need for a non-chemotherapy-based systemic approach such as targeted therapy, anti-mucin therapy or immune-based therapy96,148. Although LAMNs tend to have limited genomic alterations, the common co-alteration of mutations in KRAS and GNAS suggest a unique opportunity for targeted therapy28,43,149. (Fig. 4). Recently, inhibitors targeting the KRAS oncoprotein have shown clinical activity and should be explored in appendix tumours, along with the development of agents targeting Gαs(ref. 150). Additionally, a cancer therapy trial that included 13 patients with GNAS-mutant peritoneal mucinous carcinomatosis originating from a primary appendiceal tumour has observed that single-agent pal-bociclib — a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor — had clinical activity that was superior to that previously reported with cytotoxic chemotherapy and, therefore, should be further explored as a novel therapeutic strategy in the setting of appendiceal tumours with peritoneal spread119.

Fig. 4 |. Crosstalk between Gαs and KRAS signalling.

Fig. 4 |

Low-grade appendiceal mucinous neoplasms (LAMNs) are uniquely characterized by the common occurrence of co-mutations in KRAS and GNAS (which encodes Gαs). The antagonistic crosstalk between KRAS and Gαs signalling works in opposite directions, such that one is inhibitory as the other is agonistic. These co-mutations can deregulate oncogenic signalling pathways, including WNT, Hedgehog and transforming growth factor-β (TGFβ)–SMAD. The potential interactions between these two pathways suggest that targeting these in LAMNs may have an impact on both cellular growth and mucin production. Figure adapted from ref. 28, CC BY 4.0.

Beyond the call to action for developing clinical trials in appendix tumours, it is imperative to emphasize the importance of inclusive clinical trials for this patient population. With the worse outcomes among historically marginalized groups with appendix tumours, it will be important to meaningfully consider the barriers to awareness, recruitment and participation for these patients in future clinical trials9,151. As an integral part of holistic health and care, it is also relevant to call out the need for behavioural interventional studies and programmes in this setting to be able to minimize treatment side effects, reduce symptoms (for example, depression), and support improvements in overall quality-of-life (for example, exercise interventions)152. Incorporation of patient-reported outcome measurement tools in clinical trial design153 should also be explored to deepen our understanding of individual perspectives related to the health, quality-of-life and functional status of patients154. Overall, the development of a robust clinical-trial pipeline investigating a spectrum of novel drugs identified from rigorous molecular and preclinical investigations of appendix tumours cannot be executed without substantive collaboration and investments from financial stakeholders. This includes support from pharmaceutical companies and federal funding agencies for investigator-initiated trials.

Novel blood-based biomarkers for surveillance and outcomes.

Blood-based tumour markers specific to appendix tumours do not currently exist. Markers that are utilized in the management of other gastrointestinal and gynaecological malignancies155, including CA-125, CA19-9 and carcinoembryonic antigen (CEA), are also commonly elevated in patients with appendiceal carcinomas and associated with poorer outcomes156161. Consequently, US national consensus working groups, including the Peritoneal Surface Malignancies (PSM) Consortium Consensus Guidelines20,21, have endorsed the measurement of all three markers in patients with appendix tumours. However, the use of these serum tumour markers is not universal in the clinical setting for this population. This may be owing to concerns with lack of payer coverage in the USA (for example, Medicare does not currently cover CA-125 or CA19-9 testing for patients with appendiceal carcinomas) or limited knowledge of the treating providers.

Novel markers — including circulating tumour DNA (ctDNA)162165 — have started to be tested in appendix tumours. Initial evidence from retrospective studies indicates that the detection of ctDNA during surveillance may be associated with shorter recurrence-free survival. In addition, the observation that lower ctDNA levels were detected in patients with grade 2–3 appendiceal carcinomas with peritoneal metastases for whom chemotherapy was administered 6 weeks prior hints that ctDNA kinetics may be an early indicator of therapy response166. Future prospective studies and trials are of considerable value to correlate serum tumour markers, ctDNA and/or other novel biomarkers to radiographical, as well as clinical, response in patients with appendix tumours. Moreover, the discovery and validation of effective blood-based biomarkers specific to appendix tumours will be fundamental to clinical assessment for early evidence of pharmacological response.

Diagnostic and imaging modalities for appendiceal tumours.

Computed tomography is the primary diagnostic modality used to stage patients with appendix tumours. However, this is fraught with challenges in this patient population because peritoneal disease does not necessarily provide definitive borders of involvement and does not fulfill standard RECIST 1.1 criteria. Thus, the assessment of treatment response is also difficult to define. Furthermore, most of the literature to date are small case cohorts and/or retrospective analyses167169. Increased vigilance in the radiological setting is one important strategy to reduce missed or inaccurate appendix tumour diagnosis. Another strategy is the development of a strong partnership with diagnostic imaging technology industries to improve the application and efficacy of imaging modalities, including dual-modality imaging, for appendix tumours. These are integral to disease detection, monitoring and surveillance.

Quality of and equity in health-care delivery and outcomes.

Examining access to and the use, quality, delivery, costs and outcomes of health-care services for patients with appendix tumours is a valuable yet understudied area of research170172. For example, effectiveness studies of the impact of systems of care on patient outcomes, including preferred provider organizations and referral patterns173, can support efforts to refine referral practices and recommendations for these patients, especially in the community practice setting, and to improve the awareness and reach of future clinical trials. As we work towards the development of novel appendix tumour therapies, health services research will remain a key component to support optimal health-care delivery and outcomes for this population.

Appendix cancer on a population level

Understanding the appendix tumour burden at a population level is aimed at primary cancer prevention, risk assessment and early detection, health outcomes, survivorship and the delivery of cancer care to all communities. These collective efforts across the cancer care continuum harness the ability to translate findings to clinical trials, improve clinical practice and impact public policy.

Elucidating exposures, risk factors and patterns.

Given the rising incidence of epithelial tumours of the appendix and their clinically ‘silent’ behaviour in the early stages, identifying potential risk factors and/or exposures associated with appendix tumours may allow for the identification of high-risk populations and for earlier diagnosis. Furthermore, identification of these risk factors may have important public health implications, allowing for cancer prevention and detection strategies at a community level174. As with any rare disease, identifying potential risk factors and exposures requires a tremendous, years-long undertaking and undoubtedly relies on pooling existing resources in accomplishing this goal. An example is the Appendiceal Cancer Consortium (APPECC) — an effort recently established to characterize modifiable factors (as well as biomarkers) of appendix tumour risk175. Given the inherent limitations of cohort-based strategies, including the need to often rely on retrospective data with potential inaccuracies176, there is also a need to pursue contemporary case–control or case–cohort studies to identify risk factors for appendix tumours. Future studies investigating birth cohort, period, geographical and age-specific patterns in appendix tumour incidence will also augment our understanding of what life-course exposures (for example, environmental, geographical and in utero)177 are relevant for further study in this rare tumour type. These interrogations may also help to shed light on what the distinct and shared pathways of appendix carcinogenesis are compared with other well-characterized distinct tumour types, such as CRC.

An evidence-based survivorship care plan.

The burgeoning appendix tumour burden with unexplained aetiologies is also inevitably leading to a growing population of survivors with a unique cancer journey. This is partly attributable to the trajectory in appendix tumour diagnosis, its rarity, and the aggressive CRS ± HIPEC treatment for eligible patients with peritoneal disease. For example, malignant bowel obstruction is a common presentation of patients who have peritoneal metastases178 and is associated with substantial symptoms that impact quality-of-life and lead to poor prognostic outcomes179. With the majority of patients presenting with advanced disease and owing to the rarity of this malignancy, survivorship remains an understudied area of clinical care for patients with appendix tumours180187. Currently, survivorship guidelines are largely adopted from CRC. However, the increased recognition that appendix tumours are a separate entity from CRC supports the development of an appendix tumour-specific conceptual framework and an evidence-based survivorship care plan that outlines the distinct needs of patients with appendix tumours (Fig. 5). This is strongly recommended to support the delivery of high-quality and continuous clinical care, especially when this care is coordinated across multiple practice settings. Doing so requires recognition and comprehensive research of the issues faced by all patients with appendix tumours from diagnosis to treatment and into surveillance.

Fig. 5 |. Care framework for patients with appendix tumours.

Fig. 5 |

Clinical care for patients with appendix tumours is complex and multifaceted. These domains of care after an appendix tumour diagnosis are inclusive of disease information and education, health-care delivery and practice, prevention and surveillance for disease recurrence and second primary cancers, and surveillance and management of the physical, psychosocial, emotional and spiritual effects of an appendix tumour diagnosis and its treatment(s). AJCC, American Joint Committee on Cancer.

Another key consideration for all cancer survivors is the risk of developing a second primary cancer131. As a leading cause of morbidity and mortality among cancer survivors188, second cancers may become a central issue over time for patients with appendix tumours — particularly those diagnosed with early-onset disease189. Whereas the cumulative incidence of second cancers varies by patient age and first primary cancer type, presently, there is a dearth of evidence on second cancer risk within the population of patients with appendix tumours. Further research in this space will be critical to help guide high-quality, holistic clinical management of survivors.

Ascertaining real-world patient data for new clinical insights.

Beyond the prospective clinical studies, trials and consortium-based efforts acknowledged thus far, there is also a valuable role for research in appendix tumours utilizing multi-institutional databases. A precedent for this recommendation comes from prior studies that have included patients with appendix tumours and peritoneal metastases who underwent CRS ± HIPEC190192 and studies evaluating the role of ctDNA in appendix tumours166, discordance in appendix tumour pathology193, and the natural history of this disease194. With careful consideration from disease experts for the curation and standardization of appendix tumour-specific data fields, a multi-institutional database model delivers more timely access to real-world data and may yield valuable clinical insights that drives future research and innovation in this rare malignancy.

Utilizing cancer registries to understand disease trends and control.

Population-based and hospital-based cancer registries are essential to understanding cancer trends and control, patient burden, treatments and outcomes, and even health disparities — especially in the context of rare tumour types. However, the standardized data fields used in these robust cancer registries (for example, SEER18 and the National Cancer Database (NCDB)) do not all fit the appendix tumour continuum. For example, surgical resection of the primary tumour — a routine variable captured in registries — often occurs before disease diagnosis when the tumour is discovered at appendectomy for presumed appendicitis. Many of these patients will later undergo CRS and HIPEC for peritoneal metastases, but the current NCDB system combines all individual surgeries for a patient into one procedure code and reports only the most extensive surgery. The predominant spread of appendiceal tumours to the peritoneal cavity is also not uniformly captured because it is not a registry-specified site for metastasis.

In addition, current morphology codes used for capturing histological types in registries are suboptimal for appendiceal tumours — especially for LAMNs and mucinous adenocarcinomas. Use of the same morphology code for LAMN, HAMN and mucinous adenocarcinoma, with differences only in the behaviour code, make it impossible to retrieve these cases as separate entities from the registries, thereby severely hampering analyses of clinical outcomes. This, together with the recent shift from a four-category to a three-category grading variable in SEER, leads to potential misclassification or misuse of tumour grade in current registry data and in downstream secondary analyses. This inherently precludes the potential to consider tumour grade appropriately in analyses of existing cancer registry data. Together, these limitations point to the need for meaningful discussions among site-specific experts, registrars and registry staff to acknowledge these appendix tumour-specific nuances and consider what can be addressed on a practical level for moving forward in developing robust registry data.

Provider and public education, and resources.

Failure to recognize chronic, nonspecific gastrointestinal symptoms as a possible appendix tumour is a longstanding problem, and the risks associated with this are exacerbated by the trend towards more non-operative management of appendicitis. Thus, an important aspect of defining appendix tumours on a population level is provider and public education. For clinical care providers, this includes the importance of keeping occult appendiceal tumours in the differential diagnosis for patients presenting in this manner — particularly those under the age of 50 years10. Effective education and resources focused on (1) the signs and symptoms of appendix tumours, (2) the clinical and biological distinction of appendiceal tumours from cancers originating in the colon, (3) the changes in behaviour codes used to classify LAMN and HAMNs, (4) the independent International Classification of Diseases, Tenth Revision (ICD-10) diagnosis code that is specific to appendiceal tumours, and (5) up-to-date treatment modalities for appendiceal tumours that are vital for high-quality patient care (for example, to support correct and timely diagnoses) and for robust cancer registry data and research to guide evidence-based practices.

Conclusions

Research in the field of appendiceal tumours has grown over the past several decades. This is evident from an increase in high-quality publications and in the exciting discoveries that have begun to disentangle the intricate complexities of this distinct tumour type. It is, therefore, timely that defining a cells to society research framework for appendix tumours presented for the first time herein by a group of leading experts is poised to revolutionize this field, including by characterizing appendix tumour pathogenesis, metastasis and the tumour microenvironment, refining tumour histopathological subtypes, establishing novel appendix tumour model systems for laboratory-based studies, developing disease-specific therapeutic modalities and clinical management guidelines, and defining the overall population burden for appendix tumours and health inequities. An indispensable step in achieving these advancements requires robust investments from funding agencies and organizations. A recurrent theme in the rare cancer space is that this work cannot be done independently: the collaboration of researchers across numerous disciplines, including basic and translational scientists, clinicians, computational and systems biologists, and population scientists is poised to yield major breakthroughs for appendix tumours. Irrefutably, continued progress in this important and exciting field will impact our fundamental understanding of rare appendix tumours, drive the field forward to improve treatments and outcomes for patients, and sketch a ‘blueprint’ for promising strategies to adapt and to apply in the setting of other rare malignancies.

Key points.

  • The rarity of appendiceal tumours present a plethora of unique challenges, inclusive of the following: inaccuracies in accurately capturing disease incidence and prevalence, difficulties with the ascertainment of representative tumour tissues, limited funding opportunities, insufficiency of models and techniques to study appendix pathogenesis and metastasis, and poorly understood heterogeneity across tumour histologies.

  • Defining the continuum of appendiceal tumour histopathological features — utilizing both digital and computational pathology approaches — is poised to expand access for both patients and pathologists, to support current classification and grading criteria, and to potentially deliver molecular predictions and/or novel classifications in appendiceal tumours that can heighten clinical accuracy.

  • Comprehensive molecular profiling of primary and metastatic appendiceal tumours is essential to delivering a complete picture of appendix tumour pathophysiology and for downstream mechanistic and preclinical studies and therapeutic target discovery. Understanding normal appendix epithelium may also reveal why certain tumour histologies (for example, low-grade mucinous neoplasms and goblet cell adenocarcinomas) are virtually unique to the appendix.

  • Evolution of the dynamic and complex ecosystem surrounding appendiceal tumour cells in the primary and metastatic disease setting — the tumour microenvironment (TME) — largely remains an enigma. Disentangling this complex biological interplay within the TME may deliver a new array of rational and potentially combinatorial therapeutic strategies for targeting appendix tumours.

  • The interrogation of appendix tumour biology and advancement in the rate of clinical translation in this disease space is a requisite research need reliant on the establishment of appropriate in vitro, in vivo and computational model systems that are representative of diverse tumour histologies, patient characteristics and the TME.

  • Informing clinical practice patterns and evidence-based medicine for appendiceal tumours is consequent on the conduct of prospective clinical investigations — including cohort, behavioural and health services studies — and clinical trials that address unique considerations of this tumour type.

  • Characterizing the appendix tumour burden on a population level is a priority area that will, in time, deliver evidence to support primary cancer prevention and risk assessment, early detection strategies, improved survivorship and health outcomes, and optimal cancer care delivery to diverse communities.

  • Revolutionizing collaborative research in rare appendiceal tumours — inclusive of robust funding investments and transdisciplinary scientific partnerships — will undoubtedly drive this field towards improving therapies and outcomes for this growing patient population and will also chart a ‘blueprint’ for promising strategies that can be extended into other rare cancer types.

Acknowledgements

The authors thank J. C. Cusack, U. N. Maduekwe and J. P. Y.C. Shen for their intellectual contributions to the Appendix Cancer Pseudomyxoma Peritonei (ACPMP) Research Foundation inaugural Scientific Think Tank. The authors also thank R. Babyak, R. A. Francis, N. Dadgar, D. Gress and A. E. Adams for their technical assistance. Furthermore, the authors extend their sincere gratitude to K. Dobson and M. Yerkes for sharing their individual stories with appendix cancer. This work was supported by the ACPMP Research Foundation and, in part, by the Vanderbilt-Ingram Cancer Center and by the National Institutes of Health-National Cancer Institute grant P50 CA236733.

Competing interests

A.N.H. is Chair of the Scientific Advisory Board for the Appendix Cancer Pseudomyxoma Peritonei (ACPMP) Research Foundation and is on the American Joint Committee on Cancer Lower Gastrointestinal Tract Expert Panel and the Peritoneal Surface Malignancies Consortium. A.N.H. reports receiving grants from the National Institutes of Health, American Cancer Society, ACPMP Research Foundation, Dalton Family Foundation and Pfizer. A.N.H. also reports receiving consulting fees from MJH Life Sciences and Bayer outside the submitted work. M.J.O. and K.I.V. are Scientific Advisory Board members for the ACPMP Research Foundation. M.J.O. reports receiving research funding from Takeda, Roche, Lilly, Merck, Medimmune, Bristol–Myers Squibb (BMS), Nouscom and Phanes. M.J.O. also reports consulting fees from Roche, Astellas, Medimmune, Merck, Amgen, Takeda, Janssen, Pfizer, Array, Gritstone, Simcere, Atreca and Bayer. K.I.V. reports receiving grants from the National Institutes of Health and ACPMP Research Foundation. K.I.V. also reports financial interests as the Chief Executive Officer and Founder of Applied Organoids. A.M.L. is a Medical Advisory Board member for the ACPMP Research Foundation and reports receiving grants from the Levine Family Chancellor’s Endowed Chair in Surgical Oncology, National Institutes of Health, and Department of Defense, as well as generous gifts from the estate of Elisabeth and Ad Creemers, the Euske Family Foundation, the Gastrointestinal Cancer Research Fund and the Peritoneal Metastasis Research Fund at the University of California, San Diego. P.W. reports receiving grants from the Pittsburgh Foundation and the ACPMP Research Foundation. R.M.G. reports personal fees from Adaptimmune, AstraZeneca, Bayer, Compass Therapeutics, Focal Medical, G1 Therapeutics, Genentech, GlaxoSmithKline, Haystack Oncology, Innovative Cellular Therapeutics, Merck, Sorrento Therapeutics, Taiho Oncology, Takeda, Valar Technologies and Wolters Kluwer Health outside the submitted work. R.M.G. also reports owning stock options in Focal Medical, Haystack Oncology and Compass Therapeutics. D.B.J. has served on advisory boards or as a consultant for AstraZeneca, BMS, The Jackson Laboratory, Mallinckrodt, Merck, Mosaic ImmunoEngineering, Novartis, Pfizer, Targovax and Teiko; has received funding from BMS and Incyte; and has patents pending for the use of MHC-II as a biomarker for immune checkpoint inhibitor response and for abatacept as treatment for immune-related adverse events. A.S. has served on advisory boards for Merus, Guardant, Pfizer, Regeneron/Sanofi and Catalyst Pharmaceuticals. A.S. also reports receiving funding (to the University of Chicago Medical Center) from Hutchison MediPharma, Takeda, Merck, Verastem Oncology, Turning Point Therapeutics, Gritstone, Bolt Therapeutics, BMS, Pfizer, Astellas, Oncologie, Macogenics, Seattle Genetics, Amgen, Daiichi, Lilly, Jacobio, Astrazeneca, Jazz Pharma and Agenus. N.C.Z. reports receiving grants from the National Institutes of Health, Department of Defense, and Eli Lilly and Company. D.S. is a volunteer Executive Director and Board member for the ACPMP Research Foundation. W.C.F., C.E., M.K.W., M.H., K.I. and E.W. declare no competing interests.

Glossary

Appendectomy

A surgical procedure to remove the appendix, a small, finger-shaped organ originating in the colon (large bowel), located in the lower right side of the abdomen.

Ascites

Swelling in the peritoneal cavity caused by an abnormal accumulation of abdominal fluid.

Colonoscopy

A procedure in which a flexible instrument is inserted through the anus to examine the inner lining of the colon after cleansing it of stool using a variety of laxative preparative regimens.

Completeness of cytoreduction (CC) score

Assessment of the postoperative extent of peritoneal disease removal.

Complicated appendicitis

Appendicitis associated with necrosis leading to perforation or a periappendicular abscess.

Convolutional neural networks

A mathematical algorithm that analyses visual images by processing data in multiple layers to detect and classify objects in an image.

Cytoreductive surgery

(CRS). A surgical procedure to remove all visible tumours and diseased tissue in the peritoneum.

Dual-modality imaging

The use of two complementary imaging techniques to improve diagnostic accuracy and assessments.

Early-onset appendix tumours

Tumours in individuals between 18 and 49 years of age.

Genetic variants

Changes in DNA sequence between individuals within a population.

Goblet cell

Intestinal epithelial cell that synthesizes and secretes mucus and mucins, named for its goblet cup-like appearance formed by mucin granulae that fill up the cytoplasm.

Hyperthermic intraperitoneal chemotherapy

(HIPEC). A procedure wherein a catheter containing chemotherapeutic drugs is inserted into the abdominal cavity. The catheter is connected to a perfusion machine, which heats the chemotherapy drugs and pumps them through the abdomen.

Intra-operative consultations

With respect to frozen sections. Immediate ad hoc pathologist interpretations that guide surgical management.

Mesothelial cells

A thin layer of cells present on the surface of the peritoneum that allows internal organs to move freely, that secretes lubricants for tissue protection, and that initiates an immune response when encountering tumour cells or foreign organisms.

Microsatellite instability

(MSI). Regions of repeated DNA that change in length when mismatch repair is defective. These deficiencies in DNA mismatch repair can be caused by hereditary, germline mutations or epigenetic silencing by hypermethylation.

Mucin

A family of glycoproteins that are secreted by epithelial cells and form a major component of mucus.

Peritoneal cancer index

(PCI). A scoring system (from 0–39) used to quantify the extent of disease spread into the peritoneal cavity.

Peritoneal washings

A procedure wherein a salt–water solution is used to wash the peritoneal cavity. This solution is then removed to check for cancer cells.

Peritoneum

A protective membrane lining the abdominal cavity that also extends to cover most of the organs in the abdomen.

Pseudomyxoma peritonei

(PMP). Also known as mucinous carcinoma peritonei. A clinical entity characterized by diffuse intra-abdominal gelatinous ascites with mucinous implants on peritoneal surfaces. Mucinous neoplasms of the appendix are the most common, but not the sole, tumour type that can give rise to PMP.

Signet ring cells

(SRCs). Glandular epithelial cells that line digestive organs. Their respective nucleus is shifted to one side by a large cytoplasmic vacuole.

Tumour cellularity

The overall percentage of a tumour that contains neoplastic epithelium with mucinous deposits by visual pathological estimation.

Tumour grade

A qualitative assessment of the degree of tumour differentiation. Grade may reflect the extent to which a tumour resembles normal tissue.

Whole slide imaging

(WSI). The microscopic scanning of whole glass tissue slides to convert them into digital equivalents.

References

  • 1.O’Donnell ME, Badger SA, Beattie GC, Carson J & Garstin WI Malignant neoplasms of the appendix. Int. J. Colorectal Dis 22, 1239–1248 (2007). [DOI] [PubMed] [Google Scholar]
  • 2.Singh H, Koomson AS, Decker KM, Park J & Demers AA Continued increasing incidence of malignant appendiceal tumors in Canada and the United States: a population-based study. Cancer 126, 2206–2216 (2020). [DOI] [PubMed] [Google Scholar]
  • 3.Marmor S, Portschy PR, Tuttle TM & Virnig BA The rise in appendiceal cancer incidence: 2000–2009. J. Gastrointest. Surg 19, 743–750 (2015). [DOI] [PubMed] [Google Scholar]
  • 4.Trivedi AN, Levine EA & Mishra G Adenocarcinoma of the appendix is rarely detected by colonoscopy. J. Gastrointest. Surg 13, 668–675 (2009). [DOI] [PubMed] [Google Scholar]
  • 5.Soto Llanes JO, Dosal Limon SK, Iberri Jaime AJ, Zambrano Lara M & Jimenez Bobadilla B Lower gastrointestinal bleeding secondary to appendiceal mucinous neoplasm: a report of two cases and a review of the literature. Cureus 16, e52908 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Xie M & Li F Incidental diagnosis of primary appendiceal signet-ring cell adenocarcinoma after appendectomy for acute appendicitis: a case report. Ann. Med. Surg 86, 3117–3122 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Votanopoulos KI, Shen P, Skardal A & Levine EA Peritoneal metastases from appendiceal cancer. Surg. Oncol. Clin. N. Am 27, 551–561 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Janczewski LM et al. Survival outcomes used to validate version 9 of the American Joint Committee on Cancer staging system for appendiceal cancer. CA Cancer J. Clin 73, 590–596 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]; This article highlights key clinical components of the published version 9 of the AJCC staging system for appendiceal tumours.
  • 9.Holowatyj AN et al. Early-onset appendiceal cancer survival by race or ethnicity in the United States. Gastroenterology 159, 1605–1608 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gibbs T et al. Histologic and racial/ethnic patterns of appendiceal cancer among young patients. Cancer Epidemiol. Biomark. Prev 30, 1149–1155 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]; This population-based cohort study defines appendiceal tumour features among young patients, including the discovery that approximately one in every three adult patients is diagnosed with early-onset disease (before the age of 50 years).
  • 11.Chauhan A et al. AJCC Cancer Staging System: Neuroendocrine Tumors of the Appendix (American College of Surgeons, 2023). [Google Scholar]
  • 12.National Comprehensive Cancer Network. NCCN guidelines: neuroendocrine and adrenal tumors. NCCN; https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1448 (2024). [Google Scholar]
  • 13.McMillan SS, King M & Tully MP How to use the nominal group and Delphi techniques. Int. J. Clin. Pharm 38, 655–662 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Valasek MA et al. Overinterpretation is common in pathological diagnosis of appendix cancer during patient referral for oncologic care. PLoS ONE 12, e0179216 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]; This study reveals a 28.3% overall discordance in the pathological classification of appendiceal tumours (inclusive of LAMNs and adenocarcinomas) between the originating, outside pathology group and the in-house pathology review at a single large academic medical centre, highlighting the critical need for expert pathology review of appendix tumours among all patients.
  • 15.Overman MJ et al. AJCC Cancer Staging System: Appendix (American College of Surgeons, 2023). [Google Scholar]
  • 16.Maedler C et al. Goblet cell carcinoid of the appendix — an interobserver variability study using two proposed classification systems. Ann. Diagn. Pathol 32, 51–55 (2018). [DOI] [PubMed] [Google Scholar]
  • 17.Nagtegaal ID et al. The 2019 WHO classification of tumours of the digestive system. Histopathology 76, 182–188 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]; The fifth edition of the WHO classification of tumours of the digestive system reflects the change in classification from goblet cell carcinoid or carcinoma to goblet cell adenocarcinoma of the appendix, given that the recognition of this tumour type has a minor neuroendocrine component.
  • 18.National Cancer Institute, Surveillance, Epidemiology, and End Results Program. US county population data (1969–2022). SEER www.seer.cancer.gov/popdata (2024). [Google Scholar]
  • 19.Miller LD & Votanopoulos KI Exploring the relationship: low-grade appendiceal mucinous neoplasms (LAMN) and mucinous adenocarcinoma as phases of the same disease spectrum. Ann. Surg. Oncol 30, 6976–6977 (2023). [DOI] [PubMed] [Google Scholar]
  • 20.PSM Appendiceal Tumor Writing Group, PSM Consortium Group & Turaga KK Consensus guideline for the management of patients with appendiceal tumors: part 1: appendiceal tumors with peritoneal involvement. Preprint at medRxiv 10.1101/2024.04.09.24305468 (2024). [DOI] [Google Scholar]
  • 21.PSM Appendiceal Tumor Writing Group, PSM Consortium Group & Turaga KK Consensus guideline for the management of patients with appendiceal tumors: part 2: appendiceal tumors without peritoneal involvement. Preprint at medRxiv 10.1101/2024.08.30.24309032 (2024). [DOI] [Google Scholar]
  • 22.Overman MJ et al. Improving the AJCC/TNM staging for adenocarcinomas of the appendix: the prognostic impact of histological grade. Ann. Surg 257, 1072–1078 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.SenthilKumar G et al. Validation of the AJCC 8th edition staging system for disseminated appendiceal cancer patients treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: a multi-institutional analysis. Ann. Surg. Oncol 30, 5743–5753 (2023). [DOI] [PubMed] [Google Scholar]
  • 24.Davison JM et al. Clinicopathologic and molecular analysis of disseminated appendiceal mucinous neoplasms: identification of factors predicting survival and proposed criteria for a three-tiered assessment of tumor grade. Mod. Pathol 27, 1521–1539 (2014). [DOI] [PubMed] [Google Scholar]
  • 25.Bradley RF, Stewart JHT, Russell GB, Levine EA & Geisinger KR Pseudomyxoma peritonei of appendiceal origin: a clinicopathologic analysis of 101 patients uniformly treated at a single institution, with literature review. Am. J. Surg. Pathol 30, 551–559 (2006). [DOI] [PubMed] [Google Scholar]
  • 26.Ronnett BM et al. Disseminated peritoneal adenomucinosis and peritoneal mucinous carcinomatosis. A clinicopathologic analysis of 109 cases with emphasis on distinguishing pathologic features, site of origin, prognosis, and relationship to “pseudomyxoma peritonei”. Am. J. Surg. Pathol 19, 1390–1408 (1995). [DOI] [PubMed] [Google Scholar]
  • 27.Carr NJ et al. A consensus for classification and pathologic reporting of pseudomyxoma peritonei and associated appendiceal neoplasia: the results of the Peritoneal Surface Oncology Group International (PSOGI) modified Delphi process. Am. J. Surg. Pathol 40, 14–26 (2016). [DOI] [PubMed] [Google Scholar]
  • 28.Alakus H et al. Genome-wide mutational landscape of mucinous carcinomatosis peritonei of appendiceal origin. Genome Med 6, 43 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Raghav K et al. Integrated clinico-molecular profiling of appendiceal adenocarcinoma reveals a unique grade-driven entity distinct from colorectal cancer. Br. J. Cancer 123, 1262–1270 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ang CS et al. Genomic landscape of appendiceal neoplasms. JCO Precis. Oncol 2, 1–18 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Tokunaga R et al. Molecular profiling of appendiceal adenocarcinoma and comparison with right-sided and left-sided colorectal cancer. Clin. Cancer Res 25, 3096–3103 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]; This study analyses next-generation sequencing data from a commercial laboratory of appendiceal adenocarcinomas and right-sided and left-sided colorectal tumours, highlighting molecular differences between the two tumour types, going some way towards improving personalized treatment strategies for this rare tumour type.
  • 32.Levine EA et al. Gene expression profiling of peritoneal metastases from appendiceal and colon cancer demonstrates unique biologic signatures and predicts patient outcomes. J. Am. Coll. Surg 214, 599–606 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Morgan RB et al. Mutational profiles and prognostic impact in colorectal and high-grade appendiceal adenocarcinoma with peritoneal metastases. J. Surg. Oncol 127, 831–840 (2023). [DOI] [PubMed] [Google Scholar]
  • 34.Liu X et al. Molecular profiling of appendiceal epithelial tumors using massively parallel sequencing to identify somatic mutations. Clin. Chem 60, 1004–1011 (2014). [DOI] [PubMed] [Google Scholar]
  • 35.Borazanci E et al. Potential actionable targets in appendiceal cancer detected by immunohistochemistry, fluorescent in situ hybridization, and mutational analysis. J. Gastrointest. Oncol 8, 164–172 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kabbani W, Houlihan PS, Luthra R, Hamilton SR & Rashid A Mucinous and nonmucinous appendiceal adenocarcinomas: different clinicopathological features but similar genetic alterations. Mod. Pathol 15, 599–605 (2002). [DOI] [PubMed] [Google Scholar]
  • 37.Nishikawa G et al. Frequent GNAS mutations in low-grade appendiceal mucinous neoplasms. Br. J. Cancer 108, 951–958 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Munari G et al. Molecular profiling of appendiceal serrated lesions, polyps and mucinous neoplasms: a single-centre experience. J. Cancer Res. Clin. Oncol 147, 1897–1904 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Johncilla M et al. Mutational landscape of goblet cell carcinoids and adenocarcinoma ex goblet cell carcinoids of the appendix is distinct from typical carcinoids and colorectal adenocarcinomas. Mod. Pathol 31, 989–996 (2018). [DOI] [PubMed] [Google Scholar]
  • 40.Liao X et al. Mutation profile of high-grade appendiceal mucinous neoplasm. Histopathology 76, 461–469 (2020). [DOI] [PubMed] [Google Scholar]
  • 41.Arai H et al. Molecular characterization of appendiceal goblet cell carcinoid. Mol. Cancer Ther 19, 2634–2640 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Foote MB et al. Molecular classification of appendiceal adenocarcinoma. J. Clin. Oncol 41, 1553–1564 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Holowatyj AN, Eng C, Wen W, Idrees K & Guo X Spectrum of somatic cancer gene variations among adults with appendiceal cancer by age at disease onset. JAMA Netw. Open 3, e2028644 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Taggart MW et al. High-level microsatellite instability in appendiceal carcinomas. Am. J. Surg. Pathol 37, 1192–1200 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Holowatyj AN, Washington MK, Tavtigian SV, Eng C & Horton C Inherited cancer susceptibility gene sequence variations among patients with appendix cancer. JAMA Oncol 9, 95–101 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]; This study reports the prevalence and spectrum of cancer susceptibility gene sequence variations among patients with appendiceal tumours, revealing that 10% of patients who underwent testing for hereditary cancer predisposition carried a deleterious sequence variation in a cancer-susceptibility gene.
  • 46.Foote MB et al. The impact of germline alterations in appendiceal adenocarcinoma. Clin. Cancer Res 29, 2631–2637 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Kufe DW Mucins in cancer: function, prognosis and therapy. Nat. Rev. Cancer 9, 874–885 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Shibahara H et al. A comprehensive expression analysis of mucins in appendiceal carcinoma in a multicenter study: MUC3 is a novel prognostic factor. PLoS ONE 9, e115613 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.O’Connell JT, Tomlinson JS, Roberts AA, McGonigle KF & Barsky SH Pseudomyxoma peritonei is a disease of MUC2-expressing goblet cells. Am. J. Pathol 161, 551–564 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Cerami E et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2, 401–404 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Gao J et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci. Signal 6, pl1 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Levine EA et al. Prognostic molecular subtypes of low-grade cancer of the appendix. J. Am. Coll. Surg 222, 493–503 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Su J et al. Prognostic molecular classification of appendiceal mucinous neoplasms treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. Ann. Surg. Oncol 27, 1439–1447 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kooij IA, Sahami S, Meijer SL, Buskens CJ & Te Velde AA The immunology of the vermiform appendix: a review of the literature. Clin. Exp. Immunol 186, 1–9 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Chapman NM & Chi H Metabolic adaptation of lymphocytes in immunity and disease. Immunity 55, 14–30 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Hanse EA et al. A novel assessment of metabolic pathways in peritoneal metastases from low-grade appendiceal mucinous neoplasms. Ann. Surg. Oncol 30, 5132–5141 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Guinane CM et al. Microbial composition of human appendices from patients following appendectomy. mBio 4, e00366–e00412 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Vitetta L, Chen J & Clarke S The vermiform appendix: an immunological organ sustaining a microbiome inoculum. Clin. Sci 133, 1–8 (2019). [DOI] [PubMed] [Google Scholar]
  • 59.Elhag KM, Alwan MH, Al-Adnani MS & Sherif RA Bacteroides fragilis is a silent pathogen in acute appendicitis. J. Med. Microbiol 21, 245–249 (1986). [DOI] [PubMed] [Google Scholar]
  • 60.Roberts JP Quantitative bacterial flora of acute appendicitis. Arch. Dis. Child 63, 536–540 (1988). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Swidsinski A et al. Acute appendicitis is characterised by local invasion with Fusobacterium nucleatum/necrophorum. Gut 60, 34–40 (2011). [DOI] [PubMed] [Google Scholar]
  • 62.Blohs M et al. Acute appendicitis manifests as two microbiome state types with oral pathogens influencing severity. Gut Microbes 15, 2145845 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Dadgar N et al. Targeting interleukin-6 as a treatment approach for peritoneal carcinomatosis. J. Transl. Med 22, 402 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Bootsma S, Bijlsma MF & Vermeulen L The molecular biology of peritoneal metastatic disease. EMBO Mol. Med 15, e15914 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Gilbreath JJ et al. A core microbiome associated with the peritoneal tumors of pseudomyxoma peritonei. Orphanet J. Rare Dis 8, 105 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Pattalachinti VK et al. Peritoneal microenvironment promotes appendiceal adenocarcinoma growth: a multi-omics approach using patient-derived xenografts. Mol. Cancer Res 22, 329–336 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]; This study shows that the peritoneal TME promotes the growth of appendiceal tumours and upregulates genes related to cell proliferation in orthotopic and flank-implanted PDXs.
  • 67.Lohani K et al. Pseudomyxoma peritonei: inflammatory responses in the peritoneal microenvironment. Ann. Surg. Oncol 21, 1441–1447 (2014). [DOI] [PubMed] [Google Scholar]
  • 68.Rehman M et al. Molecular profiling and characterization of the tumor immune microenvironment (TME) in appendiceal carcinoma (AC). J. Clin. Oncol 41, 3622 (2023). [Google Scholar]
  • 69.Benesch MGK & Mathieson A Epidemiology of signet ring cell adenocarcinomas. Cancers 12, 1544 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Enblad M et al. Signet ring cell colorectal and appendiceal cancer: a small signet ring cell component is also associated with poor outcome. Cancers 15, 2497 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Volynskaya Z, Evans AJ & Asa SL Clinical applications of whole-slide imaging in anatomic pathology. Adv. Anat. Pathol 24, 215–221 (2017). [DOI] [PubMed] [Google Scholar]
  • 72.Evans AJ, Vajpeyi R, Henry M & Chetty R Establishment of a remote diagnostic histopathology service using whole slide imaging (digital pathology). J. Clin. Pathol 74, 421–424 (2021). [DOI] [PubMed] [Google Scholar]
  • 73.Gross DJ et al. Strong job market for pathologists: results from the 2021 college of American Pathologists Practice Leader Survey. Arch. Pathol. Lab. Med 147, 434–441 (2023). [DOI] [PubMed] [Google Scholar]
  • 74.Wilbur DC et al. Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations. Arch. Pathol. Lab. Med 133, 1949–1953 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Romero Lauro G et al. Digital pathology consultations — a new era in digital imaging, challenges and practical applications. J. Digit. Imaging 26, 668–677 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Ayad E & Yagi Y Virtual microscopy beyond the pyramids, applications of WSI in Cairo University for E-education & telepathology. Anal. Cell Pathol 35, 93–95 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Zhao C et al. International telepathology consultation: three years of experience between the University of Pittsburgh Medical Center and KingMed Diagnostics in China. J. Pathol. Inform 6, 63 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Echle A et al. Deep learning in cancer pathology: a new generation of clinical biomarkers. Br. J. Cancer 124, 686–696 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Schmauch B et al. A deep learning model to predict RNA-seq expression of tumours from whole slide images. Nat. Commun 11, 3877 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Fu Y et al. Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis. Nat. Cancer 1, 800–810 (2020). [DOI] [PubMed] [Google Scholar]
  • 81.Kather JN et al. Pan-cancer image-based detection of clinically actionable genetic alterations. Nat. Cancer 1, 789–799 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Coudray N et al. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat. Med 24, 1559–1567 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Eminaga O et al. Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology. Sci. Rep 14, 5284 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Liu Y, Han D, Parwani AV & Li Z Applications of artificial intelligence in breast pathology. Arch. Pathol. Lab. Med 147, 1003–1013 (2023). [DOI] [PubMed] [Google Scholar]
  • 85.Echle A et al. Clinical-grade detection of microsatellite instability in colorectal tumors by deep learning. Gastroenterology 159, 1406–1416.e11 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Sirinukunwattana K et al. Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning. Gut 70, 544–554 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Goswami RS et al. Identification of factors affecting the success of next-generation sequencing testing in solid tumors. Am. J. Clin. Pathol 145, 222–237 (2016). [DOI] [PubMed] [Google Scholar]
  • 88.Moaven O et al. Clinical implications of genetic signatures in appendiceal cancer patients with incomplete cytoreduction/HIPEC. Ann. Surg. Oncol 27, 5016–5023 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Takane K et al. Genome-wide analysis of DNA methylation in pseudomyxoma peritonei originated from appendiceal neoplasms. Oncology 102, 720–731 (2024). [DOI] [PubMed] [Google Scholar]; This study investigates global DNA methylation profiles in 15 PMP tumours of appendiceal origin and identifies two distinct epigenotypes, supporting the need for large-scale, multi-omics studies of appendiceal tumours that include the epigenome.
  • 90.Wild CP Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol. Biomark. Prev 14, 1847–1850 (2005). [DOI] [PubMed] [Google Scholar]
  • 91.Peters A, Nawrot TS & Baccarelli AA Hallmarks of environmental insults. Cell 184, 1455–1468 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Holowatyj AN, Perea J & Lieu CH Gut instinct: a call to study the biology of early-onset colorectal cancer disparities. Nat. Rev. Cancer 21, 339–340 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Royal CD et al. Inferring genetic ancestry: opportunities, challenges, and implications. Am. J. Hum. Genet 86, 661–673 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Mata DA, Rotenstein LS, Ramos MA & Jena AB Disparities according to genetic ancestry in the use of precision oncology assays. N. Engl. J. Med 388, 281–283 (2023). [DOI] [PubMed] [Google Scholar]
  • 95.Hoadley A et al. The role of medical mistrust in concerns about tumor genomic profiling among Black and African American cancer patients. Int. J. Environ. Res. Public Health 19, 2598 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Hornstein NJ et al. Efficacy and safety of atezolizumab and bevacizumab in appendiceal adenocarcinoma. Cancer Res. Commun 4, 1363–1368 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Avila Cobos F, Alquicira-Hernandez J, Powell JE, Mestdagh P & De Preter K Benchmarking of cell type deconvolution pipelines for transcriptomics data. Nat. Commun 11, 5650 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Byron A, Humphries JD & Humphries MJ Defining the extracellular matrix using proteomics. Int. J. Exp. Pathol 94, 75–92 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Villemin C et al. The heightened importance of the microbiome in cancer immunotherapy. Trends Immunol 44, 44–59 (2023). [DOI] [PubMed] [Google Scholar]
  • 100.Galon J & Bruni D Approaches to treat immune hot, altered and cold tumours with combination immunotherapies. Nat. Rev. Drug Discov 18, 197–218 (2019). [DOI] [PubMed] [Google Scholar]
  • 101.Merino MJ, Edmonds P & LiVolsi V Appendiceal carcinoma metastatic to the ovaries and mimicking primary ovarian tumors. Int. J. Gynecol. Pathol 4, 110–120 (1985). [DOI] [PubMed] [Google Scholar]
  • 102.Calabro ML, Lazzari N, Rigotto G, Tonello M & Sommariva A Role of epithelial-mesenchymal plasticity in pseudomyxoma peritonei: implications for locoregional treatments. Int. J. Mol. Sci 21, 9120 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Elias D et al. Modified selection criteria for complete cytoreductive surgery plus HIPEC based on peritoneal cancer index and small bowel involvement for peritoneal carcinomatosis of colorectal origin. Eur. J. Surg. Oncol 40, 1467–1473 (2014). [DOI] [PubMed] [Google Scholar]
  • 104.Wagner PL et al. Characterizing the immune environment in peritoneal carcinomatosis: insights for novel immunotherapy strategies. Ann. Surg. Oncol 31, 2069–2077 (2024). [DOI] [PubMed] [Google Scholar]
  • 105.Ramos C, Gerakopoulos V & Oehler R Metastasis-associated fibroblasts in peritoneal surface malignancies. Br. J. Cancer 131, 407–419 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Ulrich CM, Himbert C, Holowatyj AN & Hursting SD Energy balance and gastrointestinal cancer: risk, interventions, outcomes and mechanisms. Nat. Rev. Gastroenterol. Hepatol 15, 683–698 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Holowatyj AN et al. Multi-omics analysis reveals adipose-tumor crosstalk in patients with colorectal cancer. Cancer Prev. Res 13, 817–828 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Natsume M et al. Omental adipocytes promote peritoneal metastasis of gastric cancer through the CXCL2-VEGFA axis. Br. J. Cancer 123, 459–470 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Liu K et al. Peritoneal high-fat environment promotes peritoneal metastasis of gastric cancer cells through activation of NSUN2-mediated ORAI2 m5C modification. Oncogene 42, 1980–1993 (2023). [DOI] [PubMed] [Google Scholar]
  • 110.Watson PH Biospecimen complexity — the next challenge for cancer research biobanks? Clin. Cancer Res 23, 894–898 (2017). [DOI] [PubMed] [Google Scholar]
  • 111.Wajih N et al. Enhancing the efficacy of HIPEC through bromelain: a preclinical investigation in appendiceal cancer. Ann. Surg. Oncol 31, 5377–5389 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Votanopoulos KI et al. Appendiceal cancer patient-specific tumor organoid model for predicting chemotherapy efficacy prior to initiation of treatment: a feasibility study. Ann. Surg. Oncol 26, 139–147 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]; This study demonstrates the feasibility of biofabricating organoids from metastatic peritoneal tissues of LAMN and HAMN origin for personalized drug screening.
  • 113.Forsythe SD et al. Organoid platform in preclinical investigation of personalized immunotherapy efficacy in appendiceal cancer: feasibility study. Clin. Cancer Res 27, 5141–5150 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Forsythe SD et al. Personalized identification of optimal HIPEC perfusion protocol in patient-derived tumor organoid platform. Ann. Surg. Oncol 27, 4950–4960 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Kapalczynska M et al. 2D and 3D cell cultures — a comparison of different types of cancer cell cultures. Arch. Med. Sci 14, 910–919 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Ravi M, Paramesh V, Kaviya SR, Anuradha E & Solomon FD 3D cell culture systems: advantages and applications. J. Cell Physiol 230, 16–26 (2015). [DOI] [PubMed] [Google Scholar]
  • 117.Drost J & Clevers H Organoids in cancer research. Nat. Rev. Cancer 18, 407–418 (2018). [DOI] [PubMed] [Google Scholar]
  • 118.Weitz J et al. An ex vivo organotypic culture platform for functional interrogation of human appendiceal cancer reveals a prominent and heterogenous immunological landscape. Clin. Cancer Res 28, 4793–4806 (2022). [DOI] [PubMed] [Google Scholar]; This study utilizes an ex vivo slice model to study cellular interactions within the peritoneal TME of appendiceal origin, and delivers a new approach for interrogating appendiceal tumour pathophysiology and therapeutics in the preclinical setting.
  • 119.Weitz J et al. Cyclin-dependent kinase 4/6 inhibition as a novel therapy for peritoneal mucinous carcinomatosis with GNAS mutations. J. Clin. Oncol 10.1200/JCO.24.00511 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Leung CM et al. A guide to the organ-on-a-chip. Nat. Rev. Methods Primers 2, 33 (2022). [Google Scholar]
  • 121.Chua TC, Akther J, Yao P & Morris DL In vivo model of pseudomyxoma peritonei for novel candidate drug discovery. Anticancer. Res 29, 4051–4055 (2009). [PubMed] [Google Scholar]
  • 122.Dohan A et al. Orthotopic animal model of pseudomyxoma peritonei: an in vivo model to test anti-angiogenic drug effects. Am. J. Pathol 184, 1920–1929 (2014). [DOI] [PubMed] [Google Scholar]
  • 123.Vazquez-Borrego MC et al. Antitumor effect of a small-molecule inhibitor of KRAS(G12D) in xenograft models of mucinous appendicular neoplasms. Exp. Hematol. Oncol 12, 102 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Mavanur AA et al. Establishment and characterization of a murine xenograft model of appendiceal mucinous adenocarcinoma. Int. J. Exp. Pathol 91, 357–367 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.The Jackson Laboratory. Mouse Models of Human Cancer Database: PDX model details TM00351. JAX https://tumor.informatics.jax.org/mtbwi/pdxDetails.do?modelID=TM00351 (2024). [Google Scholar]
  • 126.Kuracha MR, Thomas P, Loggie BW & Govindarajan V Patient-derived xenograft mouse models of pseudomyxoma peritonei recapitulate the human inflammatory tumor microenvironment. Cancer Med 5, 711–719 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Flatmark K et al. Exploring the peritoneal surface malignancy phenotype — a pilot immunohistochemical study of human pseudomyxoma peritonei and derived animal models. Hum. Pathol 41, 1109–1119 (2010). [DOI] [PubMed] [Google Scholar]
  • 128.Flatmark K et al. Pseudomyxoma peritonei — two novel orthotopic mouse models portray the PMCA-I histopathologic subtype. BMC Cancer 7, 116 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Holowatyj Laboratory. Genetics of Appendix Cancer (GAP) Study. VUMC https://www.gapcancerstudy.org (2022). [Google Scholar]
  • 130.US National Library of Medicine. ClinicalTrials.gov https://www.clinicaltrials.gov/study/NCT05734430 (2024). [DOI] [PubMed]
  • 131.National Comprehensive Cancer Network. NCCN guidelines: colon cancer. NCCN https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1428 (2025). [Google Scholar]
  • 132.Shen JP et al. Efficacy of systemic chemotherapy in patients with low-grade mucinous appendiceal adenocarcinoma: a randomized crossover trial. JAMA Netw. Open 6, e2316161 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Ghelardi F et al. Mytomicin-C, metronomic capecitabine, and bevacizumab in patients with unresectable or relapsed pseudomyxoma peritonei of appendiceal origin. Clin. Colorectal Cancer 22, 450–456.e1 (2023). [DOI] [PubMed] [Google Scholar]
  • 134.White MG et al. Treatment variation and long-term outcomes of low-grade appendiceal neoplasms. Ann. Surg. Oncol 30, 8138–8143 (2023). [DOI] [PubMed] [Google Scholar]
  • 135.Gonzalez-Moreno S & Sugarbaker PH Right hemicolectomy does not confer a survival advantage in patients with mucinous carcinoma of the appendix and peritoneal seeding. Br. J. Surg 91, 304–311 (2004). [DOI] [PubMed] [Google Scholar]
  • 136.Asare EA et al. The impact of stage, grade, and mucinous histology on the efficacy of systemic chemotherapy in adenocarcinomas of the appendix: analysis of the National Cancer Data Base. Cancer 122, 213–221 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Austin F et al. Aggressive management of peritoneal carcinomatosis from mucinous appendiceal neoplasms. Ann. Surg. Oncol 19, 1386–1393 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Quenet F et al. Cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy versus cytoreductive surgery alone for colorectal peritoneal metastases (PRODIGE 7): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol 22, 256–266 (2021). [DOI] [PubMed] [Google Scholar]
  • 139.Goere D et al. Second-look surgery plus hyperthermic intraperitoneal chemotherapy versus surveillance in patients at high risk of developing colorectal peritoneal metastases (PROPHYLOCHIP-PRODIGE 15): a randomised, phase 3 study. Lancet Oncol 21, 1147–1154 (2020). [DOI] [PubMed] [Google Scholar]
  • 140.Zwanenburg ES et al. Adjuvant hyperthermic intraperitoneal chemotherapy in patients with locally advanced colon cancer (COLOPEC): 5-year results of a randomized multicenter trial. J. Clin. Oncol 42, 140–145 (2024). [DOI] [PubMed] [Google Scholar]
  • 141.Ba M et al. Cytoreductive surgery and HIPEC for malignant ascites from colorectal cancer — a randomized study. Medicine 99, e21546 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Gilly FN et al. Treatment of malignant peritoneal effusion in digestive and ovarian cancer. Med. Oncol. Tumor Pharmacother 9, 177–181 (1992). [DOI] [PubMed] [Google Scholar]
  • 143.Sugarbaker PH Management of peritoneal-surface malignancy: the surgeon’s role. Langenbecks Arch. Surg 384, 576–587 (1999). [DOI] [PubMed] [Google Scholar]
  • 144.Jacquet P & Sugarbaker PH Clinical research methodologies in diagnosis and staging of patients with peritoneal carcinomatosis. Cancer Treat. Res 82, 359–374 (1996). [DOI] [PubMed] [Google Scholar]
  • 145.Dineen SP et al. A simplified preoperative assessment predicts complete cytoreduction and outcomes in patients with low-grade mucinous adenocarcinoma of the appendix. Ann. Surg. Oncol 22, 3640–3646 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Dohan A et al. Evaluation of the peritoneal carcinomatosis index with CT and MRI. Br. J. Surg 104, 1244–1249 (2017). [DOI] [PubMed] [Google Scholar]
  • 147.Kulke MH et al. Future directions in the treatment of neuroendocrine tumors: consensus report of the National Cancer Institute Neuroendocrine Tumor clinical trials planning meeting. J. Clin. Oncol 29, 934–943 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Valle SJ et al. A novel treatment of bromelain and acetylcysteine (BromAc) in patients with peritoneal mucinous tumours: a phase I first in man study. Eur. J. Surg. Oncol 47, 115–122 (2021). [DOI] [PubMed] [Google Scholar]
  • 149.More A et al. Oncogene addiction to GNAS in GNAS(R201) mutant tumors. Oncogene 41, 4159–4168 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Holderfield M et al. Concurrent inhibition of oncogenic and wild-type RAS-GTP for cancer therapy. Nature 629, 919–926 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Pittell H et al. Racial and ethnic inequities in US oncology clinical trial participation from 2017 to 2022. JAMA Netw. Open 6, e2322515 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Francescutti VA et al. Characterizing the patient experience of CS/HIPEC through in-depth interviews with patients: identification of key concepts in the development of a patient-centered program. Ann. Surg. Oncol 26, 1063–1070 (2019). [DOI] [PubMed] [Google Scholar]
  • 153.Mercieca-Bebber R, King MT, Calvert MJ, Stockler MR & Friedlander M The importance of patient-reported outcomes in clinical trials and strategies for future optimization. Patient Relat. Outcome Meas 9, 353–367 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Moaven O et al. Health-related quality of life after cytoreductive surgery/HIPEC for mucinous appendiceal cancer: results of a multicenter randomized trial comparing oxaliplatin and mitomycin. Ann. Surg. Oncol 27, 772–780 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Locker GY et al. ASCO 2006 update of recommendations for the use of tumor markers in gastrointestinal cancer. J. Clin. Oncol 24, 5313–5327 (2006). [DOI] [PubMed] [Google Scholar]
  • 156.Ross A, Sardi A, Nieroda C, Merriman B & Gushchin V Clinical utility of elevated tumor markers in patients with disseminated appendiceal malignancies treated by cytoreductive surgery and HIPEC. Eur. J. Surg. Oncol 36, 772–776 (2010). [DOI] [PubMed] [Google Scholar]
  • 157.Yousef A et al. Serum tumor markers and outcomes in patients with appendiceal adenocarcinoma. JAMA Netw. Open 7, e240260 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]; This retrospective cohort study shows that CEA, CA19-9 and CA125 are all associated with overall survival of patients with appendiceal adenocarcinomas, which emphasizes the use of all three biomarkers in the clinical workup and surveillance for these patients, as well as the need to discover novel disease-specific biomarkers in this rare tumour setting.
  • 158.Baratti D et al. Prognostic value of circulating tumor markers in patients with pseudomyxoma peritonei treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. Ann. Surg. Oncol 14, 2300–2308 (2007). [DOI] [PubMed] [Google Scholar]
  • 159.Carmignani CP, Hampton R, Sugarbaker CE, Chang D & Sugarbaker PH Utility of CEA and CA 19–9 tumor markers in diagnosis and prognostic assessment of mucinous epithelial cancers of the appendix. J. Surg. Oncol 87, 162–166 (2004). [DOI] [PubMed] [Google Scholar]
  • 160.Nizam W et al. Prognostic significance of preoperative tumor markers in pseudomyxoma peritonei from low-grade appendiceal mucinous neoplasm: a study from the US HIPEC collaborative. J. Gastrointest. Surg 26, 414–424 (2022). [DOI] [PubMed] [Google Scholar]
  • 161.Canbay E et al. Preoperative carcinoembryonic antigen level predicts prognosis in patients with pseudomyxoma peritonei treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. World J. Surg 37, 1271–1276 (2013). [DOI] [PubMed] [Google Scholar]
  • 162.Dhiman A et al. Role of tumor-informed personalized circulating tumor DNA assay in informing recurrence in patients with peritoneal metastases from colorectal and high-grade appendix cancer undergoing curative-intent surgery. Ann. Surg 278, 925–931 (2023). [DOI] [PubMed] [Google Scholar]
  • 163.Baumgartner JM et al. Preoperative circulating tumor DNA in patients with peritoneal carcinomatosis is an independent predictor of progression-free survival. Ann. Surg. Oncol 25, 2400–2408 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Singh H et al. Highly sensitive circulating tumor DNA assay aids clinical management of radiographically occult isolated peritoneal metastases in patients with GI cancer. JCO Precis. Oncol 7, e2200572 (2023). [DOI] [PubMed] [Google Scholar]
  • 165.Baumgartner JM & Botta GP Role of circulating tumor DNA among patients with colorectal peritoneal metastases. J. Gastrointest. Cancer 55, 41–46 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Belmont E et al. Multi-institutional study evaluating the role of circulating tumor DNA in the management of appendiceal cancers. JCO Precis. Oncol 8, e2300531 (2024). [DOI] [PubMed] [Google Scholar]; This multi-centre study of the utility of ctDNA identifies the detection of ctDNA with high accuracy in disease recurrence after a complete CRS for patients with grade 2–3 appendiceal tumours with peritoneal disease spread, and the study supports a role for ctDNA detection in the clinical management of these patients.
  • 167.Brassil M et al. Appendiceal tumours — a correlation of CT features and histopathological diagnosis. J. Med. Imaging Radiat. Oncol 66, 92–101 (2022). [DOI] [PubMed] [Google Scholar]
  • 168.Kangaspunta H et al. Preoperative computed tomography is poor in detecting tumors of the appendix among patients with acute appendicitis: a cohort study of 5,224 appendectomies. J. Trauma Acute Care Surg 88, 396–401 (2020). [DOI] [PubMed] [Google Scholar]
  • 169.Sagebiel TL et al. Utility of appendiceal calcifications detected on computed tomography as a predictor for an underlying appendiceal epithelial neoplasm. Ann. Surg. Oncol 24, 3667–3672 (2017). [DOI] [PubMed] [Google Scholar]
  • 170.Abreu AA et al. Cost analysis and financial implications of a peritoneal surface malignancy program in the USA. Ann. Surg. Oncol 31, 630–644 (2024). [DOI] [PubMed] [Google Scholar]
  • 171.Solsky I et al. Distance traveled and disparities in patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. Ann. Surg. Oncol 31, 1035–1048 (2024). [DOI] [PubMed] [Google Scholar]; This single-centre database study shows that over half of 1,614 patients, inclusive of patients with appendiceal tumours, travelled farther than 100 miles for CRS ± HIPEC, which may lead to disparities in appendiceal tumour outcomes that are partly attributable to access to care and time to treatment.
  • 172.Ong CT et al. Insurance authorization barriers in patients undergoing cytoreductive surgery and HIPEC. Ann. Surg. Oncol 30, 417–422 (2023). [DOI] [PubMed] [Google Scholar]
  • 173.Vierra M et al. Fragmentation of care in patients with peritoneal metastases undergoing cytoreductive surgery. Ann. Surg. Oncol 31, 645–654 (2024). [DOI] [PubMed] [Google Scholar]
  • 174.Islami F et al. Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States, 2019. CA Cancer J. Clin 74, 405–432 (2024). [DOI] [PubMed] [Google Scholar]
  • 175.National Cancer Institute, Division of Cancer Control and Population Sciences. Appendiceal Cancer Consortium (APPECC). NCI-DCCPS https://epi.grants.cancer.gov/cohort-consortium/projecthub/activeprojects/project-proposal/33/ (2024). [Google Scholar]
  • 176.Jairam V & Park HS Strengths and limitations of large databases in lung cancer radiation oncology research. Transl. Lung Cancer Res 8, S172–S183 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Bever AM & Song M Early-life exposures and adulthood cancer risk: a life course perspective. J. Natl Cancer Inst 115, 4–7 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.PSM Writing Group, PSM Consortium Group & Turaga KK Consensus guideline for the management of malignant gastrointestinal obstruction in patients with peritoneal surface malignancies. Preprint at medRxiv 10.1101/2024.04.09.24305427 (2024). [DOI] [PubMed] [Google Scholar]
  • 179.Chicago Consensus Working Group. The Chicago Consensus on peritoneal surface malignancies: palliative care considerations. Ann. Surg. Oncol 27, 1798–1804 (2020). [DOI] [PubMed] [Google Scholar]; These consensus guidelines provide multidisciplinary recommendations for palliative care among patients with peritoneal surface malignancies, which include appendix tumours.
  • 180.Balachandran R, Thaysen HV, Christensen P, Zachariae R & Iversen LH Biopsychosocial late effects after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for peritoneal metastases from colorectal and appendiceal cancer: a national prospective cohort study. Ann. Surg. Oncol 31, 1959–1969 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Kung V et al. Health related quality of life is excellent and sustained at two decades after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy in survivors of pseudomyxoma peritonei of appendiceal origin. Eur. J. Surg. Oncol 49, 107045 (2023). [DOI] [PubMed] [Google Scholar]
  • 182.Tsilimparis N et al. Quality of life in patients after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: is it worth the risk. Ann. Surg. Oncol 20, 226–232 (2013). [DOI] [PubMed] [Google Scholar]
  • 183.McQuellon RP et al. Survival and health outcomes after cytoreductive surgery with intraperitoneal hyperthermic chemotherapy for disseminated peritoneal cancer of appendiceal origin. Ann. Surg. Oncol 15, 125–133 (2008). [DOI] [PubMed] [Google Scholar]
  • 184.Dodson RM et al. Quality-of-life evaluation after cytoreductive surgery with hyperthermic intraperitoneal chemotherapy. Ann. Surg. Oncol 23, 772–783 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Duckworth KE et al. Caregiver quality of life before and after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. J. Am. Coll. Surg 230, 679–687 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Sneider AP et al. Palliative care and characterization of symptoms in patients undergoing cytoreductive surgery/hyperthermic intraperitoneal chemotherapy. J. Surg. Res 283, 1154–1160 (2023). [DOI] [PubMed] [Google Scholar]
  • 187.Morris RS et al. Factors associated with palliative care use in patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. J. Surg. Res 211, 79–86 (2017). [DOI] [PubMed] [Google Scholar]
  • 188.Morton LM, Onel K, Curtis RE, Hungate EA & Armstrong GT The rising incidence of second cancers: patterns of occurrence and identification of risk factors for children and adults. Am. Soc. Clin. Oncol. Educ. Book 34, e57–e67 (2014). [DOI] [PubMed] [Google Scholar]
  • 189.Robison LL & Hudson MM Survivors of childhood and adolescent cancer: life-long risks and responsibilities. Nat. Rev. Cancer 14, 61–70 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Chen JC et al. Outcomes of neoadjuvant chemotherapy before CRS-HIPEC for patients with appendiceal cancer. J. Surg. Oncol 122, 388–398 (2020). [DOI] [PubMed] [Google Scholar]
  • 191.Gamboa AC et al. Implications of postoperative complications for survival after cytoreductive surgery and HIPEC: a multi-institutional analysis of the US HIPEC collaborative. Ann. Surg. Oncol 27, 4980–4995 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.SenthilKumar G et al. Prediction of early recurrence following CRS/HIPEC in patients with disseminated appendiceal cancer. J. Surg. Res 292, 275–288 (2023). [DOI] [PubMed] [Google Scholar]
  • 193.Arnold CA et al. Knowledge gaps in the appendix: a multi-institutional study from seven academic centers. Mod. Pathol 32, 988–996 (2019). [DOI] [PubMed] [Google Scholar]
  • 194.Baumgartner JM et al. A multi-institutional study of peritoneal recurrence following resection of low-grade appendiceal mucinous neoplasms. Ann. Surg. Oncol 28, 4685–4694 (2021). [DOI] [PubMed] [Google Scholar]
  • 195.Misdraji J et al. in WHO Classification of Tumours Series 5th edn Vol. 4 Ch. 34 (IARC, 2024). [Google Scholar]

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