Abstract
Purpose
This review aims to provide a comprehensive overview of the latest literature on personalized lung cancer management using different ligands and radionuclide-based tumor-targeting agents.
Background
Lung cancer is the leading cause of cancer-related deaths worldwide. Due to the heterogeneity of lung cancer, advances in precision medicine may enhance the disease management landscape. More recently, theranostics using the same molecule labeled with two different radionuclides for imaging and treatment has emerged as a promising strategy for systemic cancer management. In radionuclide-based theranostics, the target, ligand, and radionuclide should all be carefully considered to achieve an accurate diagnosis and optimal therapeutic effects for lung cancer.
Methods
We summarize the latest radiotracers and radioligand therapeutic agents used in diagnosing and treating lung cancer. In addition, we discuss the potential clinical applications and limitations associated with target-dependent radiotracers as well as therapeutic radionuclides. Finally, we provide our views on the perspectives for future development in this field.
Conclusions
Radionuclide-based theranostics show great potential in tailored medical care. We expect that this review can provide an understanding of the latest advances in radionuclide therapy for lung cancer and promote the application of radioligand theranostics in personalized medicine.
Keywords: Molecular imaging, Radioligand theranostics (RLT), Personalized medicine, Cancer therapy
Introduction
Lung cancer (LC) is the second most common cancer in the world and is the leading cause of cancer-related deaths. LC contributes to 11.4% of all new cancer cases and 18.0% of all cancer-related deaths [1]. Non-small cell lung cancer (NSCLC) accounts for 85% of pulmonary neoplasms with several classifications, including adenocarcinoma, squamous cell carcinomas, and large cell carcinomas [2, 3]. The remaining 15% of neoplasms are identified as either limited or extensive small cell lung cancer (SCLC) [4]. Many studies have shown that early detection, precise classification, and personalized therapy are all key to reducing mortality from LC and thus improving patient outcome [5, 6].
Nowadays, molecular imaging, especially positron emission tomography (PET)/single photon emission computed tomography (SPECT), has become an essential imaging approach for oncologic detection [7]. In this context, various probes, such as 18F-FDG, 18F-FLT, and 11C-methionine, have been developed to visualize tumors. They are critical in diagnosing LC and valuable in clinical staging, therapeutic monitoring, and prognostic assessment of LC [8]. However, the specificity and sensitivity of most probes (e.g., 18F-FDG) are limited, hardly monitoring the changes in tumor molecular biomarkers (e.g., the expressing level of immune checkpoints) or portraying the tumor microenvironment (TME) (e.g., the level of vascular abundance and immune cell infiltration) [9, 10]. Therefore, tumor cell or TME target-based PET/SPECT imaging allows for further non-invasive detection of LC-specific biomarkers and provides multi-dimensional disease information, ranging from subtypes to metastases, to guide subsequent personalized therapy of pulmonary neoplasms [11, 12].
As for the therapy, surgery is recommended for early and resectable locally advanced NSCLC. For NSCLC patients with multiple metastases who cannot undergo surgical resection, radiotherapy, chemotherapy, or systemic combination therapy are viable alternatives [13, 14]. For patients with either limited or extensive SCLC, these therapies are more routinely used, while surgery is rarely applied [15]. However, a series of severe side effects and adverse reactions may occur as a result of the therapies [16–18]. Therefore, advanced therapeutic strategies have become the focus of clinical oncology treatment. For example, immunotherapy, including immune checkpoint inhibitors, cellular immunotherapy, and cytokine therapy, can activate the immune system to suppress and prevent tumor growth in the immunosuppressive microenvironment [19]. Dozens of immunotherapeutic drugs have been approved and have prolonged the survival of cancer patients [20, 21]. Nevertheless, drug resistance invariably occurs due to tumor mutations [22]. Personalized or precision medicine has been proposed to overcome the inherent limitations of existing therapies. Radioligand theranostics (RLT) has shown enormous potential as a newly emerged approach for managing LC [23].
Iodine-131 was first used to treat differentiated thyroid cancer back in the 1940s, given the innate ability of thyroid cancer cells to take up iodine [24]. This advancement has shaped the field of radionuclide-based cancer therapy, and significant achievements in radionuclide therapy have since been made [25]. For example, RLT agents targeting somatostatin receptor 2 (SSTR2) have been successfully used in clinical practice, markedly prolonging progression-free survival (PFS) and overall survival (OS) in patients with neuroendocrine tumors (NETs) [26]. Nevertheless, suitable radioligands and targets have only been identified for a handful of cancers. In general, RLT needs specific targeting ligands (e.g., antibodies, proteins, peptides, and small molecules) to effectively deliver radionuclides to the tumor cells or TME [27]. Currently, the available radionuclides for RLT include three major types of particulate radiation: α-particles (e.g., 225Ac, 227Th, 213Bi, and 211At), β-particles (e.g., 177Lu, 131I, 188Re, 186Re, 90Y, and 166Ho), and auger electrons (e.g., 111In and 125I). Some of these radionuclides can also emit γ rays (e.g., 177Lu, 131I, and 111In) for synchronic imaging and therapy [28, 29]. Some RLT agents have been approved for clinical use, such as 177Lu-DOTATATE (Lutathera), 131I-metaiodobenzylguanidine (131I-MIBG) (Azedra), and 90Y-ibritumomab tiuxetan (Zevalin) for the treatment of NETs, neuroblastoma, and non-Hodgkin lymphoma, respectively [30, 31]. Furthermore, there are several potential RLT agents being tested in clinical trials for treating prostate cancer, glioblastoma, breast cancer, and pancreatic ductal adenocarcinoma [32–34]. Currently, 177Lu-DOTATATE, which targets SSTR2, and 177Lu-FAP-2286, which targets fibroblast activating protein (FAP), show great therapeutic potential in pulmonary NETs and lung squamous cell carcinoma, respectively [35, 36]. Overall, the development of novel RLT agents with good safety profile, high treatment efficacy, and wide targeting capability is ongoing. This effort may help to better manage LC patients in the future.
In the first part of this review, we summarize the available molecular/cellular targets and radiotracers for PET/SPECT imaging of LC. In the later section, we discuss the recent applications of RLT agents in LC treatment. Lastly, we provide our advice on the selection of ideal targets, radiotracers, and radiotherapeutic agents for optimal molecular diagnosis and targeted therapy of LC.
Selection of optimal targets for theranostics of LC
Radionuclide-based tumor-targeting imaging provides diagnostic applications and a deeper insight into tumor biology (including tumor immune microenvironment and vascular abundance), which could assist in staging and restaging patients and predict treatment response [37]. Therefore, the identification of LC-specific targets is vital for the diagnosis and personalized therapy of pulmonary neoplasms (Fig. 1). As such, optimal targets would greatly ensure the efficacy of LC theranostics (Table 1).
Fig. 1.

Potential biomarkers in pulmonary tumors for PET or SPECT imaging and representative ligands and radionuclides for RLT. Abbreviations: PD-1/PD-L1, programmed cell death protein-1/ligand-1; EGFR, epidermal growth factor receptor; TIGIT, T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif (ITIM) domain; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; FAP, fibroblast activation protein; FRα, folate receptor alpha; CD166, activated leukocyte cell adhesion molecule; SSTR2, somatostatin receptor 2; NRP-2, neuropilin receptor type-2; CXCR4, CXC chemokine receptor 4; VEGFR-2, vascular endothelial growth factor receptor-2; c-Met, the receptor of hepatocyte growth factor; TAM, tumor-associated macrophages; mAbs, monoclonal antibodies; sdAbs, single-domain antibodies; HCAb, heavy chain-only antibody
Table 1.
Overview of targets and properties of tracers for PET/SPECT imaging of lung cancer
| Targets | Location | Tracers | Properties | Classification (cell lines) | Tumor uptake | Study type | Ref | 
|---|---|---|---|---|---|---|---|
| 
 | |||||||
| PD-L1 | T | 89Zr-atezolizumab | mAbs | NSCLC | Median SUVmax: 9.7 | C | [43] | 
| 89Zr-durvalumab | mAbs | NSCLC | Median SUVmax: 4.9 | C | [44] | ||
| 68Ga-NOTA-WL12 | Peptides | NSCLC | SUVmax: 4.9 TBR: 4.9 | C | [55] | ||
| 18F-BMS-986192 | Proteins | NSCLC | Median SUVmax: 6.5 | C | [57] | ||
| 99mTc-NM-01 | sdAbs | NSCLC | TBR: 2.3 | C | [54] | ||
| 89Zr-DFO-REGN3504 | mAbs | NSCLC (NCI-H441, HCC827) | %ID/g: 52.3 (NCI-H441) %ID/g: 38.7 (HCC827) | P | [45] | ||
| 89Zr-DFO-6E11 | mAbs | NSCLC (HCC827) | %ID/g: 5.1 TBR: 12.8 | P | [46] | ||
| 89Zr-C4 | mAbs | NSCLC (PDX, A549) | %ID/g: 5.0 | P | [47] | ||
| 64Cu-NOTA-rhPD1 | Proteins | NSCLC (HCC827) | %ID/g: 9.0 TBR: 14.5 | P | [50] | ||
| 124I-SIB-SHR-1316 | mAbs | NSCLC (PDX) | SUV: ~0.5 TBR: 5.3 | P | [48] | ||
| 64Cu-NOTA-Nb6 | HCAb | NSCLC (A549) | TBR: 2.1 | P | [118] | ||
| 89Zr-avelumab | mAbs | NSCLC (HCC827) | In vitro | P | [49] | ||
| CCK-2R | T | 111In-IP-001 | Small molecules | NSCLC (A549) | %IA/g: 2.4 TBR: 15.7 | P | [119] | 
| EGFR | T | 11C-erlotinib | Small molecules | NSCLC | VT: 1.8 (Mutant) VT: 1.1 (Wild-type) | C | [71] | 
| 18F-IRS | Small molecules | NSCLC | SUVmax: 2.4 (Mutant) | C | [69] | ||
| 11C-PD153035 | Small molecules | NSCLC | SUVmax ≥ 2.9 | C | [72] | ||
| 18F-MPG | Small molecules | NSCLC | SUVmax ≥ 2.2 (Mutant) SUVmax < 2.2 (Wild-type) | C | [73] | ||
| 18F-afatinib | Small molecules | NSCLC | TBR ≥ 6.0 (Mutant) TBR < 6 (Wild-type) | C | [120] | ||
| 89Zr-cetuximab | mAbs | NSCLC | SUVmax: 1.18—4.74 | C | [121] | ||
| 18F-FEA-erlotinib | Small molecules | NSCLC (HCC827) | %ID/g: 0.7 TBR: 1.4 | P | [122] | ||
| 18F-icotinib | Small molecules | NSCLC (A549) | %ID/g: 0.9 | P | [123] | ||
| 
111In-DOTA-cetuximab 64Cu-DOTA-cetuximab  | 
mAbs | NSCLC (HCC827) | %ID/g: 26.9 (111In-DOTA-cetuximab) SUVmean: 4.4 (64Cu-DOTA-cetuximab) | P | [124] | ||
| c-Met | T | 89Zr-DFO-H2 | Diabodies | NSCLC (HCC827, HCC827-GR6) | %ID/g: 1.1 (HCC827) %ID/g: 1.8 (HCC827-GR6) | P | [125] | 
| 99mTc-HYNIC-Cmbp | Peptides | NSCLC (H1993) | %ID/g: 4.7 | P | [126] | ||
| 18F-FPC | Small molecules | NSCLC (H1993) | %ID/g: 2.5 TBR: 2.4 | P | [127] | ||
| 89Zr-Onartuzumab | mAbs | NSCLC (HCC827, HCC827ErlRes) | %ID/g: 30.2 (HCC827) %ID/g: 38.1 (HCC827ErlRes) | P | [128] | ||
| 89Zr-PRS-110 | Proteins | NSCLC (H441) | %ID/g: 5.9 | P | [129] | ||
| c-Met & EGFR | T | 89Zr-DFO-amivantamab | Bispecificantibody | NSCLC (HCC827) | In vitro | P | [130] | 
| FRα | T | 18F-AzaFol | Small molecules | NSCLC | %IA/g: 0.5 | C | [131] | 
| NTR | T | 18F-NT | Small molecules | NSCLC (H1299) | %ID/g: 1.9 TBR: 7.8 | P | [132] | 
| CD166/ALCAM | T | 89Zr-CX-2009 | Probody | H292 | %ID/g: 21.8 | P | [133] | 
| SSTR2 | T | 99mTc-depreotide | Peptides | Lung carcinoids NSCLC | TBR: 2.6 | C | [134] | 
| 68Ga-DOTATOC (octreotide) | Peptides | NSCLC | Mean SUV: 2.0 | C | [135] | ||
| 68Ga-DOTATATE (octreotate) | Peptides | SCLC (NCI-H69) | SUVmax: > 20 (positive) TBR: 12.6 | CP | [79] [136]  | 
||
| 68Ga-DOTA-PA1 | Peptides | NSCLC (A549) | %ID/g: 5.2 | P | [82] | ||
| (124I, Mn) OCT-PEG-MNPs | Nanoparticles | SCLC (NCI-H69) | %ID/g: 8.0 | P | [83] | ||
| UT receptor | T | 111In-DOTA-Huii | Peptides | NSCLC (A549) | %ID/g: 0.8 TBR: 2.8 | P/CR | [137] | 
| CD 146 | T | 64Cu-NOTA-YY146 | mAbs | NSCLC (H460) | %ID/g: 7.4 | P | [138] | 
| CEA | T | 99mTc-anti-CEA nanobody | Nanobody | NSCLC (H460) | %ID/g: ~3.0 | P | [139] | 
| CXCR4 | T | 68Ga-Pentixafor (68Ga-CPCR4-2) | Peptides | NSCLC SCLC | Average SUVmax: ~8.5 Average SUVmax: ~12.0 | C | [87] | 
| 64Cu-AMD3100 | Small molecules | LC (3LL: CXCR4-transfected) | %ID/g: 12.3 | P | [90] | ||
| 89Zr-MDX-1338 | mAbs | NSCLC (H1155) | %ID/g: 36.2 TBR: 41.0 | P | [140] | ||
| VEGFR-2 | T | 64Cu-NOTA-RamAb | mAbs | NSCLC (HCC4006) | %ID/g: 9.4±0.5 | P | [141] | 
| CD30 | T | 89Zr-Df-BV | mAbs | NSCLC (H460) | %ID/g: 9.9 | P | [142] | 
| CD38 | T | 89Zr-Df-daratumumab | mAbs | NSCLC (A549) | %ID/g: 8.1 | P | [143] | 
| CD133 | T | 89Zr-DFO-αCD133 | mAbs | SCLC (NCI-H82) | %ID/g: 50.8 | P | [144] | 
| Lewis Y | T | 111In-hu3S193 | mAbs | SCLC | - | C | [145] [146]  | 
| Unknown | T | 99mTc-(tricine)-HYNIC-(Ser)3-J18 | Peptides | NSCLC (A549) | %ID/g: 1.1 TBR: 5.6 | P | [147] | 
| Integrin αvβ6 | T | 18F-αvβ6-BP | Peptides | NSCLC | SUVmax: 1.0–13.5 TBR: 17.3–67.5  | 
C | [148] | 
| 68Ga-SFITGv6 | Peptides | NSCLC | Mean SUVmax: 3.3 | C | [149] | ||
| 68Ga-DOTA-R01-MG | Peptides | NSCLC (H1975) | %ID/g: 2.5 TBR: 5.2 | P | [150] | ||
| 68Ga-TRAP(SDM17)3 | Peptides | NSCLC (H2009) | %ID/g: 2.1 TBR: ~22.0 | P | [151] | ||
| 68Ga-avebehexin | Peptides | NSCLC (H2009) | %ID/g: 0.6 TBR: 10.8 | P | [152] | ||
| Integrin αvβ3 | T/TME | 18F-galacto-RGD | Peptides | NSCLC | Mean SUV: 2.7 | C | [94] | 
| 18F-AlF-NOTA-PRGD2 (18F-Alfatide I) | Peptides | NSCLC (CMT-167) | Mean SUV: 2.9 TBR: 5.9 | C | [97] | ||
| 68Ga-NOTA-PEG4-E[c(RGDfK)]2 (68Ga-Alfatide II) | Peptides | NSCLC | SUVmax: 3.7 SUVmax: 3.9SUVmax: 3.8 | C | [103] [104] [102]  | 
||
| 99mTc-3PRGD2 | Peptides | NSCLC | TBR: 5.8 TBR: 2.8 | C | [106] [105]  | 
||
| 68Ga-DOTA-E-(cRGDfK)2 | Peptides | NSCLC | Median SUVmax: 4.3 | C | [107] | ||
| 68Ga-NODAGA-THERA-NOST | Peptides | Lung carcinoids | SUVmax: 4.8 TBR: 1.5 | C | [153] | ||
| 99mTc-RGD-4CK | Peptides | NSCLC | %ID/g: 4.1 TBR: 3.8 | P | [154] | ||
| Integrin α2β1 | T/TME | 68Ga-DOTA-A2B1 | Peptides | NSCLC (A549) | %ID/g: 2.5 TBR: 1.5 | P | [155] | 
| SSTR2 & Integrin αvβ3 | T/TME | 68Ga-NOTA-3P-TATE-RGD | Peptides | NSCLC SCLC Lung carcinoids | Mean SUVmax: 4.1 Mean TBR: 5.2 TBR: 4.5 (NSCLC) 6.1 (SCLC) 36.1 (Lung carcinoids) | C | [156] | 
| NRP-2 | T/TME | 131I-anti-NRP-2 | mAbs | NSCLC (A549) | %ID/g: 4.6 TBR: 3.8 | P | [157] | 
| CTLA-4 | T/TME | 64Cu-DOTA-ipilimumab | mAbs | NSCLC (A549) | %ID/g: 9.8 | P | [158] | 
| FAP | TME | 
18F-FAPI-74 68Ga-FAPI-74  | 
Small molecules | NSCLC | Average SUVmax: 12.7 Average SUVmax: 11.4  | 
C | [110] | 
| 68Ga-FAPI-04 | Small molecules | LC | Average SUVmax:> 12 | C | [111] | ||
| 68Ga-FAP-2286 | Peptides | NSCLC | SUVmax: 7.3 | C | [36] | ||
| PD-1 | TME | 89Zr-nivolumab | mAbs | NSCLC | Median SUVmax: 6.4 | C | [57] | 
| 89Zr-pembrolizumab | mAbs | NSCLC | Mean SUVmax: 6.5 | C | [159] | ||
| TIGIT | TME | 68Ga-GP12 | Peptides | NSCLC | SUVmax: 4.8 | C | [117] | 
| TAM | TME | 64Cu-Macrin | Nanoparticles | NSCLC (KP1.9) | %ID/g:~6 SUV: 1.3 | P | [160] | 
| Hypoxic tumor | TME | 68Ga-HP-DO3A-NI | Small molecules | NSCLC (A549) | %ID/g: 0.9 TBR: 5.0 | C | [161] | 
PD-1/PD-L1 programmed cell death protein-1/ligand-1, EGFR epidermal growth factor receptor, TIGIT T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif (ITIM) domain, CCK-2R cholecystokinin-2 receptor, CTLA-4 cytotoxic T-lymphocyte-associated protein 4, FAP fibroblast activation protein, FRα folate receptor alpha, NTR neurotensin receptor, CD166/ALCAM activated leukocyte cell adhesion molecule, SSTR2 somatostatin receptor 2, NRP-2 neuropilin receptor type-2, CXCR4 CXC chemokine receptor 4, VEGFR-2 vascular endothelial growth factor receptor-2, MET the receptor of hepatocyte growth factor, TAM tumor-associated macrophages, TME tumor microenvironment, mAbs monoclonal antibodies, sdAbs single-domain antibodies, HCAb heavy chain-only antibody, PDX patient-derived xenograft, TBR tumor background ratio, T tumor, P preclinical, C clinical, CR case reports, %IA/g percent of injected activity per gram of tissue, %ID/g percent of injected dose per gram of tissue
PD-L1/PD-1
The overexpression of programmed death ligand 1 (PD-L1) on tumor cells promotes immune escape and restricts tumor cell killing by C D8+ T cells. PD-L1 serves as a predictive biomarker, prognostic indicator, and therapeutic target for cancer immunotherapy [38, 39]. So far, five radiotracers targeting PD-L1 in NSCLC have been trialed in the clinic, including two monoclonal antibodies (mAbs), one peptide, one protein, and one single-domain antibody (sdAb) (Table 1). Since atezolizumab, durvalumab, and avelumab are approved anti-PD-L1 mAbs [40–42], zirconium-89-labeled atezolizumab and durvalumab have shown encouraging results in clinical trials as immunotherapeutics. Cancer patients who are responsive to immune checkpoint inhibitor treatment showed higher uptake of these radiopharmaceuticals [43, 44]. Other mAbs (e.g., 89Zr-DFO-REGN3504, 89Zr-DFO-6E11, and 89Zr-C4) have generated images with strong tumor uptake and high image contrast, as demonstrated in several preclinical studies [45–47].
The optimal imaging timepoint for antibodies generally occurs several days after administration since they remain in blood circulation for a long time. Therefore, radionuclides, such as iodine-124 (t1/2 = 4.2 days) and zirconium-89 (t1/2 = 3.3 days), that have longer half-lives are commonly used for antibody-based imaging [48, 49]. To minimize radiation exposure to patients, imaging diagnosis using small-sized, short-circulating ligand is preferred [50]. In particular, sdAb, especially nanobodies, has small sizes and short circulation half-lives, thus demonstrating easier dissolution and faster tissue accumulation than full-length antibodies [51–53]. For instance, 99mTc-labeled NM-01, an anti-PD-L1 sdAb, could highlight tumors with a tumor-to-background ratio (TBR) of 2.3 after 2 h of patient injection [54]. Gallium-68 labeled NOTA-WL12, a peptide-based PD-L1 imaging agent, could achieve a tumor-to-lung ratio of 4.45 ± 1.89 within an hour of administration, as evidenced by PET/CT imaging, thereby improving the efficiency of evaluation [55]. Similarly, small-sized adnectins could be rapidly delivered to target tissues [56]. They could provide an optimal tumor-to-background contrast at 70–90 min post-injection and a median maximum standardized uptake values (SUVmax) of 6.5 for 18F-BMS-986192 in immunotherapy-responsive lesions [57]. Moreover, Truillet et al. successfully optimized anti-PD-L1 IgG1 complement 4 (C4)-based radioligands that possess shorter pharmacokinetics. As-prepared fragment antigen-binding (Fab) C4 and a double-mutant IgG C4 (H310A/H435Q) could achieve a maximum TBR at 4 h and 24 h after injection, respectively. This timeframe is much shorter than C4, which achieves a maximum TBR 48 h after injection [47, 58]. Therefore, the optimization for mAbs is being improved by ensuring a high antibody affinity and lowering the ligand’s molecular weight via the reduction of radiopharmaceutical’s toxicity.
As an immune checkpoint molecule for cancer immunotherapies, programmed cell death protein-1 (PD-1) is mainly expressed on the surface of various immune cells [59]. The PD-1 pathway plays an important role in regulating the function of immune cells, such as T cell activation and exhaustion, formation and maintenance of memory T cells, and activation of Treg cells [60]. However, a wide range of PD-1/L1 inhibitors is recruited in multiple malignant tumors, including NSCLC. Thus, to provide a precise treatment regimen, it is critical to identify the patients who may benefit from PD-1 based immunotherapies in advance [61]. For example, tumor uptake of 89Zr-pembrolizumab is higher in patients who respond well to pembrolizumab treatment than those who do not respond to the treatment (median SUVpeak, 11.4 vs. 5.7) [62]. Similarly, the uptake of 89Zr-nivolumab in tumors is also directly associated with treatment response (median SUVpeak 6.4 vs. 3.9) [57]. Hence, PD-1-PET/CT predicts response to treatment with immune checkpoint inhibitors for patients with NSCLC.
EGFR
Epidermal growth factor receptor (EGFR) has been recognized as a crucial molecular target specific for NSCLC therapy. In particular, mutated EGFR is a possible prognostic marker and a predictor of resistance in NSCLC [63]. EGFR tyrosine kinase inhibitors (TKIs) are first-line therapy for advanced NSCLC. The suitability for treatment with EGFR-TKIs depends on the EGFR mutation status in NSCLC patients [64]. Most advanced NSCLC patients would acquire resistance after treatment with the first-generation (gefitinib and erlotinib) or second-generation (afatinib and dacomitinib) TKIs, with the generation of T790M mutations as the predominant mechanism [65]. As a result, the third-generation EGFR TKIs (rociletinib and osimertinib) were developed to treat these patients with T790M mutation [66, 67]. Surprisingly, 18F-gefitinib did not have satisfactory imaging results in EGFR-expressing engrafted tumor mouse models [68]. With further studies, it was shown that the high lipophilicity of the probe is a key factor affecting the imaging performance of radionuclides labeled TKIs. Increasing hydrophilicity of gefitnib can be resolved via polyethyleneglycol (PEG) modification, such as gefitinib-based 18F-IRS that bind strongly to EGFR 19 exon deletion mutation [69]. Notably, dynamic PET/CT scans may provide additional information by analyzing the kinetics among different TKIs probes [70]. Dynamic 11C-erlotinib-PET/CT showed that the volume of distribution was significantly higher in tumors with activated mutations as opposed to those without activated mutations (1.76 vs. 1.06) [71]. Moreover, the most promising EGFR-TKI PET candidate is N-(3-chloro-4-fluorophenyl)-7-(2-(2-(2-(2–18F-fluoroethoxy) ethoxy) ethoxy) ethoxy)-6-methoxyquinazolin-4-amine (18F-MPG), which is based on the established 11C-PD153035 that predict survival in NSCLC treated with EGFR-TKIs [72]. Therefore, EGFR-TKIs based treatment benefits EGFR-mutated NSCLC patients. This type of therapy also prolongs the median PFS especially when 18F-MPG PET/CT indicates a SUVmax (maximum standardized uptake value) ≥ 2.23 [73].
SSTR2
Bronchopulmonary NETs, including SCLC, large-cell neuroendocrine carcinoma, and atypical and typical carcinoids, account for 25% of primary lung neoplasia [74]. The somatostatin receptors (SSTRs), especially the SSTR2 subtype, are overexpressed on NET cells. The somatostatin analogs, mainly octreotide and octreotide derivatives, have been developed for diagnosing and treating NETs in conjunction with various radionuclides. Since the 1990s, 111In-pentetreotide (111In-OctreoScan or 111In-DTPA-D-Phe1-octreotide) has been used to image patients with lung carcinoids, NSCLC, and SCLC [75–77]. However, due to the limited spatial resolution and the relatively slow localization of 111In-pentetreotide, (68)Gallium-DOTA-D-Phe(1)-Tyr(3)-octreotide (68Ga-DOTATOC) has become a viable alternative for diagnosing, staging, and assisting in treatment decision-making. A metaanalysis demonstrates that the clinical sensitivity (92% vs. 85.7%) and specificity (82% vs. 50%) of 68Ga-DOTATOC were superior to those of 111In-pentetreotide for NETs’ diagnosis [78]. In addition, (68) Gallium-DOTA(0)-Tyr(3)-octreotate (68Ga-DOTATATE) PET/CT imaging performs best in SSTR2-positive patients (SUV > 20) [79]. Moreover, 68Ga-DOTATATE outperforms 111In-pentetreotide in terms of imaging sensitivity, overall accuracy, radiation dosimetry, and patient convenience [80, 81]. Hence, 68Ga-DOTATATE has essentially replaced 111In-pentetreotide imaging where available. Recently, 68Ga-DOTA-PA1 and (124I, Mn) OCT-PEG-MNPs have achieved satisfactory imaging results in preclinical studies. 68Ga-DOTA-PA1 could target various subtypes of SSTRs, while (124I, Mn) OCT-PEG-MNPs could target SSTR2 as well as provide multimodality imaging [82, 83]. Overall, the approach to imaging patients with known NETs using ligands that target SSTRs is excellent.
CXCR4
The CXC motif chemokine receptor 4 (CXCR4) is overexpressed in different malignancies and is often associated with tumor metastasis and poor prognosis [84]. Wester’s group developed a suitable probe (68Ga-CPCR4-2, also known as 68Ga-Pentixafor) with high affinity to CXCR4 that displays a TBR of 16.6 in SCLC models [85]. CXCR4 PET has also been utilized in various clinical settings. 68Ga-Pentixafor PET/CT not only showed higher CXCR4 density in SCLC (SUVmax = 13.2) compared to NSCLC (SUVmax = 8.8) [86] but also demonstrated high image contrast in a variety of neoplasms, particularly for hematologic malignancies, SCLC, and adrenocortical neoplasms [87]. The specific binding of 125I-CPCR4-3 to tumor cell lines with different levels of CXCR4 expression is increased by 2.4 to 11-fold compared to 68Ga-CPCR4-2 [88], but further validation by in vivo imaging is still required. BL01, another potent peptide antagonist of CXCR4, accumulates too much in normal lung tissue and appears to be an improper radiotracer for LC [89]. AMD3100/plerixafor is a specific inhibitor of CXCR4. 64Cu-AMD3100 accumulates in CXCR4-positive tumors (%ID/g: 12.3), but with the drawback that the accumulation in the liver is too high (tumor-to-liver ratio < 1) [90, 91]. In conclusion, Pentixafor is currently the most potentially suitable ligand for CXCR4-targeted theranostics in LC.
Integrin αvβ3
As an essential component of the TME, integrin αvβ3 can promote tumor cell migration and angiogenesis [92]. Dozens of integrin αvβ3-targeting PET tracers have been tested in preclinical studies and clinical trials. Importantly, peptides containing the Arg-Gly-Asp (RGD) sequence have high affinity for αvβ3 integrin receptors. A review by Chen et al. provides an in-depth discussion of radiolabeled RGD peptides that are available in the clinics for imaging of integrin αvβ3 via PET. Some have found applications in the diagnosis, clinical staging, and treatment response monitoring of LC [93].
Although RGD peptides are excellent for evaluating tumor angiogenesis, 18F-galacto-RGD, the first clinical RGD PET tracer, has lower tumor uptake and image contrast than 18F-FDG (mean SUV: 2.7 ± 1.5 vs. 7.6 ± 4.9) and is less sensitive than 18F-FDG for tumor staging [94]. After that, dimeric RGD peptides were developed with higher receptor affinity, higher tumor uptake, and better pharmacokinetics than their monomeric analogs [95, 96]. And indeed, 18F-alfatide I, a dimeric RGD peptide, has shown good contrast in αvβ3-positive lung tumors with a mean SUV of 2.90 ± 0.10 and a TBR of 5.87 ± 2.02. 18F-alfatide I can be used to distinguish between benign and malignant lesions (the cut-off value of SUVmax is 2.65) [97, 98]. Importantly, 18F-alfatide I may be useful when predicting the response in locally advanced NSCLC patients who are undergoing radiotherapy concurrently [99]. PET/CT imaging based on 18F-alfatide II (or the second generation) could differentiate between tuberculosis (SUVmax: 2.63 ± 1.34) and lung cancer (SUVmax: 4.08 ± 1.51) [100], as well as offer higher sensitivity than 18F-FDG-PET/CT (92% vs. 77%) in detecting bone metastases [101]. Additionally, 68 Ga-labeled alfatide II could detect the inter- and intra-heterogeneity of αvβ3 integrin receptors in patients with NSCLC and SCLC [102], as well as outperform 18F-FDG in assessing lymph node and brain metastasis [103, 104]. Furthermore, 99mTc-3PRGD2 has demonstrated high sensitivity (88%) and specificity (94.6%) toward the diagnosis of lymph node metastasis in NSCLC [105, 106]. In terms of therapeutic response evaluation, 68Ga-DOTA-E-[c(RGDfK)]2-PET/CT is a valuable tool for assessing therapy response to angiogenesis inhibitors [107]. Overall, integrin αvβ3 PET imaging is effective in evaluating tumor angiogenesis, detecting tumorigenesis and metastasis, and identifying patients who will benefit from antiangiogenesis therapy.
FAP
FAP is overexpressed in cancer-associated fibroblasts (CAFs) that are located in the tumor stroma. FAP plays a crucial role in tumor cell growth, invasion, and migration [108]. A number of quinoline-based FAP inhibitors (FAPIs), including FAPI-02, FAPI-04, FAPI-21, FAPI-34, FAPI-46, and FAPI-74, have been developed for clinical imaging applications [108, 109]. With ease of production, high contrast generation, and low radiation load, 18F or 68Ga-labeled FAPIs may represent a powerful radiopharmaceutical devoted to diagnostic imaging of LC. The clinical imaging results in LC patients are encouraging, especially with 68Ga-FAPI-04, 18F-FAPI-74, and 68Ga-FAPI-74. These probes could be not only specifically taken up at very high levels at the primary tumor site, lymph nodes, and distant metastases (average S UVmax > 10) [110, 111] but also have a higher staging accuracy than 18F-FDG (94% vs. 30%) [112]. FAPIs have the property of comparatively rapid tumor clearance and correspondingly short tumor retention time, which is not a problem for diagnosis, but becomes a drawback as an effective therapeutic radiopharmaceutical for LC [109]. To increase tumor retention, Dirk Zboralski et al. developed the FAP-2286 compound, which utilizes cyclic peptides as binding motifs [113]. The results of 68Ga-FAP-2286 and 68Ga-FAPI-46 accumulated in tumors are comparable in both preclinical and clinical practice [113, 114]. However, the time-integrated activity coefficient and absorbed dose of 177Lu-FAP-2286 are 12 and 9 times higher than 177Lu-FAPI-46 in tumors [113]. In the future, radionuclide-labeled FAP-2286 may have more therapeutic potential than FAPIs.
TIGIT
T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif (ITIM) domain (TIGIT), expressed on CD4+, CD8+, and innate lymphocytes, can be a promising immune checkpoint for immunotherapies against cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and PD-L1/PD-1 [115]. TIGIT interacts with CD155 and CD122 expressed on tumor cells or antigen-presenting cells to inhibit innate and adaptive immunity by downregulating the function of natural killer cells and T cells [116]. A novel 68Ga-labeled D-peptide antagonist, or 68Ga-GP12, has shown success in accessing the heterogeneity of TIGIT expression in primary tumors (SUVmax = 4.82) and metastatic lesions (SUVmax = 2.80) in NSCLC patients. This finding indicates the possibility of stratifying patients suitable for anti-TIGIT therapies via TIGIT PET imaging [117].
Selection of RLT agents for the treatment of LC
When designing an RLT agent, the targeting ligand and radionuclide should be carefully considered and appropriately selected based on the histological/genetic tumor type and patient-bound factors such as tumor size, previous treatment responses, concurrent treatments, and previous medical history. Each LC subtype has certain molecular or cellular targets that are highly expressed. For example, NSCLC patients with high EGFR expression have more than 200 distinct mutations in the structural domain of tyrosine kinase [162]. On the other hand, SSRTs-RLT is promising for SSRTs-rich pulmonary NETs in SCLC or lung carcinoid patients [163]. Therefore, a detailed work-up (e.g., imaging or tissue biopsy) is required to determine the disease histotype and stage before initiating any treatment plans (Fig. 2).
Fig. 2.

Theranostic procedures for RLT
Ligands used for theranostics should have the following characteristics: (1) excellent specificity that allows high target affinity, (2) more reasonable pharmacokinetics for lower toxicity, and (3) longer tumor retention time to maximize tumor-killing activity. The optimization of ligands should also consider these three aspects. First, the targeting ability of the ligand to the tumor needs to be enhanced. Although rhenium-188 labeled depreotide analog P2045 has entered phase I clinical trials for RLT of advanced lung cancer, unfortunately, no significant therapeutic responses have been recorded [164]. As we have summarized in the first part of this review or Table 1, octreotide and octreotate are currently the most widely used peptides for diagnosing and treating patients with SSTR2 expressing lung NETs. The in vitro affinity of 68Ga-DOTATATE (octreotate) for SSTR2 is approximately tenfold higher than that of 68Ga-DOTATOC (octreotide) [165]. Also, both the sensitivity (96% vs. 93%) and specificity (100% vs. 85%) of 68Ga-DOTATATE are higher than 68Ga-DOTATOC [166]. According to Table 2, it is obvious that various octreotide- and octreotate-based beta-emitter labeled RLT agents (e.g., 90Y/177Lu-DOTATATE and 90Y/177Lu-DOTATOC) have shown good efficacy in patients with lung NET in several clinical trials [167]. Furthermore, the development of bispecific antibodies or heterodimeric peptides can also improve targeting efficiency and image quality [69, 130, 156]. Second, radiation toxicity and off-target effects could be further minimized via structure optimization of radionuclide-labeled mAbs. Radioligands could mediate a fast tumor uptake by using low molecular weight sdAbs, peptides, and small molecules targeting PD-L1, CXCR4, or EGFR rather than full-length antibodies [54, 87, 168]. And last but not least, increasing ligands retention time in tumor tissues would effectively enhance therapeutic effectiveness. FAPIs, such as 90Y-FAPI-04, 177Lu-FAPI-46, have a very short retention time in tumors (a significant decrease occurs 24 h after injection). However, 177Lu-FAP-2286 has a durable retention time of more than 72 h in tumors [113, 169]. The latest report of 177Lu-FAP-2286 for the treatment of metastatic NSCLC has encouraging clinical results with a significant reduction in lesions after 9 weeks of treatment [36].
Table 2.
Characteristics and pro/cons of RLT agents studied for lung cancer therapy
| Isotope | T1/2 (d) | Agent | Target | Properties | Pros | Cons | Studies | ||
|---|---|---|---|---|---|---|---|---|---|
| 
 | |||||||||
| 225Ac α, β, γ | 9.9 | 225Ac-DOTATATE | SSTR2 | Peptides | Tumor growth suppression Relatively greater efficacy and lower toxicity  | 
Nephrotoxicity Chronic progressive nephropathy  | 
Lungcarcinoids (H727, H69 | P | [181] | 
| 225Ac-SC16.56/N149 | DLL3 | mAbs | Tumor growth suppression Extended life expectancy  | 
Lower drug–antibody ratio | SCLC (PDX) | P | [178] | ||
| 227Th α, β | 18.7 | 227Th-anetumab | MSLN | mAbs | Significant survival benefit In vivo effective in a disseminated model of lung cancer  | 
Suppression of white blood cells | NSCLC (NCI-H226) | P | [198] | 
| 
131I β, γ  | 
8.0 | 131I-chTNT | Necrotic tumors | mAbs | Tumor necrosis targeted therapy | Bone marrow suppression Hematological toxicities  | 
NSCLC | C | [172] [173] | 
| 131I-cNGEGQQc | α3β1 Integrin | Peptides | Tumor growth suppression | Limited dose administration (High kidney uptake) | NSCLC (H1975, L78) | P | [199] | ||
| 131I-RGD-BSA-PCL | αvβ3 integrin | Nanoparticles | Extended life expectancy Longer residence times in tumor  | 
Intratumoral injection | NSCLC (NCI-H460) | P | [200] | ||
| 131I-TQGMNP | Glucuronidase enzyme | Nanoparticles | Multimodality imaging: SPECT and MRI Tumor growth suppression  | 
Hematologic toxicity | NSCLC (A549) | P | [201] | ||
| 131I-prohy | Necrotic tumors | Small molecules | Tumor necrosis targeted radiotherapy Tumor growth suppression Extended life expectancy  | 
Unclear the exact mechanism for the necrosis affinity of protohypericin Therapeutic effect needs to be further verified  | 
NSCLC (A549) | P | [202] | ||
| 
177Lu β, γ  | 
6.7 | 177Lu-DOTATATE | SSTR2 | Peptides | Extended life expectancy Better disease control rate, objective response rate, progression-free survival, lower hazard ratio for death and disease recurrence compared with 90Y-DOTATOC  | 
Nephrotoxicity Anemia Thrombocytopenia Hematologic toxicity Myelodysplastic syndrome Leukemia  | 
Lungcarcinoids | C | [35] [167] | 
| 177Lu-FAP-2286 | FAP | Peptides | Significant decrease in lesion size and SUVmax Longer tumor retention  | 
Headache Abdominal pain Anemia Hematologic toxicity  | 
NSCLC | C | [36] [203]  | 
||
| 177Lu-DOTA-HA100-N | CD44 and CD13 | Hyaluronan modified by peptide | Targeting malignant cancers with abundant blood vessels | Low tumor accumulation Easily degradable | NSCLC (NCI-H292) | P | [204] | ||
| 
177Lu-SC16.56 177Lu-N149  | 
DLL3 | mAbs | Higher drug–antibody ratio | Relatively lower efficacy compared to 225Ac-labeled agents | SCLC (PDX) | P | [178] | ||
| 177Lu-DOTA-RS7 | EGP-1 | mAbs | Tumor growth suppression | Body weight loss Hematologic toxicity | NSCLC (Calu-3) | P | [205] | ||
| 177Lu-EB-RGD | Integrin αvβ3 | Peptides | Tumor growth suppression Longer half-life and higher retention in the blood pool High tumor accumulation Longer tumor residence time  | 
Body weight loss | NSCLC (PDX) | P | [206] | ||
| 177Lu-DOTA-E(cRGDfK)2 | Integrin αvβ3 | Peptides | Tumor growth suppression High tumor accumulation Rapid excretion by urinary route  | 
Potential nephrotoxicity and hematological toxicity | NSCLC (A549) | P | [207] | ||
| 
90Y β  | 
2.7 | 90Y-DOTATOC | SSTR2 | Peptides | Extended life expectancy | Nephrotoxicity Anemia Leukopenia Thrombocytopenia  | 
Lung carcinoids | C | [136] [35]  | 
| 90Y-FF-21101 | Placental (P)-cadherin | mAbs | Complete response achieved in patients with high P-cadherin expression | Low expression of P-cadherin in Lung carcinoids Lymphopenia Leukopenia Thrombocytopenia  | 
Lung carcinoids | C | [208] | ||
| 90Y-MAb-6 | CDH3/P-cadherin | mAbs | Tumor growth suppression and regression | Body weight loss | NSCLC (H1373) | P | [209] | ||
| 
90Y β 177Lu β, γ  | 
2.7 6.7  | 
90Y/177Lu-DOTATATE | SSTR2 | Peptides | Therapy with tandem radioisotopes provides longer overall survival than with a single radioisotope | Hematological toxicity Nephrotoxicity  | 
Lung carcinoids | C | [210] | 
| 
188Re β, γ  | 
0.7 | 188Re-P2045 | SSTR2 | Peptides | Short plasma half-life Well tolerated | Lymphopenia No responses  | 
NSCLC | C | [164] | 
| 188Re-cetuximab | EGFR | mAbs | Tumor growth suppression Extended life expectancy  | 
Body weight loss | NSCLC (NCI-H292) | P | [211] | ||
| 188Re-bevacizumab | VEGF | mAbs | Tumor growth suppression | No significant tumor regression | NSCLC (A549) | P | [212] | ||
| 
166Ho β, γ  | 
1.1 | 166Ho-IG-cisplatin | Selective delivery to tumors using an external magnet | Nanoparticles | Combination of radiotherapy with chemotherapy Enhanced permeability and retention effect Targeted delivery in the presence of a magnetic field  | 
Lack of active targeting | NSCLC (A549) | P | [213] | 
SSTR2 somatostatin receptor 2, DLL3 delta like 3 protein, MSLN mesothelin, EGP-1 epithelial glycoprotein-1
RLT may induce potential side effects in patients, including primary nephrotoxicity and hematological toxicity [29]. Hence, the selection of suitable radionuclides is of the utmost importance for improving the therapeutic efficacy and avoiding any toxic side effects. Beta-particle emitters are commonly used for RLT [170]. For instance, the maximum energy of the main emission (Emax) of iodine-131 is 606.3 keV, with a half-life of 8.0 d and a maximum range of 2.9 mm in soft tissue [171]. 131I-labeled recombinant chimeric tumor necrosis treatment antibody (131I-chTNT) has been applied to treat patients with advanced lung cancer. However, it has shown limited clinical efficacy with some degree of immunogenicity in 8.97% of patients [172–174]. On the other hand, yttrium-90 has a shorter half-life (t1/2: 2.7 days) and higher energy (Emax: 2280.1 keV) compared to iodine-131 [24]. Nevertheless, yttrium-90 has a longer maximum range than lutetium-177 (t1/2: 6.7 days) in soft tissue (12 mm vs. 2 mm), allowing the glomeruli of kidneys to be exposed to radiation. Meanwhile, 177Lu only affects renal tubuli, thus causing higher incidences of nephrotoxicity and anemia [171, 175]. As such, 177Lu is better suited than 90Y for treating patients with NETs. Furthermore, 177Lu-DOTATATE has a better disease control rate, better objective response rate, longer PFS, lower hazard ratio for death, and less disease recurrence compared with 90Y-DOTATOC [35]. Recently, targeted alpha-particle therapy is also of great interest due to the shorter delivery range (40–100 μm) and greater energy (5–9 MeV) of alpha particles in contrast to beta particles [175]. The alpha particles induce double-strand breaks of DNA (unable for beta particles at the same radiation dose) at multiple sites through direct energy transfer or indirect effects of ionizing radiation. Notably, alpha particles are a double-edged sword. DNA breaks are closely related to the bystander and abscopal immune effects. Thus, alpha particles generate a stronger antitumor potency and can also be toxic to surrounding normal tissues [176]. After 223Ra-dichloride was approved for treating painful osseous metastases from prostate cancer [177], alpha-particle therapy is now considered an alternative to beta-particle therapy. In preclinical studies, 225Ac radioimmunoconjugates showed a relatively low tumor growth rate compared to 177Lu radioimmunoconjugates [178]. In clinical trials, actinium-255 labeled DOTATATE has successfully treated gastroenteropancreatic NET patients stable or refractory to 177Lu-DOTATATE [179]. With the development of radiopharmaceutical therapy, alpha-particle therapy has played a major role in the management of brain, breast, and lung cancer among others [180]. For lung NETs, 255Ac-DOTATATE significantly suppressed the growth of H727 and H69 tumors in mice without inducing toxicity concerns [181].
Auger electrons are also suited for RLT owing to their short emission range, low energy, and high linear energy transfer. These physical characteristics allow for strong energy deposition around the decay point [182]. Iodine-125 is one of the most extensively investigated auger emitters [183]. Treatment with iodine-125 labeled anti–EGFR mAb 425 improved median survival in patients with glioblastoma. Importantly, the combined therapy of 125I-mAb 425 and temozolomide effectively extended the maximum survival benefit [184]. Unfortunately, only few 125I-RLT studies have focused on LC thus far. 125I has also been limited as a systemically administered RLT agent since its long physical half-life is not ideal for clinical use (t1/2 = 60.1 days) [185]. In addition, most studies have concentrated on the dosimetry, pharmacokinetics, and biodistribution of auger electrons-labeled probes, thus prompting the need for further evaluation of their therapeutic effects [119, 186]. For instance, 125I-labeled CO1686 and HuBA-1-3D showed high specificity and activity against EGFR mutations or delta-like 1 homolog (DLK1) in LC cell lines, but the therapeutic potential of 125I-CO1686 and 125I-HuBA-1-3D was not assessed [187, 188]. Notably, in order to maximize efficacy and minimize toxicity, it is ideal to target auger electron-emitting isotopes to the tumor cell nuclei, even though internalization of the probe is not required for effective RLT [189–192].
Currently, only a proportion of SSTR2-targeted RLT agents developed for lung NETs are in clinical trials. Treatment with 177Lu-DOTATATE could result in an objective response rate of 39% for all bronchial and gastroenteropancreatic NET patients, with PFS and OS of 29 and 63 months, respectively [167]. Compared with chemotherapy or targeted therapy, SSTR2-targeted RLT agents had longer median PFS in the unmatched (2.5 years vs. 0.7 years) and matched (2.2 years vs. 0.6 years) populations [193]. Compared with everolimus-treated advanced pancreatic NETs, 177Lu-DOTATATE therapy had a better objective response rate (47% vs. 12%), disease control rate (81% vs. 73%) as well as longer PFS (25.7 months vs. 14.7 months), and also had a better safety profile [194]. In addition, the efficacy of combination of 177Lu-DOTATATE is superior to monotherapy. For example, 177Lu-DOTATATE plus somatostatin analogs correlated with the highest probability (99.6%) of the longest PFS [195]. The combination of 177Lu-DOTATATE with carboplatin/etoposide chemotherapy prolonged survival vs. 177Lu-DOTATATE or chemotherapy alone [136]. 177Lu-DOTATATE and capecitabine therapy lengthen median OS and PFS in advanced metastatic NETs [196], and 177Lu-DOTATATE plus nivolumab showed signs of antitumor activity in patients with relapsed/refractory extensive-stage SCLC [197]. RLT agents for other targets or other types of LC are still under development, with no definitive results on their therapeutic efficacy. Herein, we propose two recommendations to promote the use of RLT drugs in LC management. On the one hand, it is necessary to advance different types of RLT agents into preclinical and clinical studies. More specifically, the main focus should be the therapeutic evaluation of tumors using alpha particles- and auger electrons-emitting radionuclides labeled ligands. On the other hand, to combat the challenges of single-drug therapies and drug resistance, personalized treatments that combine chemotherapy, radiosensitizers, small molecule kinase inhibitors, and other therapeutic agents will yield better patient outcome.
Conclusion and future perspectives
A critical concern in the management of LC is the difficulty of determining the patient characteristics that would benefit from certain treatments. At present, tissue biopsy, which is an invasive procedure, is the gold standard for cancer confirmation. However, due to intra-tumor phenotypic heterogeneity, biopsy often leads to erroneous tumor status classifications. As a result, repeat biopsies are necessary to give more accurate diagnoses, but this approach puts a significant burden on patients [214]. In contrast, PET and SPECT are non-invasive in nature and can be used to determine the expression level of specific molecules or mutation status of oncogenes in tumor cells, while monitoring the immune response in the TME [57, 215]. Thus, nuclear medicine could be an ideal therapeutic strategy to prospectively identify the patient populations that may benefit from a drug prior to its administration and subsequently personalize the treatment by employing suited radioligands.
The application of radioligands offers several invaluable advantages for targeted theranostics of LC. First, RLT agents can identify molecular targets in vivo without the need for biopsy and provide personalized therapeutic solutions for each individual. As we have summarized in Table 1, PET or SPECT imaging allows for the non-invasive detection of tumor mutation status as well as specific biomarkers in tumors and TME. Second, RLT can overcome the challenges of low vascular abundance and heterogeneous receptor expression on tumor cells. By changing the size and modifying the water solubility of ligands, the capability of RLT agents may be improved in terms of their affinity and specificity. Moreover, combined therapies, as opposed to single drug-targeted treatments, can improve further therapeutic efficacy and reduce toxic side effects [216]. Numerous combined-therapeutic strategies have been evaluated, including the combination of drugs that modulate immune checkpoints, improve tumor perfusion, upregulate target receptors, induce tumor cell DNA damage, and inhibit DNA damage repair [217]. Lastly, RLT can be used to estimate a patient’s prognosis and inform treatment decisions by tracking tumor response and progress via real-time longitudinal monitoring. For example, immuno-PET has been used to assess and predict therapeutic efficacy by examining the immune activation status of primary tumors and systemic lymphoid organs before and after treatment [218].
In spite of the considerable merits of RLT in oncological treatment, its limitation is still noticeable, namely, the problem of non-negligible toxicity. However, there are three aspects that we can take into account to improve the current procedures to alleviate the toxicity of RLT agents. The first step is to take some options to reduce the drug’s toxic effects depending on the patient’s health status. For example, the patient may be infused with nephroprotective amino acids [219]. Secondly, as discussed in the previous section, we should choose the optimal ligand and radionuclide to minimize toxicity. Finally, RLT combined with chemotherapy or immunotherapy can reduce toxicity by reducing the dosage of TRT drugs and achieve better therapeutic results.
In summary, RLT could provide tailored and personalized medical care for each individual patient. The application of RLT for targeted theranostics of LC is in its infancy, but this topic is gaining considerable interest and more research progress will be made in the coming years. Besides, the safety of radionuclide application in tumor diagnosis and treatment has been clinically proven for many years, and an increasing number of mAbs, peptides, and small molecules are increasingly entering clinical trials. Once suitable targets can be identified and safer and more effective ligands developed for LC treatment, we anticipate that RLT will provide great clinical benefits as either an adjuvant or first-line treatment for patients with early, advanced, relapsed, or treatment-resistant LC in the future.
Funding
This work was supported by the Natural Science Foundation of China (82101916), the Huadong Medicine Joint Funds of the Zhejiang Provincial Natural Science Foundation of China (No. LHDMZ22H300005), Major project of Science and Technology Program of Jinhua, China (No. 2022-3-039), the University of Wisconsin – Madison, and the National Institutes of Health (P30 CA014520 and T32 CA009206).
Footnotes
Declarations
Conflict of interest Weibo Cai is a scientific advisor, stockholder, and grantee of Focus-X Therapeutics, Inc.; a consultant and grantee of Ac-tithera, Inc.; a consultant of Rad Source Technologies, Inc.; a scientific advisor of Portrai, Inc.; and a scientific advisor and stockholder rTR Technovation Corporation. All other authors declare no conflict of interest.
Ethics approval This article does not contain any studies with human participants or animals performed by any of the authors.
This article is part of the Topical Collection on Oncology - Chest.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Data availability
Not applicable.
References
- 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49. 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
 - 2.Nicholson AG, Tsao MS, Beasley MB, Borczuk AC, Brambilla E, Cooper WA, et al. The 2021 WHO classification of lung tumors: impact of advances since 2015. J Thorac Oncol. 2022;17:362–87. 10.1016/j.jtho.2021.11.003. [DOI] [PubMed] [Google Scholar]
 - 3.Duma N, Santana-Davila R, Molina JR. Non-small cell lung cancer: epidemiology, screening, diagnosis, and treatment. Mayo Clin Proc. 2019;94:1623–40. 10.1016/j.mayocp.2019.01.013. [DOI] [PubMed] [Google Scholar]
 - 4.Nicholson AG, Chansky K, Crowley J, Beyruti R, Kubota K, Turrisi A, et al. The International Association for the Study of Lung Cancer Lung Cancer Staging Project: proposals for the revision of the clinical and pathologic staging of small cell lung cancer in the forthcoming eighth edition of the TNM classification for lung cancer. J Thorac Oncol. 2016;11:300–11. 10.1016/j.jtho.2015.10.008. [DOI] [PubMed] [Google Scholar]
 - 5.Zhou C, Li S, Liu J, Chu Q, Miao L, Cai L, et al. International consensus on severe lung cancer-the first edition. Transl Lung Cancer Res. 2021;10:2633–66. 10.21037/tlcr-21-467. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 6.Alexander M, Kim SY, Cheng H. Update 2020: management of non-small cell lung cancer. Lung. 2020;198:897–907. 10.1007/s00408-020-00407-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 7.Wahl RL, Chareonthaitawee P, Clarke B, Drzezga A, Lindenberg L, Rahmim A, et al. Mars shot for nuclear medicine, molecular imaging, and molecularly targeted radiopharmaceutical therapy. J Nucl Med. 2021;62:6–14. 10.2967/jnumed.120.253450. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 8.Szyszko TA, Yip C, Szlosarek P, Goh V, Cook GJ. The role of new PET tracers for lung cancer. Lung Cancer. 2016;94:7–14. 10.1016/j.lungcan.2016.01.010. [DOI] [PubMed] [Google Scholar]
 - 9.Liberini V, Laudicella R, Capozza M, Huellner MW, Burger IA, Baldari S, et al. The future of cancer diagnosis, treatment and surveillance: a systemic review on immunotherapy and immuno-PET radiotracers. Molecules. 2021;26. 10.3390/molecules26082201. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 10.Telo S, Calderoni L, Vichi S, Zagni F, Castellucci P, Fanti S. Alternative and new radiopharmaceutical agents for lung cancer. Curr Radiopharm. 2020;13:185–94. 10.2174/1874471013666191223151402. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 11.Wang Q, Zhang X, Wei W, Cao M. PET imaging of lung cancers in precision medicine: current landscape and future perspective. Mol Pharm. 2022;19:3471–83. 10.1021/acs.molpharmaceut.2c00353. [DOI] [PubMed] [Google Scholar]
 - 12.Liberini V, Mariniello A, Righi L, Capozza M, Delcuratolo MD, Terreno E, et al. NSCLC biomarkers to predict response to immunotherapy with checkpoint inhibitors (ICI): from the cells to in vivo images. Cancers (Basel). 2021; 13 10.3390/cancers13184543. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 13.Schneider BJ, Daly ME, Kennedy EB, Antonoff MB, Broderick S, Feldman J, et al. Stereotactic body radiotherapy for early-stage non-small-cell lung cancer: American Society of Clinical Oncology endorsement of the American Society for Radiation Oncology evidence-based guideline. J Clin Oncol. 2018;36:710–9. 10.1200/jco.2017.74.9671. [DOI] [PubMed] [Google Scholar]
 - 14.Remon J, Soria JC, Peters S, clinicalguidelines@esmo.org EGCEa. Early and locally advanced non-small-cell lung cancer: an update of the ESMO clinical practice guidelines focusing on diagnosis, staging, systemic and local therapy. Ann Oncol. 2021; 32:1637–42. 10.1016/j.annonc.2021.08.1994. [DOI] [PubMed] [Google Scholar]
 - 15.Gesthalter Y, Smyth R. Treatment of small cell lung cancer. Am J Respir Crit Care Med. 2022;205:P3–p4. 10.1164/rccm.2052P3. [DOI] [PubMed] [Google Scholar]
 - 16.Herzog BH, Devarakonda S, Govindan R. Overcoming chemotherapy resistance in SCLC. J Thorac Oncol. 2021;16:2002–15. 10.1016/j.jtho.2021.07.018. [DOI] [PubMed] [Google Scholar]
 - 17.Vinod SK, Hau E. Radiotherapy treatment for lung cancer: current status and future directions. Respirology. 2020;25(Suppl 2):61–71. 10.1111/resp.13870. [DOI] [PubMed] [Google Scholar]
 - 18.Singh B, Patwardhan RS, Jayakumar S, Sharma D, Sandur SK. Oxidative stress associated metabolic adaptations regulate radioresistance in human lung cancer cells. J Photochem Photobiol B. 2020;213:112080. 10.1016/j.jphotobiol.2020.112080. [DOI] [PubMed] [Google Scholar]
 - 19.Pan C, Liu H, Robins E, Song W, Liu D, Li Z, et al. Next-generation immuno-oncology agents: current momentum shifts in cancer immunotherapy. J Hematol Oncol. 2020;13:29. 10.1186/s13045-020-00862-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 20.Dong S, Guo X, Han F, He Z, Wang Y. Emerging role of natural products in cancer immunotherapy. Acta Pharm Sin B. 2022;12:1163–85. 10.1016/j.apsb.2021.08.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 21.Zhang X, Zheng J, Niu Y, Xue C, Yu Y, Tan K, et al. Long-term survival in extensive-stage small-cell lung cancer treated with different immune checkpoint inhibitors in multiple-line therapies: a case report and literature review. Front Immunol. 2022;13:1059331. 10.3389/fimmu.2022.1059331. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 22.Nussinov R, Tsai CJ, Jang H. Anticancer drug resistance: an update and perspective. Drug Resist Updat. 2021;59:100796. 10.1016/j.drup.2021.100796. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 23.Jadvar H Targeted radionuclide therapy: an evolution toward precision cancer treatment. AJR Am J Roentgenol. 2017;209:277–88. 10.2214/AJR.17.18264. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 24.Goldsmith SJ. Targeted radionuclide therapy: a historical and personal review. Semin Nucl Med. 2020;50:87–97. 10.1053/j.semnuclmed.2019.07.006. [DOI] [PubMed] [Google Scholar]
 - 25.Langbein T, Weber WA, Eiber M. Future of theranostics: an outlook on precision oncology in nuclear medicine. J Nucl Med. 2019;60:13S–9S. 10.2967/jnumed.118.220566. [DOI] [PubMed] [Google Scholar]
 - 26.Strosberg J, El-Haddad G, Wolin E, Hendifar A, Yao J, Chasen B, et al. Phase 3 trial of (177)Lu-dotatate for midgut neuroendocrine tumors. N Engl J Med. 2017;376:125–35. 10.1056/NEJMoa1607427. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 27.Ersahin D, Doddamane I, Cheng D. Targeted radionuclide therapy. Cancers (Basel). 2011;3:3838–55. 10.3390/cancers3043838. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 28.Li T, Ao ECI, Lambert B, Brans B, Vandenberghe S, Mok GSP. Quantitative imaging for targeted radionuclide therapy dosimetry - technical review. Theranostics. 2017;7:4551–65. 10.7150/thno.19782. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 29.Gudkov SV, Shilyagina NY, Vodeneev VA, Zvyagin AV. Targeted radionuclide therapy of human tumors. Int J Mol Sci. 2015;17. 10.3390/ijms17010033. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 30.Zakeri K, Narayanan D, Evans G, Prasanna P, Buchsbaum JC, Vikram B, et al. Advancing targeted radionuclide therapy through the National Cancer Institute’s Small Business Innovation Research Pathway. J Nucl Med. 2019;60:41–9. 10.2967/jnumed.118.214684. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 31.Solnes LB, Werner RA, Jones KM, Sadaghiani MS, Bailey CR, Lapa C, et al. Theranostics: leveraging molecular imaging and therapy to impact patient management and secure the future of nuclear medicine. J Nucl Med. 2020;61:311–8. 10.2967/jnumed.118.220665. [DOI] [PubMed] [Google Scholar]
 - 32.Bolcaen J, Kleynhans J, Nair S, Verhoeven J, Goethals I, Sathekge M, et al. A perspective on the radiopharmaceutical requirements for imaging and therapy of glioblastoma. Theranostics. 2021;11:7911–47. 10.7150/thno.56639. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 33.Damiana TST, Dalm SU. Combination therapy, a promising approach to enhance the efficacy of radionuclide and targeted radionuclide therapy of prostate and breast cancer. Pharmaceutics. 2021;13. 10.3390/pharmaceutics13050674. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 34.Poels TT, Vuijk FA, de Geus-Oei LF, Vahrmeijer AL, Oprea-Lager DE, Swijnenburg RJ. Molecular targeted positron emission tomography imaging and radionuclide therapy of pancreatic ductal adenocarcinoma. Cancers (Basel). 2021;13. 10.3390/cancers13246164. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 35.Naraev BG, Ramirez RA, Kendi AT, Halfdanarson TR. Peptide receptor radionuclide therapy for patients with advanced lung carcinoids. Clin Lung Cancer. 2019;20:e376–92. 10.1016/j.cllc.2019.02.007. [DOI] [PubMed] [Google Scholar]
 - 36.Rao Z, Zhang Y, Liu L, Wang M, Zhang C [(177)Lu]Lu-FAP-2286 therapy in a case of right lung squamous cell carcinoma with systemic metastases. Eur J Nucl Med Mol Imaging. 2022. 10.1007/s00259-022-06048-5. [DOI] [PubMed] [Google Scholar]
 - 37.Weber WA, Czernin J, Anderson CJ, Badawi RD, Barthel H, Bengel F, et al. The future of nuclear medicine, molecular imaging, and theranostics. J Nucl Med. 2020;61:263s–72s. 10.2967/jnumed.120.254532. [DOI] [PubMed] [Google Scholar]
 - 38.Gibney GT, Weiner LM, Atkins MB. Predictive biomarkers for checkpoint inhibitor-based immunotherapy. The Lancet Oncology. 2016;17:e542–51. 10.1016/s1470-2045(16)30406-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 39.Lantuejoul S, Sound-Tsao M, Cooper WA, Girard N, Hirsch FR, Roden AC, et al. PD-L1 testing for lung cancer in 2019: perspective from the IASLC Pathology Committee. J Thorac Oncol. 2020;15:499–519. 10.1016/j.jtho.2019.12.107. [DOI] [PubMed] [Google Scholar]
 - 40.Herbst RS, Giaccone G, de Marinis F, Reinmuth N, Vergnenegre A, Barrios CH, et al. Atezolizumab for first-line treatment of PD-L1-selected patients with NSCLC. N Engl J Med. 2020;383:1328–39. 10.1056/NEJMoa1917346. [DOI] [PubMed] [Google Scholar]
 - 41.Collins JM, Gulley JL. Product review: avelumab, an anti-PD-L1 antibody. Hum Vaccin Immunother. 2019;15:891–908. 10.1080/21645515.2018.1551671. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 42.Chaft JE, Rimner A, Weder W, Azzoli CG, Kris MG, Cascone T. Evolution of systemic therapy for stages I-III non-metastatic non-small-cell lung cancer. Nat Rev Clin Oncol. 2021;18:547–57. 10.1038/s41571-021-00501. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 43.Bensch F, van der Veen EL, Lub-de Hooge MN, Jorritsma-Smit A, Boellaard R, Kok IC, et al. (89)Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat Med. 2018;24:1852–8. 10.1038/s41591-018-0255-8. [DOI] [PubMed] [Google Scholar]
 - 44.Smit J, Borm FJ, Niemeijer AN, Huisman MC, Hoekstra OS, Boellaard R, et al. PD-L1 PET/CT imaging with radiolabeled durvalumab in patients with advanced-stage non-small cell lung cancer. J Nucl Med. 2022;63:686–93. 10.2967/jnumed.121.262473. [DOI] [PubMed] [Google Scholar]
 - 45.Kelly MP, Makonnen S, Hickey C, Arnold TC, Giurleo JT, Tavare R, et al. Preclinical PET imaging with the novel human antibody (89)Zr-DFO-REGN3504 sensitively detects PD-L1 expression in tumors and normal tissues. J Immunother Cancer. 2021;9. 10.1136/jitc-2020-002025. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 46.Christensen C, Kristensen LK, Alfsen MZ, Nielsen CH, Kjaer A. Quantitative PET imaging of PD-L1 expression in xenograft and syngeneic tumour models using a site-specifically labelled PD-L1 antibody. Eur J Nucl Med Mol Imaging. 2020;47:1302–13. 10.1007/s00259-019-04646-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 47.Truillet C, Oh HLJ, Yeo SP, Lee CY, Huynh LT, Wei J, et al. Imaging PD-L1 expression with immunoPET. Bioconjug Chem. 2018;29:96–103. 10.1021/acs.bioconjchem.7b00631. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 48.Wen X, Shi C, Zhao L, Yao L, Xu D, Lin X, et al. Immuno-SPECT/PET imaging with radioiodinated anti-PD-L1 antibody to evaluate PD-L1 expression in immune-competent murine models and PDX model of lung adenocarcinoma. Nucl Med Biol. 2020;86–87:44–51. 10.1016/j.nucmedbio.2020.05.006. [DOI] [PubMed] [Google Scholar]
 - 49.Jagoda EM, Vasalatiy O, Basuli F, Opina ACL, Williams MR, Wong K, et al. Immuno-PET imaging of the programmed cell death-1 ligand (PD-L1) using a zirconium-89 labeled therapeutic antibody, avelumab. Mol Imaging. 2019;18:1536012119829986. 10.1177/1536012119829986. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 50.Luo H, Yang C, Kuang D, Shi S, Chan AW. Visualizing dynamic changes in PD-L1 expression in non-small cell lung carcinoma with radiolabeled recombinant human PD-1. Eur J Nucl Med Mol Imaging. 2022;49:2735–45. 10.1007/s00259-022-05680-5. [DOI] [PubMed] [Google Scholar]
 - 51.Mei Y, Chen Y, Sivaccumar JP, An Z, Xia N, Luo W. Research progress and applications of nanobody in human infectious diseases. Front Pharmacol. 2022;13:963978. 10.3389/fphar.2022.963978. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 52.Arbabi-Ghahroudi M Camelid single-domain antibodies: promises and challenges as lifesaving treatments. Int J Mol Sci. 2022;23. 10.3390/ijms23095009. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 53.Markham A. Envafolimab: first approval. Drugs. 2022;82:235–40. 10.1007/s40265-022-01671-w. [DOI] [PubMed] [Google Scholar]
 - 54.Xing Y, Chand G, Liu C, Cook GJR, O’Doherty J, Zhao L, et al. Early phase I study of a (99m)Tc-labeled anti-programmed death ligand-1 (PD-L1) single-domain antibody in SPECT/CT assessment of PD-L1 expression in non-small cell lung cancer. J Nucl Med. 2019;60:1213–20. 10.2967/jnumed.118.224170. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 55.Zhou X, Jiang J, Yang X, Liu T, Ding J, Nimmagadda S, et al. First-in-humans evaluation of a PD-L1-binding peptide PET radiotracer in non-small cell lung cancer patients. J Nucl Med. 2022;63:536–42. 10.2967/jnumed.121.262045. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 56.Donnelly DJ, Smith RA, Morin P, Lipovsek D, Gokemeijer J, Cohen D, et al. Synthesis and biologic evaluation of a novel (18)F-labeled adnectin as a PET radioligand for imaging PD-L1 expression. J Nucl Med. 2018;59:529–35. 10.2967/jnumed.117.199596. [DOI] [PubMed] [Google Scholar]
 - 57.Niemeijer AN, Leung D, Huisman MC, Bahce I, Hoekstra OS, van Dongen G, et al. Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer. Nat Commun. 2018;9:4664. 10.1038/s41467-018-07131-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 58.Bouleau A, Nozach H, Dubois S, Kereselidze D, Chevaleyre C, Wang CI, et al. Optimizing immuno-PET imaging of tumor PD-L1 expression: pharmacokinetic, biodistribution, and dosimetric comparisons of (89)Zr-labeled anti-PD-L1 antibody formats. J Nucl Med. 2022;63:1259–65. 10.2967/jnumed.121.262967. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 59.Tang Q, Chen Y, Li X, Long S, Shi Y, Yu Y, et al. The role of PD-1/PD-L1 and application of immune-checkpoint inhibitors in human cancers. Front Immunol. 2022;13:964442. 10.3389/fimmu.2022.964442. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 60.Pauken KE, Torchia JA, Chaudhri A, Sharpe AH, Freeman GJ. Emerging concepts in PD-1 checkpoint biology. Semin Immunol. 2021;52:101480. 10.1016/j.smim.2021.101480. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 61.Wang DR, Wu XL, Sun YL. Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response. Signal Transduct Target Ther. 2022;7:331. 10.1038/s41392-022-01136-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 62.Niemeijer AN, Oprea-Lager DE, Huisman MC, Hoekstra OS, Boellaard R, de Wit-van der Veen BJ, et al. Study of (89)Zr-pembrolizumab PET/CT in patients with advanced-stage non-small cell lung cancer. J Nucl Med. 2022;63:362–7. 10.2967/jnumed.121.261926. [DOI] [PubMed] [Google Scholar]
 - 63.da Cunha Santos G, Shepherd FA, Tsao MS. EGFR mutations and lung cancer. Annu Rev Pathol. 2011;6:49–69. 10.1146/annurev-pathol-011110-130206. [DOI] [PubMed] [Google Scholar]
 - 64.Yu JJ, Zhou DD, Yang XX, Cui B, Tan FW, Wang J, et al. TRIB3-EGFR interaction promotes lung cancer progression and defines a therapeutic target. Nat Commun. 2020;11:3660. 10.1038/s41467-020-17385-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 65.Wu SG, Shih JY. Management of acquired resistance to EGFR TKI-targeted therapy in advanced non-small cell lung cancer. Mol Cancer. 2018;17:38. 10.1186/s12943-018-0777-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 66.Tan CS, Kumarakulasinghe NB, Huang YQ, Ang YLE, Choo JR, Goh BC, et al. Third generation EGFR TKIs: current data and future directions. Mol Cancer. 2018;17:29. 10.1186/s12943-018-0778-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 67.Remon J, Steuer CE, Ramalingam SS, Felip E. Osimertinib and other third-generation EGFR TKI in EGFR-mutant NSCLC patients. Ann Oncol. 2018;29:i20–7. 10.1093/annonc/mdx704. [DOI] [PubMed] [Google Scholar]
 - 68.Su H, Seimbille Y, Ferl GZ, Bodenstein C, Fueger B, Kim KJ, et al. Evaluation of [(18)F]gefitinib as a molecular imaging probe for the assessment of the epidermal growth factor receptor status in malignant tumors. Eur J Nucl Med Mol Imaging. 2008;35:1089–99. 10.1007/s00259-007-0636-6. [DOI] [PubMed] [Google Scholar]
 - 69.Song Y, Xiao Z, Wang K, Wang X, Zhang C, Fang F, et al. Development and evaluation of (18)F-IRS for molecular imaging mutant EGF receptors in NSCLC. Sci Rep. 2017;7:3121. 10.1038/s41598-017-01443-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 70.van de Stadt EA, Yaqub M, Lammertsma AA, Poot AJ, Schober PR, Schuit RC, et al. Quantification of [(18)F]afatinib using PET/CT in NSCLC patients: a feasibility study. EJNMMI Res. 2020;10:97. 10.1186/s13550-020-00684-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 71.Bahce I, Smit EF, Lubberink M, van der Veldt AA, Yaqub M, Windhorst AD, et al. Development of [(11)C]erlotinib positron emission tomography for in vivo evaluation of EGF receptor mutational status. Clin Cancer Res. 2013;19:183–93. 10.1158/1078-0432.CCR-12-0289. [DOI] [PubMed] [Google Scholar]
 - 72.Meng X, Loo BW, Ma L, Murphy JD, Sun X, Yu J. Molecular imaging with 11C-PD153035 PET/CT predicts survival in non–small cell lung cancer treated with EGFR-TKI: a pilot study. Journal of Nuclear Medicine. 2011;52:1573–9. 10.2967/jnumed.111.092874. [DOI] [PubMed] [Google Scholar]
 - 73.Sun X, Xiao Z, Chen G, Han Z, Liu Y, Zhang C, et al. A PET imaging approach for determining EGFR mutation status for improved lung cancer patient management. Sci Transl Med. 2018;10. 10.1126/scitranslmed.aan8840. [DOI] [PubMed] [Google Scholar]
 - 74.Danti G, Berti V, Abenavoli E, Briganti V, Linguanti F, Mungai F, et al. Diagnostic imaging of typical lung carcinoids: relationship between MDCT, (111)In-Octreoscan and (18)F-FDG-PET imaging features with Ki-67 index. Radiol Med. 2020;125:715–29. 10.1007/s11547-020-01172-4. [DOI] [PubMed] [Google Scholar]
 - 75.O’Byrne KJ, Ennis JT, Freyne PJ, Clancy LJ, Prichard JS, Carney DN. Scintigraphic imaging of small-cell lung cancer with [111In] pentetreotide, a radiolabelled somatostatin analogue. Br J Cancer. 1994;69:762–6. 10.1038/bjc.1994.144. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 76.Lau SK, Johnson DS, Coel MN. Imaging of non-small-cell lung cancer with indium-111 pentetreotide. Clin Nucl Med. 2000;25:24–8. 10.1097/00003072-200001000-00006. [DOI] [PubMed] [Google Scholar]
 - 77.Kirsch CM, von Pawel J, Grau I, Tatsch K. Indium-111 pentetreotide in the diagnostic work-up of patients with bronchogenic carcinoma. Eur J Nucl Med. 1994;21:1318–25. 10.1007/bf02426696. [DOI] [PubMed] [Google Scholar]
 - 78.Graham MM, Gu X, Ginader T, Breheny P, Sunderland JJ. (68) Ga-DOTATOC imaging of neuroendocrine tumors: a systematic review and metaanalysis. J Nucl Med. 2017;58:1452–8. 10.2967/jnumed.117.191197. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 79.Lapa C, Hänscheid H, Wild V, Pelzer T, Schirbel A, Werner RA, et al. Somatostatin receptor expression in small cell lung cancer as a prognostic marker and a target for peptide receptor radionuclide therapy. Oncotarget. 2016;7:20033–40. 10.18632/oncotarget.7706. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 80.Deppen SA, Liu E, Blume JD, Clanton J, Shi C, Jones-Jackson LB, et al. Safety and efficacy of 68Ga-DOTATATE PET/CT for diagnosis, staging, and treatment management of neuroendocrine tumors. J Nucl Med. 2016;57:708–14. 10.2967/jnumed.115.163865. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 81.Deppen SA, Blume J, Bobbey AJ, Shah C, Graham MM, Lee P, et al. 68Ga-DOTATATE compared with 111In-DTPA-octreotide and conventional imaging for pulmonary and gastroenteropancreatic neuroendocrine tumors: a systematic review and metaanalysis. J Nucl Med. 2016;57:872–8. 10.2967/jnumed.115.165803. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 82.Liu F, Liu T, Xu X, Guo X, Li N, Xiong C, et al. Design, synthesis, and biological evaluation of (68)Ga-DOTA-PA1 for lung cancer: a novel PET tracer for multiple somatostatin receptor imaging. Mol Pharm. 2018;15:619–28. 10.1021/acs.molpharmaceut.7b00963. [DOI] [PubMed] [Google Scholar]
 - 83.Xia L, Guo X, Liu T, Xu X, Jiang J, Wang F, et al. Multimodality imaging of naturally active melanin nanoparticles targeting somatostatin receptor subtype 2 in human small-cell lung cancer. Nanoscale. 2019;11:14400–9. 10.1039/c9nr04371c. [DOI] [PubMed] [Google Scholar]
 - 84.Vag T, Gerngross C, Herhaus P, Eiber M, Philipp-Abbrederis K, Graner FP, et al. First experience with chemokine receptor CXCR4-targeted PET imaging of patients with solid cancers. J Nucl Med. 2016;57:741–6. 10.2967/jnumed.115.161034. [DOI] [PubMed] [Google Scholar]
 - 85.Gourni E, Demmer O, Schottelius M, D’Alessandria C, Schulz S, Dijkgraaf I, et al. PET of CXCR4 expression by a (68)Ga-labeled highly specific targeted contrast agent. J Nucl Med. 2011;52:1803–10. 10.2967/jnumed.111.098798. [DOI] [PubMed] [Google Scholar]
 - 86.Watts A, Singh B, Basher R, Singh H, Bal A, Kapoor R, et al. 68Ga-Pentixafor PET/CT demonstrating higher CXCR4 density in small cell lung carcinoma than in non-small cell variant. Eur J Nucl Med Mol Imaging. 2017;44:909–10. 10.1007/s00259-017-3622-7. [DOI] [PubMed] [Google Scholar]
 - 87.Buck AK, Haug A, Dreher N, Lambertini A, Higuchi T, Lapa C, et al. Imaging of C-X-C motif chemokine receptor 4 expression in 690 patients with solid or hematologic neoplasms using (68) Ga-PentixaFor PET. J Nucl Med. 2022. 10.2967/jnumed.121.263693. [DOI] [PubMed] [Google Scholar]
 - 88.Schottelius M, Ludescher M, Richter F, Kapp TG, Kessler H, Wester HJ. Validation of [(125)I]CPCR4.3 as an investigative tool for the sensitive and specific detection of hCXCR4 and mCXCR4 expression in vitro and in vivo. EJNMMI Res. 2019;9:75. 10.1186/s13550-019-0545-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 89.Lau J, Kwon D, Rousseau E, Zhang Z, Zeisler J, Uribe CF, et al. [(68)Ga]Ga/[(177)Lu]Lu-BL01, a novel theranostic pair for targeting C-X-C chemokine receptor 4. Mol Pharm. 2019;16:4688–95. 10.1021/acs.molpharmaceut.9b00808. [DOI] [PubMed] [Google Scholar]
 - 90.Weiss ID, Jacobson O, Kiesewetter DO, Jacobus JP, Szajek LP, Chen X, et al. Positron emission tomography imaging of tumors expressing the human chemokine receptor CXCR4 in mice with the use of 64Cu-AMD3100. Mol Imaging Biol. 2012;14:106–14. 10.1007/s11307-010-0466-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 91.Nimmagadda S, Pullambhatla M, Stone K, Green G, Bhuj-walla ZM, Pomper MG. Molecular imaging of CXCR4 receptor expression in human cancer xenografts with [64Cu]AMD3100 positron emission tomography. Cancer Res. 2010;70:3935–44. 10.1158/0008-5472.CAN-09-4396. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 92.Beer AJ, Schwaiger M. Imaging of integrin alphavbeta3 expression. Cancer Metastasis Rev. 2008;27:631–44. 10.1007/s10555-008-9158-3. [DOI] [PubMed] [Google Scholar]
 - 93.Chen H, Niu G, Wu H, Chen X. Clinical application of radiolabeled RGD peptides for PET imaging of integrin alphavbeta3. Theranostics. 2016;6:78–92. 10.7150/thno.13242. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 94.Beer AJ, Lorenzen S, Metz S, Herrmann K, Watzlowik P, Wester HJ, et al. Comparison of integrin alphaVbeta3 expression and glucose metabolism in primary and metastatic lesions in cancer patients: a PET study using 18F-galacto-RGD and 18F-FDG. J Nucl Med. 2008;49:22–9. 10.2967/jnumed.107.045864. [DOI] [PubMed] [Google Scholar]
 - 95.Mittra ES, Goris ML, Iagaru AH, Kardan A, Burton L, Berganos R, et al. Pilot pharmacokinetic and dosimetric studies of (18) F-FPPRGD2: a PET radiopharmaceutical agent for imaging α(v) β(3) integrin levels. Radiology. 2011;260:182–91. 10.1148/radiol.11101139. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 96.Liu S, Liu Z, Chen K, Yan Y, Watzlowik P, Wester HJ, et al. 18F-labeled galacto and PEGylated RGD dimers for PET imaging of αvβ3 integrin expression. Mol Imaging Biol. 2010;12:530–8. 10.1007/s11307-009-0284-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 97.Wan W, Guo N, Pan D, Yu C, Weng Y, Luo S, et al. First experience of 18F-alfatide in lung cancer patients using a new lyophilized kit for rapid radiofluorination. J Nucl Med. 2013;54:691–8. 10.2967/jnumed.112.113563. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 98.Gao S, Wu H, Li W, Zhao S, Teng X, Lu H, et al. A pilot study imaging integrin alphavbeta3 with RGD PET/CT in suspected lung cancer patients. Eur J Nucl Med Mol Imaging. 2015;42:2029–37. 10.1007/s00259-015-3119-1. [DOI] [PubMed] [Google Scholar]
 - 99.Wei Y, Qin X, Liu X, Zheng J, Luan X, Zhou Y, et al. Tumor angiogenesis at baseline identified by (18)F-Alfatide II PET/CT may predict survival among patients with locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy. J Transl Med. 2022;20:63. 10.1186/s12967-022-03256-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 100.Du X, Zhang Y, Chen L, Mi B, You Q, Xu Y, et al. Comparing the differential diagnostic values of (18)F-alfatide II PET/CT between tuberculosis and lung cancer patients. Contrast Media Mol Imaging. 2018;2018:8194678. 10.1155/2018/8194678. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 101.Mi B, Yu C, Pan D, Yang M, Wan W, Niu G, et al. Pilot prospective evaluation of (18)F-alfatide II for detection of skeletal metastases. Theranostics. 2015;5:1115–21. 10.7150/thno.12938. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 102.Kang F, Wang Z, Li G, Wang S, Liu D, Zhang M, et al. Inter-heterogeneity and intra-heterogeneity of alphavbeta3 in non-small cell lung cancer and small cell lung cancer patients as revealed by (68)Ga-RGD2 PET imaging. Eur J Nucl Med Mol Imaging. 2017;44:1520–8. 10.1007/s00259-017-3696-2. [DOI] [PubMed] [Google Scholar]
 - 103.Zheng K, Liang N, Zhang J, Lang L, Zhang W, Li S, et al. 68Ga-NOTA-PRGD2 PET/CT for integrin imaging in patients with lung cancer. J Nucl Med. 2015;56:1823–7. 10.2967/jnumed.115.160648. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 104.Kang F, Wang S, Tian F, Zhao M, Zhang M, Wang Z, et al. Comparing the diagnostic potential of 68Ga-alfatide II and 18F-FDG in differentiating between non-small cell lung cancer and tuberculosis. J Nucl Med. 2016;57:672–7. 10.2967/jnumed.115.167924. [DOI] [PubMed] [Google Scholar]
 - 105.Zhu Z, Miao W, Li Q, Dai H, Ma Q, Wang F, et al. 99mTc-3PRGD2 for integrin receptor imaging of lung cancer: a multicenter study. J Nucl Med. 2012;53:716–22. 10.2967/jnumed.111.098988. [DOI] [PubMed] [Google Scholar]
 - 106.Jin X, Liang N, Wang M, Meng Y, Jia B, Shi X, et al. Integrin imaging with (99m)Tc-3PRGD2 SPECT/CT shows high specificity in the diagnosis of lymph node metastasis from non-small cell lung cancer. Radiology. 2016;281:958–66. 10.1148/radiol.2016150813. [DOI] [PubMed] [Google Scholar]
 - 107.Arrieta O, Garcia-Perez FO, Michel-Tello D, Ramirez-Tirado LA, Pitalua-Cortes Q, Cruz-Rico G, et al. Response assessment of (68)Ga-DOTA-E-[c(RGDfK)](2) PET/CT in lung adenocarcinoma patients treated with nintedanib plus docetaxel. J Nucl Med. 2018;59:403–9. 10.2967/jnumed.117.192393. [DOI] [PubMed] [Google Scholar]
 - 108.Sharma P, Singh SS, Gayana S. Fibroblast activation protein inhibitor PET/CT: a promising molecular imaging tool. Clin Nucl Med. 2021;46:e141–50. 10.1097/rlu.0000000000003489. [DOI] [PubMed] [Google Scholar]
 - 109.Altmann A, Haberkorn U, Siveke J. The latest developments in imaging of fibroblast activation protein. J Nucl Med. 2021;62:160–7. 10.2967/jnumed.120.244806. [DOI] [PubMed] [Google Scholar]
 - 110.Giesel FL, Adeberg S, Syed M, Lindner T, Jimenez-Franco LD, Mavriopoulou E, et al. FAPI-74 PET/CT using either (18)F-AlF or cold-kit (68)Ga labeling: biodistribution, radiation dosimetry, and tumor delineation in lung cancer patients. J Nucl Med. 2021;62:201–7. 10.2967/jnumed.120.245084. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 111.Kratochwil C, Flechsig P, Lindner T, Abderrahim L, Altmann A, Mier W, et al. (68)Ga-FAPI PET/CT: tracer uptake in 28 different kinds of cancer. J Nucl Med. 2019;60:801–5. 10.2967/jnumed.119.227967. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 112.Zhou X, Wang S, Xu X, Meng X, Zhang H, Zhang A, et al. Higher accuracy of [(68) Ga]Ga-DOTA-FAPI-04 PET/CT comparing with 2-[(18)F]FDG PET/CT in clinical staging of NSCLC. Eur J Nucl Med Mol Imaging. 2022;49:2983–93. 10.1007/s00259-022-05818-5. [DOI] [PubMed] [Google Scholar]
 - 113.Zboralski D, Hoehne A, Bredenbeck A, Schumann A, Nguyen M, Schneider E, et al. Preclinical evaluation of FAP-2286 for fibroblast activation protein targeted radionuclide imaging and therapy. Eur J Nucl Med Mol Imaging. 2022;49:3651–67. 10.1007/s00259-022-05842-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 114.Pang Y, Zhao L, Meng T, Xu W, Lin Q, Wu H, et al. PET imaging of fibroblast activation protein in various types of cancers by using (68)Ga-FAP-2286: comparison with (18)F-FDG and (68)Ga-FAPI-46 in a single-center, prospective study. J Nucl Med. 2022. 10.2967/jnumed.122.264544. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 115.Chiang EY, Mellman I. TIGIT-CD226-PVR axis: advancing immune checkpoint blockade for cancer immunotherapy. J Immunother Cancer. 2022;10. 10.1136/jitc-2022-004711. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 116.Chauvin JM, Zarour HM. TIGIT in cancer immunotherapy. J Immunother Cancer. 2020;8. 10.1136/jitc-2020-000957. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 117.Wang X, Zhou M, Chen B, Liu H, Fang J, Xiang S, et al. Preclinical and exploratory human studies of novel (68)Ga-labeled D-peptide antagonist for PET imaging of TIGIT expression in cancers. Eur J Nucl Med Mol Imaging. 2022;49:2584–94. 10.1007/s00259-021-05672-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 118.Jiang J, Zhang M, Li G, Liu T, Wan Y, Liu Z, et al. Evaluation of 64Cu radiolabeled anti-hPD-L1 Nb6 for positron emission tomography imaging in lung cancer tumor mice model. Bioorganic & Medicinal Chemistry Letters. 2020; 30. 10.1016/j.bmcl.2019.126915. [DOI] [PubMed] [Google Scholar]
 - 119.Verona M, Rubagotti S, Croci S, Sarpaki S, Borgna F, Tosato M, et al. Preliminary study of a 1,5-benzodiazepine-derivative labelled with indium-111 for CCK-2 receptor targeting. Molecules. 2021; 26. 10.3390/molecules26040918. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 120.van de Stadt EA, Yaqub M, Lammertsma AA, Poot AJ, Schuit RC, Remmelzwaal S, et al. Identifying advanced stage NSCLC patients who benefit from afatinib therapy using (18)F-afatinib PET/CT imaging. Lung Cancer. 2021;155:156–62. 10.1016/j.lungcan.2021.03.01. [DOI] [PubMed] [Google Scholar]
 - 121.van Loon J, Even AJG, Aerts H, Ollers M, Hoebers F, van Elmpt W, et al. PET imaging of zirconium-89 labelled cetuximab: a phase I trial in patients with head and neck and lung cancer. Radiother Oncol. 2017;122:267–73. 10.1016/j.radonc.2016.11.020. [DOI] [PubMed] [Google Scholar]
 - 122.Huang S, Han Y, Chen M, Hu K, Qi Y, Sun P, et al. Radiosynthesis and biological evaluation of (18)F-labeled 4-anilino-quinazoline derivative ((18)F-FEA-Erlotinib) as a potential EGFR PET agent. Bioorg Med Chem Lett. 2018;28:1143–8. 10.1016/j.bmcl.2017.08.066. [DOI] [PubMed] [Google Scholar]
 - 123.Lu X, Wang C, Li X, Gu P, Jia L, Zhang L. Synthesis and preliminary evaluation of (18)F-icotinib for EGFR-targeted PET imaging of lung cancer. Bioorg Med Chem. 2019;27:545–51. 10.1016/j.bmc.2018.12.034. [DOI] [PubMed] [Google Scholar]
 - 124.Yamaguchi A, Achmad A, Hanaoka H, Heryanto YD, Bhattarai A, Ratianto, et al. Immuno-PET imaging for non-invasive assessment of cetuximab accumulation in non-small cell lung cancer. BMC Cancer. 2019; 19. 10.1186/s12885-019-6238-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 125.Li K, Tavare R, Zettlitz KA, Mumenthaler SM, Mallick P, Zhou Y, et al. Anti-MET immunoPET for non-small cell lung cancer using novel fully human antibody fragments. Mol Cancer Ther. 2014;13:2607–17. 10.1158/1535-7163.MCT-14-0363. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 126.Han Z, Xiao Y, Wang K, Yan J, Xiao Z, Fang F, et al. Development of a SPECT tracer to image c-Met expression in a xenograft model of non-small cell lung cancer. J Nucl Med. 2018;59:1686–91. 10.2967/jnumed.117.206730. [DOI] [PubMed] [Google Scholar]
 - 127.Lin Q, Zhang Y, Fu Z, Hu B, Si Z, Zhao Y, et al. Synthesis and evaluation of (18)F labeled crizotinib derivative [(18)F]FPC as a novel PET probe for imaging c-MET-positive NSCLC tumor. Bioorg Med Chem. 2020;28:115577. 10.1016/j.bmc.2020.115577. [DOI] [PubMed] [Google Scholar]
 - 128.Pool M, Terwisscha van Scheltinga AGT, Kol A, Giesen D, de Vries EGE, Lub-de Hooge MN. (89)Zr-Onartuzumab PET imaging of c-MET receptor dynamics. Eur J Nucl Med Mol Imaging. 2017;44:1328–36. 10.1007/s00259-017-3672-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 129.Terwisscha van Scheltinga AG, Lub-de Hooge MN, Hinner MJ, Verheijen RB, Allersdorfer A, Hulsmeyer M, et al. In vivo visualization of MET tumor expression and anticalin biodistribution with the MET-specific anticalin 89Zr-PRS-110 PET tracer. J Nucl Med. 2014;55:665–71. 10.2967/jnumed.113.124941. [DOI] [PubMed] [Google Scholar]
 - 130.Cavaliere A, Sun S, Lee S, Bodner J, Li Z, Huang Y, et al. Development of [(89)Zr]ZrDFO-amivantamab bispecific to EGFR and c-MET for PET imaging of triple-negative breast cancer. Eur J Nucl Med Mol Imaging. 2021;48:383–94. 10.1007/s00259-020-04978-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 131.Gnesin S, Muller J, Burger IA, Meisel A, Siano M, Fruh M, et al. Radiation dosimetry of (18)F-AzaFol: a first in-human use of a folate receptor PET tracer. EJNMMI Res. 2020;10:32. 10.1186/s13550-020-00624-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 132.Feng H, Zhang H, Wang M, Vannam R, Wang H, Yan X, et al. Improving tumor-to-background contrast through hydrophilic tetrazines: the construction of (18) F-labeled PET agents targeting nonsmall cell lung carcinoma. Chemistry. 2020;26:4690–4. 10.1002/chem.202000028. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 133.Chomet M, Schreurs M, Nguyen M, Howng B, Villanueva R, Krimm M, et al. The tumor targeting performance of anti-CD166 Probody drug conjugate CX-2009 and its parental derivatives as monitored by (89)Zr-immuno-PET in xenograft bearing mice. Theranostics. 2020;10:5815–28. 10.7150/thno.44334. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 134.Halley A, Hugentobler A, Icard P, Porret E, Sobrio F, Lerochais JP, et al. Efficiency of 18F-FDG and 99mTc-depreotide SPECT in the diagnosis of malignancy of solitary pulmonary nodules. Eur J Nucl Med Mol Imaging. 2005;32:1026–32. 10.1007/s00259-005-1812-1. [DOI] [PubMed] [Google Scholar]
 - 135.Dimitrakopoulou-Strauss A, Georgoulias V, Eisenhut M, Herth F, Koukouraki S, Macke HR, et al. Quantitative assessment of SSTR2 expression in patients with non-small cell lung cancer using(68)Ga-DOTATOC PET and comparison with (18)F-FDG PET. Eur J Nucl Med Mol Imaging. 2006;33:823–30. 10.1007/s00259-005-0063-5. [DOI] [PubMed] [Google Scholar]
 - 136.Lewin J, Cullinane C, Akhurst T, Waldeck K, Watkins DN, Rao A, et al. Peptide receptor chemoradionuclide therapy in small cell carcinoma: from bench to bedside. Eur J Nucl Med Mol Imaging. 2015;42:25–32. 10.1007/s00259-014-2888-2. [DOI] [PubMed] [Google Scholar]
 - 137.Poret B, Desrues L, Bonin MA, Pedard M, Dubois M, Leduc R, et al. Development of novel (111)-In-labelled DOTA urotensin II analogues for targeting the UT receptor overexpressed in solid tumours. Biomolecules. 2020; 10. 10.3390/biom10030471. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 138.England CG, Jiang D, Hernandez R, Sun H, Valdovinos HF, Ehlerding EB, et al. ImmunoPET imaging of CD146 in murine models of intrapulmonary metastasis of non-small cell lung cancer. Mol Pharm. 2017;14:3239–47. 10.1021/acs.molpharmaceut.7b00216. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 139.Wang H, Meng AM, Li SH, Zhou XL. A nanobody targeting carcinoembryonic antigen as a promising molecular probe for non-small cell lung cancer. Mol Med Rep. 2017;16:625–30. 10.3892/mmr.2017.6677. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 140.Azad BB, Chatterjee S, Lesniak WG, Lisok A, Pullambhatla M, Bhujwalla ZM, et al. A fully human CXCR4 antibody demonstrates diagnostic utility and therapeutic efficacy in solid tumor xenografts. Oncotarget. 2016;7:12344–58. 10.18632/oncotarget.7111. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 141.Luo H, England CG, Graves SA, Sun H, Liu G, Nickles RJ, et al. PET imaging of VEGFR-2 expression in lung cancer with 64Cu-labeled ramucirumab. J Nucl Med. 2016;57:285–90. 10.2967/jnumed.115.166462. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 142.Kang L, Jiang D, Ehlerding EB, Barnhart TE, Ni D, Engle JW, et al. Noninvasive trafficking of brentuximab vedotin and PET imaging of CD30 in lung cancer murine models. Mol Pharm. 2018;15:1627–34. 10.1021/acs.molpharmaceut.7b01168. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 143.Ehlerding EB, England CG, Jiang D, Graves SA, Kang L, Lacognata S, et al. CD38 as a PET imaging target in lung cancer. Mol Pharm. 2017;14:2400–6. 10.1021/acs.molpharmaceut.7b00298. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 144.Kunihiro AG, Sarrett SM, Lastwika KJ, Solan JL, Pisarenko T, Keinänen O, et al. CD133 as a biomarker for an autoantibody-to-immunoPET paradigm for the early detection of small cell lung cancer. J Nucl Med. 2022;63:1701–7. 10.2967/jnumed.121.263511. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 145.Krug LM, Milton DT, Jungbluth AA, Chen LC, Quaia E, Pandit-Taskar N, et al. Targeting Lewis Y (Le(y)) in small cell lung cancer with a humanized monoclonal antibody, hu3S193: a pilot trial testing two dose levels. J Thorac Oncol. 2007;2:947–52. 10.1097/JTO.0b013e3181560dcc. [DOI] [PubMed] [Google Scholar]
 - 146.Quaia E, Krug LM, Pandit-Taskar N, Nagel A, Reuter VE, Humm J, et al. The value of gamma camera and computed tomography data set coregistration to assess Lewis Y antigen targeting in small cell lung cancer by (111)Indium-labeled humanized monoclonal antibody 3S193. Eur J Radiol. 2008;67:292–9. 10.1016/j.ejrad.2007.07.004. [DOI] [PubMed] [Google Scholar]
 - 147.Shaghaghi Z, Abedi SM, Hosseinimehr SJ. Tricine co-ligand improved the efficacy of (99m)Tc-HYNIC-(Ser)3–J18 peptide for targeting and imaging of non-small-cell lung cancer. Biomed Pharmacother. 2018;104:325–31. 10.1016/j.biopha.2018.05.037. [DOI] [PubMed] [Google Scholar]
 - 148.Hausner SH, Bold RJ, Cheuy LY, Chew HK, Daly ME, Davis RA, et al. Preclinical development and first-in-human imaging of the integrin αvβ6 with [18F]αvβ6-binding peptide in metastatic carcinoma. Clinical Cancer Research. 2019;25:1206–15. 10.1158/1078-0432.Ccr-8-2665. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 149.Flechsig P, Lindner T, Loktev A, Roesch S, Mier W, Sauter M, et al. PET/CT imaging of NSCLC with a alphavbeta6 integrintargeting peptide. Mol Imaging Biol. 2019;21:973–83. 10.1007/s11307-018-296-6. [DOI] [PubMed] [Google Scholar]
 - 150.Ren J, Zhu S, Zhang G, Tan X, Qiu L, Lin J, et al. (68)Ga-labeled cystine knot peptide targeting integrin alphavbeta6 for lung cancer PET imaging. Mol Pharm. 2022;19:2620–8. 10.1021/acs.molpharmaceut.2c00313. [DOI] [PubMed] [Google Scholar]
 - 151.Quigley NG, Tomassi S, Di Leva FS, Di Maro S, Richter F, Steiger K, et al. Click-Chemistry (CuAAC) Trimerization of an alphav beta6 integrin targeting Ga-68-peptide: enhanced contrast for in-vivo PET imaging of human lung adenocarcinoma xenografts. Chembiochem. 2020;21:2836–43. 10.1002/cbic.202000200. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 152.Notni J, Reich D, Maltsev OV, Kapp TG, Steiger K, Hoffmann F, et al. In vivo PET imaging of the cancer integrin alphavbeta6 using (68)Ga-labeled cyclic RGD nonapeptides. J Nucl Med. 2017;58:671–7. 10.2967/jnumed.116.182824. [DOI] [PubMed] [Google Scholar]
 - 153.Baum RP, Kulkarni HR, Muller D, Satz S, Danthi N, Kim YS, et al. First-in-human study demonstrating tumor-angiogenesis by PET/CT imaging with (68)Ga-NODAGA-THERANOST, a high-affinity peptidomimetic for alphavbeta3 integrin receptor targeting. Cancer Biother Radiopharm. 2015;30:152–9. 10.1089/cbr.2014.1747. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 154.Liu B, Feng Y, Zhang JY, Li HM, Li XD, Jia HL, et al. Imaging of bronchioloalveolar carcinoma in the mice with the alpha-beta3 integrin-targeted tracer (99m)Tc-RGD-4CK. Transl Res. 2013;162:174–80. 10.1016/j.trsl.2013.06.006. [DOI] [PubMed] [Google Scholar]
 - 155.Huang CW, Hsieh WC, Hsu ST, Lin YW, Chung YH, Chang WC, et al. The use of PET imaging for prognostic integrin alpha2beta1 phenotyping to detect non-small cell lung cancer and monitor drug resistance responses. Theranostics. 2017;7:4013–28. 10.7150/thno.19304. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 156.Zheng Y, Wang H, Tan H, Cui X, Yao S, Zang J, et al. Evaluation of lung cancer and neuroendocrine neoplasm in a single scan by targeting both somatostatin receptor and integrin alphavbeta3. Clin Nucl Med. 2019;44:687–94. 10.1097/RLU.0000000000002680. [DOI] [PubMed] [Google Scholar]
 - 157.Chen L, Wang L, Yan J, Ma C, Lu J, Chen G, et al. 131I-labeled monoclonal antibody targeting neuropilin receptor type-2 for tumor SPECT imaging. Int J Oncol. 2017;50:649–59. 10.3892/ijo.2016.3. [DOI] [PubMed] [Google Scholar]
 - 158.Ehlerding EB, England CG, Majewski RL, Valdovinos HF, Jiang D, Liu G, et al. ImmunoPET imaging of CTLA-4 expression in mouse models of non-small cell lung cancer. Mol Pharm. 2017;14:1782–9. 10.1021/acs.molpharmaceut.7b00056. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 159.Kok IC, Hooiveld JS, van de Donk PP, Giesen D, van der Veen EL, Lub-de Hooge MN, et al. (89)Zr-pembrolizumab imaging as a non-invasive approach to assess clinical response to PD-1 blockade in cancer. Ann Oncol. 2022;33:80–8. 10.1016/jannonc.2021.10.213. [DOI] [PubMed] [Google Scholar]
 - 160.Kim HY, Li R, Ng TSC, Courties G, Rodell CB, Prytyskach M, et al. Quantitative imaging of tumor-associated macrophages and their [DOI] [PMC free article] [PubMed]
 - 161.Wu Y, Hao G, Ramezani S, Saha D, Zhao D, Sun X, et al. [(68) Ga]-HP-DO3A-nitroimidazole: a promising agent for PET detection of tumor hypoxia. Contrast Media Mol Imaging. 2015;10:465–72. 10.1002/cmmi.1649. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 162.Castellanos E, Feld E, Horn L. Driven by mutations: the predictive value of mutation subtype in EGFR-mutated non-small cell lung cancer. J Thorac Oncol. 2017;12:612–23. 10.1016/j.jtho.2016.12.014. [DOI] [PubMed] [Google Scholar]
 - 163.Eychenne R, Bouvry C, Bourgeois M, Loyer P, Benoist E, Lepareur N. Overview of radiolabeled somatostatin analogs for cancer imaging and therapy. Molecules. 2020; 25. 10.3390/molecules25174012. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 164.Edelman MJ, Clamon G, Kahn D, Magram M, Lister-James J, Line BR. Targeted radiopharmaceutical therapy for advanced lung cancer: phase I trial of rhenium Re188 P2045, a somatostatin analog. J Thorac Oncol. 2009;4:1550–4. 10.1097/JTO.0b013e3181bf1070. [DOI] [PubMed] [Google Scholar]
 - 165.Poeppel TD, Binse I, Petersenn S, Lahner H, Schott M, Antoch G, et al. 68Ga-DOTATOC versus 68Ga-DOTATATE PET/CT in functional imaging of neuroendocrine tumors. J Nucl Med. 2011;52:1864–70. 10.2967/jnumed.111.091165. [DOI] [PubMed] [Google Scholar]
 - 166.Yang J, Kan Y, Ge BH, Yuan L, Li C, Zhao W. Diagnostic role of Gallium-68 DOTATOC and Gallium-68 DOTATATE PET in patients with neuroendocrine tumors: a meta-analysis. Acta Radiol. 2014;55:389–98. 10.1177/0284185113496679. [DOI] [PubMed] [Google Scholar]
 - 167.Brabander T, van der Zwan WA, Teunissen JJM, Kam BLR, Feelders RA, de Herder WW, et al. Long-term efficacy, survival, and safety of [(177)Lu-DOTA(0), Tyr(3)]octreotate in patients with gastroenteropancreatic and bronchial neuroendocrine tumors. Clin Cancer Res. 2017;23:4617–24. 10.1158/1078-0432.CCR-16-2743. [DOI] [PubMed] [Google Scholar]
 - 168.Hognasbacka A, Poot AJ, Vugts DJ, van Dongen G, Windhorst AD. The development of positron emission tomography tracers for in vivo targeting the kinase domain of the epidermal growth factor receptor. Pharmaceuticals (Basel). 2022;15. 10.3390/ph15040450. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 169.Lindner T, Loktev A, Altmann A, Giesel F, Kratochwil C, Debus J, et al. Development of quinoline-based theranostic ligands for the targeting of fibroblast activation protein. J Nucl Med. 2018;59:1415–22. 10.2967/jnumed.118.210443. [DOI] [PubMed] [Google Scholar]
 - 170.Pandit-Taskar N Targeted radioimmunotherapy and theranostics with alpha emitters. J Med Imaging Radiat Sci. 2019;50:S41–s4. 10.1016/j.jmir.2019.07.006. [DOI] [PubMed] [Google Scholar]
 - 171.Bailly C, Vidal A, Bonnemaire C, Kraeber-Bodéré F, Chérel M, Pallardy A, et al. Potential for nuclear medicine therapy for glioblastoma treatment. Front Pharmacol. 2019;10:772. 10.3389/fphar.2019.00772. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 172.Chen S, Yu L, Jiang C, Zhao Y, Sun D, Li S, et al. Pivotal study of iodine-131–labeled chimeric tumor necrosis treatment radioimmunotherapy in patients with advanced lung cancer. Journal of Clinical Oncology. 2005;23:1538–47. 10.1200/jco.2005.06.108. [DOI] [PubMed] [Google Scholar]
 - 173.Yu L, Ju DW, Chen W, Li T, Xu Z, Jiang C, et al. 131I-chTNT radioimmunotherapy of 43 patients with advanced lung cancer. Cancer Biother Radiopharm. 2006;21:5–14. 10.1089/cbr.2006.21.5. [DOI] [PubMed] [Google Scholar]
 - 174.Wang H, Cao C, Li B, Chen S, Yin J, Shi J, et al. Immunogenicity of iodine 131 chimeric tumor necrosis therapy monoclonal antibody in advanced lung cancer patients. Cancer Immunol Immunother. 2008;57:677–84. 10.1007/s00262-007-0406-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 175.Navalkissoor S, Grossman A. Targeted alpha particle therapy for neuroendocrine tumours: the next generation of peptide receptor radionuclide therapy. Neuroendocrinology. 2019;108:256–64. 10.1159/000494760. [DOI] [PubMed] [Google Scholar]
 - 176.Pouget JP, Constanzo J. Revisiting the radiobiology of targeted alpha therapy. Front Med (Lausanne). 2021;8:692436. 10.3389/fmed.2021.692436. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 177.Pandit-Taskar N, Larson SM, Carrasquillo JA. Bone-seeking radiopharmaceuticals for treatment of osseous metastases, part 1: α therapy with 223Ra-dichloride. J Nucl Med. 2014;55:268–74. 10.2967/jnumed.112.112482. [DOI] [PubMed] [Google Scholar]
 - 178.Lakes AL, An DD, Gauny SS, Ansoborlo C, Liang BH, Rees JA, et al. Evaluating (225)Ac and (177)Lu radioimmunoconjugates against antibody-drug conjugates for small-cell lung cancer. Mol Pharm. 2020;17:4270–9. 10.1021/acs.molpharmaceut.0c00703. [DOI] [PubMed] [Google Scholar]
 - 179.Ballal S, Yadav MP, Bal C, Sahoo RK, Tripathi M. Broadening horizons with (225)Ac-DOTATATE targeted alpha therapy for gastroenteropancreatic neuroendocrine tumour patients stable or refractory to (177)Lu-DOTATATE PRRT: first clinical experience on the efficacy and safety. Eur J Nucl Med Mol Imaging. 2020;47:934–46. 10.1007/s00259-019-04567-2. [DOI] [PubMed] [Google Scholar]
 - 180.Jadvar H, Colletti PM. Targeted α-therapy in non-prostate malignancies. Eur J Nucl Med Mol Imaging. 2021;49:47–53. 10.1007/s00259-021-05405-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 181.Tafreshi NK, Pandya DN, Tichacek CJ, Budzevich MM, Wang Z, Reff JN, et al. Preclinical evaluation of [(225)Ac]Ac-DOTATATE for treatment of lung neuroendocrine neoplasms. Eur J Nucl Med Mol Imaging. 2021;48:3408–21. 10.1007/s00259-021-05315-1. [DOI] [PubMed] [Google Scholar]
 - 182.Jackson MR, Falzone N, Vallis KA. Advances in anticancer radiopharmaceuticals. Clin Oncol (R Coll Radiol). 2013;25:604–9. 10.1016/j.clon.2013.06.004. [DOI] [PubMed] [Google Scholar]
 - 183.Alcocer Ávila ME, Hindié E, Champion C. How to explain the sensitivity of DNA double-strand breaks yield to (125)I position? Int J Radiat Biol. 2022:1–6. 10.1080/09553002.2022.2047822. [DOI] [PubMed] [Google Scholar]
 - 184.Li L, Quang TS, Gracely EJ, Kim JH, Emrich JG, Yaeger TE, et al. A phase II study of anti-epidermal growth factor receptor radioimmunotherapy in the treatment of glioblastoma multiforme. J Neurosurg. 2010;113:192–8. 10.3171/2010.2.Jns091211. [DOI] [PubMed] [Google Scholar]
 - 185.Grudzinski J, Marsh I, Titz B, Jeffery J, Longino M, Kozak K, et al. CLR 125 auger electrons for the targeted radiotherapy of triple-negative breast cancer. Cancer Biother Radiopharm. 2018;33:87–95. 10.1089/cbr.2017.2376. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 186.Reubi JC, Waser B. Triple-peptide receptor targeting in vitro allows detection of all tested gut and bronchial NETs. J Nucl Med. 2015;56:613–5. 10.2967/jnumed.114.153189. [DOI] [PubMed] [Google Scholar]
 - 187.Fawwaz M, Mishiro K, Nishii R, Sawazaki I, Shiba K, Kinuya S, et al. Synthesis and fundamental evaluation of radioiodinated rociletinib (CO-1686) as a probe to lung cancer with L858R/T790M mutations of epidermal growth factor receptor (EGFR). Molecules. 2020;25. 10.3390/molecules25122914. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 188.Takagi H, Zhao S, Muto S, Yokouchi H, Nishihara H, Harada T, et al. Delta-like 1 homolog (DLK1) as a possible therapeutic target and its application to radioimmunotherapy using (125) I-labelled anti-DLK1 antibody in lung cancer models (HOT1801 and FIGHT004). Lung Cancer. 2021;153:134–42. 10.1016/j.lungcan.2021.01.014. [DOI] [PubMed] [Google Scholar]
 - 189.Cornelissen B, Vallis KA. Targeting the nucleus: an overview of auger-electron radionuclide therapy. Curr Drug Discov Technol. 2010;7:263–79. 10.2174/157016310793360657. [DOI] [PubMed] [Google Scholar]
 - 190.Santoro L, Boutaleb S, Garambois V, Bascoul-Mollevi C, Boudousq V, Kotzki PO, et al. Noninternalizing monoclonal antibodies are suitable candidates for 125I radioimmunotherapy of small-volume peritoneal carcinomatosis. J Nucl Med. 2009;50:2033–41. 10.2967/jnumed.109.066993. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 191.Idrissou MB, Pichard A, Tee B, Kibedi T, Poty S, Pouget JP. Targeted radionuclide therapy using auger electron emitters: the quest for the right vector and the right radionuclide. Pharmaceutics. 2021;13. 10.3390/pharmaceutics13070980. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 192.Violet JA, Farrugia G, Skene C, White J, Lobachevsky P, Martin R. Triple targeting of auger emitters using octreotate conjugated to a DNA-binding ligand and a nuclear localizing signal. Int J Radiat Biol. 2016;92:707–15. 10.3109/09553002.2016.1157278. [DOI] [PubMed] [Google Scholar]
 - 193.Pusceddu S, Prinzi N, Tafuto S, Ibrahim T, Filice A, Brizzi MP, et al. Association of upfront peptide receptor radionuclide therapy with progression-free survival among patients with enteropancreatic neuroendocrine tumors. JAMA Netw Open. 2022;5:e220290. 10.1001/jamanetworkopen.2022.0290. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 194.Satapathy S, Mittal BR. 177Lu-DOTATATE peptide receptor radionuclide therapy versus everolimus in advanced pancreatic neuroendocrine tumors: a systematic review and meta-analysis. Nucl Med Commun. 2019;40:1195–203. 10.1097/mnm.0000000000001103. [DOI] [PubMed] [Google Scholar]
 - 195.Ricci C, Lamberti G, Ingaldi C, Mosconi C, Pagano N, Alberici L, et al. Treatment of advanced gastro-entero-pancreatic neuro-endocrine tumors: a systematic review and network meta-analysis of phase III randomized controlled trials. Cancers (Basel). 2021; 13. 10.3390/cancers13020358. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 196.Ballal S, Yadav MP, Damle NA, Sahoo RK, Bal C . Concomitant 177Lu-DOTATATE and capecitabine therapy in patients with advanced neuroendocrine tumors: a long-term-outcome, toxicity, survival, and quality-of-life study. Clin Nucl Med. 2017;42:e457–66. 10.1097/rlu.0000000000001816. [DOI] [PubMed] [Google Scholar]
 - 197.Kim C, Liu SV, Subramaniam DS, Torres T, Loda M, Esposito G, et al. Phase I study of the (177)Lu-DOTA(0)-Tyr(3)-octreotate (lutathera) in combination with nivolumab in patients with neuroendocrine tumors of the lung. J Immunother Cancer. 2020;8. 10.1136/jitc-2020-000980. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 198.Hagemann UB, Ellingsen C, Schuhmacher J, Kristian A, Mobergslien A, Cruciani V, et al. Mesothelin-targeted thorium-227 conjugate (MSLN-TTC): preclinical evaluation of a new targeted alpha therapy for mesothelin-positive cancers. Clin Cancer Res. 2019;25:4723–34. 10.1158/1078-0432.CCR-18-3476. [DOI] [PubMed] [Google Scholar]
 - 199.Chen Z, Gao H, Li M, Fang S, Li G, Guo L. Targeted radionuclide therapy for lung cancer with iodine-131-labeled peptide in a nude-mouse model. Anticancer Drugs. 2017;28:480–8. 10.1097/CAD.0000000000000481. [DOI] [PubMed] [Google Scholar]
 - 200.Ming H, Fang L, Gao J, Li C, Ji Y, Shen Y, et al. Antitumor effect of nanoparticle (131)I-labeled arginine-glycine-aspartate-bovine serum albumin-polycaprolactone in lung cancer. AJR Am J Roentgenol. 2017;208:1116–26. 10.2214/AJR.16.16947. [DOI] [PubMed] [Google Scholar]
 - 201.Ince I, Muftuler ZB, Medine EI, Guldu OK, Takan G, Ergonul A, et al. Thymoquinone glucuronide conjugated magnetic nanoparticle for bimodal imaging and treatment of cancer as a novel theranostic platform. Curr Radiopharm. 2021;14:23–36. 10.2174/2211556009666200413085800. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 202.Liu X, Jiang C, Zhang D, Gao M, Peng F, Huang D, et al. Tumor necrosis targeted radiotherapy of non-small cell lung cancer using radioiodinated protohypericin in a mouse model. Oncotarget. 2015;6:26400–10. 10.18632/oncotarget.4568. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 203.Baum RP, Schuchardt C, Singh A, Chantadisai M, Robiller FC, Zhang J, et al. Feasibility, biodistribution, and preliminary dosimetry in peptide-targeted radionuclide therapy of diverse adenocarcinomas using (177)Lu-FAP-2286: first-in-humans results. J Nucl Med. 2022;63:415–23. 10.2967/jnumed.120.259192. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 204.Li X, Fu H, Wang J, Liu W, Deng H, Zhao P, et al. Multimodality labeling of NGR-functionalized hyaluronan for tumor targeting and radiotherapy. Eur J Pharm Sci. 2021;161:105775. 10.1016/j.ejps.2021.105775. [DOI] [PubMed] [Google Scholar]
 - 205.Stein R, Govindan SV, Chen S, Reed L, Richel H, Griffiths GL, et al. Radioimmunotherapy of a human lung cancer xenograft with monoclonal antibody RS7: evaluation of (177)Lu and comparison of its efficacy with that of (90)Y and residualizing (131) I. J Nucl Med. 2001;42:967–74. [PubMed] [Google Scholar]
 - 206.Zhao L, Chen H, Guo Z, Fu K, Yao L, Fu L, et al. Targeted radionuclide therapy in patient-derived xenografts using (177) Lu-EB-RGD. Mol Cancer Ther. 2020;19:2034–43. 10.1158/1535-7163.MCT-19-1098. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 207.Pirooznia N, Abdi K, Beiki D, Emami F, Arab SS, Sabzevari O, et al. (177)Lu-labeled cyclic RGD peptide as an imaging and targeted radionuclide therapeutic agent in non-small cell lung cancer: biological evaluation and preclinical study. Bioorg Chem. 2020;102:104100. 10.1016/j.bioorg.2020.104100. [DOI] [PubMed] [Google Scholar]
 - 208.Subbiah V, Erwin W, Mawlawi O, McCoy A, Wages D, Wheeler C, et al. Phase I study of P-cadherin-targeted radioimmunotherapy with (90)Y-FF-21101 monoclonal antibody in solid tumors. Clin Cancer Res. 2020;26:5830–42. 10.1158/1078-0432.CCR-20-003. [DOI] [PubMed] [Google Scholar]
 - 209.Yoshioka H, Yamamoto S, Hanaoka H, Iida Y, Paudyal P, Higuchi T, et al. In vivo therapeutic effect of CDH3/P-cadherintargeting radioimmunotherapy. Cancer Immunol Immunother. 2012;61:1211–20. 10.1007/s00262-011-1186-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 210.Kunikowska J, Krolicki L, Hubalewska-Dydejczyk A, Mikolajczak R, Sowa-Staszczak A, Pawlak D. Clinical results of radionuclide therapy of neuroendocrine tumours with 90Y-DOTATATE and tandem 90Y/177Lu-DOTATATE: which is a better therapy option? Eur J Nucl Med Mol Imaging. 2011;38:1788–97. 10.1007/s00259-011-1833-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 211.Chang YJ, Ho CL, Cheng KH, Kuo WI, Lee WC, Lan KL, et al. Biodistribution, pharmacokinetics and radioimmunotherapy of (188)Re-cetuximab in NCI-H292 human lung tumor-bearing nude mice. Invest New Drugs. 2019;37:961–72. 10.1007/s10637-018-00718-8. [DOI] [PubMed] [Google Scholar]
 - 212.Xiao J, Xu X, Li X, Li Y, Liu G, Tan H, et al. Re-188 enhances the inhibitory effect of bevacizumab in non-small-cell lung cancer. Molecules. 2016;21. 10.3390/molecules21101308. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 213.Munaweera I, Shi Y, Koneru B, Saez R, Aliev A, Di Pasqua AJ, et al. Chemoradiotherapeutic magnetic nanoparticles for targeted treatment of nonsmall cell lung cancer. Mol Pharm. 2015;12:3588–96. 10.1021/acs.molpharmaceut.5b00304. [DOI] [PubMed] [Google Scholar]
 - 214.Nooreldeen R, Bach H. Current and future development in lung cancer diagnosis. Int J Mol Sci. 2021;22. 10.3390/ijms22168661. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 215.Rashidian M, Ingram JR, Dougan M, Dongre A, Whang KA, LeGall C, et al. Predicting the response to CTLA-4 blockade by longitudinal noninvasive monitoring of CD8 T cells. J Exp Med. 2017;214:2243–55. 10.1084/jem.20161950. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 216.Gill MR, Falzone N, Du Y, Vallis KA. Targeted radionuclide therapy in combined-modality regimens. The Lancet Oncology. 2017;18:e414–23. 10.1016/s1470-2045(17)30379-0. [DOI] [PubMed] [Google Scholar]
 - 217.Chan TG, O’Neill E, Habjan C, Cornelissen B. Combination strategies to improve targeted radionuclide therapy. J Nucl Med. 2020;61:1544–52. 10.2967/jnumed.120.248062. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 218.Jin P, Li J, Meng Y, Wu L, Bai M, Yu J, et al. PET/CT metabolic patterns in systemic immune activation: a new perspective on the assessment of immunotherapy response and efficacy. Cancer Lett. 2021;520:91–9. 10.1016/j.canlet.2021.06.028. [DOI] [PubMed] [Google Scholar]
 - 219.Kim J, Lee H, Huang BW. Lung cancer: diagnosis, treatment principles, and screening. Am Fam Physician. 2022;105:487–94. [PubMed] [Google Scholar]
 
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