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Molecular Diagnostics

Predictive factors for neoadjuvant combined immunotherapy in gastric adenocarcinoma: Focusing on the primitive enterocyte phenotype and PVR

Abstract

Background

Neoadjuvant combined immunotherapy has provided more treatment options for patients with gastric adenocarcinoma (GA). However, some GA patients, especially those with primitive enterocyte phenotype (GAPEP) show a poor response to immunotherapy, even with positive PD-L1 expression.

Method

We enrolled multiple cohorts from our center and utilized public data to identify the predictive factors and explore the immunosuppressive features of GAPEP by multi-omics methods.

Results

Forty-seven patients with neoadjuvant combined immunotherapy were enrolled. After testing, we found PD-L1 combined positive score (CPS) ≥ 50 in biopsy tissues was significantly associated with major pathological response (MPR) (P = 0.04). RNA testing and immunohistochemical staining highlighted the cytotoxicity-associated markers (GZMA and PRF1) as the predictors to better response. Notably, GAPEP patients demonstrated resistance to therapy and exhibited worse survival outcomes. Our own and public bulk/single-cell transcriptomic analyses identified PVR as a predictor of treatment resistance and as an important immune suppressor, especially in GAPEP. Cell interaction analyses, multiple staining, and cell experiments verified the association between GAPEP and PVR.

Conclusion

Cytotoxic markers, especially GZMA and PRF1, could predict the benefit of neoadjuvant combined immunotherapy in GA than PD-L1 CPS, while PVR is a negative predictor, particularly for GAPEP patients.

Highlights

  • IHC staining of cytotoxic markers such as GZMA and PRF1 could better predict ICI benefit in GA than PD-L1 CPS, while positive PVR IHC staining is a negative predictor.

  • GAPEP (GA with the primitive enterocyte phenotype) is more aggressive and more likely to resist immunotherapy.

  • Upregulation of PVR is prevalent in GAPEP, and PVR might be the key factor in promoting the immunosuppressive microenvironment of GAPEP.

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Fig. 1: Characteristics of the tC cohort.
Fig. 2: NanoString mRNA testing results across different cohorts and groups.
Fig. 3: TCGA analysis results in comparing PEP vs. nPEP.
Fig. 4: Shared differential genes and IHC testing.
Fig. 5: Verification in six additional public datasets.
Fig. 6: Single-cell RNA analyses and validation of the relationship between AFP and PVR.

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Data availability

Available. The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

References

  1. Zheng R, Zhang S, Zeng H, Wang S, Sun K, Chen R, et al. Cancer incidence and mortality in China, 2016. J Natl Cancer Cent. 2022;2:1–9.

    PubMed  PubMed Central  Google Scholar 

  2. Yang Z, Zhang C, Liu X, Che N, Feng Y, Xuan Y. SETD5 regulates glycolysis in breast cancer stem-like cells and fuels tumor growth. Am J Pathol. 2022;192:712–21.

    Article  CAS  PubMed  Google Scholar 

  3. Liu L, Woo Y, D’Apuzzo M, Melstrom L, Raoof M, Liang Y, et al. Immunotherapy-based neoadjuvant treatment of advanced microsatellite instability-high gastric cancer: a case series. J Natl Compr Canc Netw. 2022;20:857–65.

    Article  PubMed  Google Scholar 

  4. Dislich B, Mertz KD, Gloor B, Langer R, Interspatial distribution of tumor and immune cells in correlation with PD-L1 in molecular subtypes of gastric cancers. Cancers 2022, 14.

  5. Goodman KA, Xu R-h, Chau I, Chen MH, Cho BC, Shah MA, et al. SKYSCRAPER-07: A phase III, randomized, double-blind, placebo-controlled study of atezolizumab with or without tiragolumab in patients with unresectable ESCC who have not progressed following definitive concurrent chemoradiotherapy. 2022, 40:TPS374-TPS374.

  6. Fuchs CS, Ozguroglu M, Bang YJ, Di Bartolomeo M, Mandala M, Ryu MH, et al. Pembrolizumab versus paclitaxel for previously treated PD-L1-positive advanced gastric or gastroesophageal junction cancer: 2-year update of the randomized phase 3 KEYNOTE-061 trial. Gastric Cancer. 2022;25:197–206.

    Article  CAS  PubMed  Google Scholar 

  7. Tang X, Li M, Wu X, Guo T, Zhang L, Tang L, et al. Neoadjuvant PD-1 blockade plus chemotherapy induces a high pathological complete response rate and anti-tumor immune subsets in clinical stage III gastric cancer. Oncoimmunology. 2022;11:2135819.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Zhao Y, Bai Y, Shen M, Li Y. Therapeutic strategies for gastric cancer targeting immune cells: Future directions. Front Immunol. 2022;13:992762.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Xie T, Zhang Z, Zhang X, Qi C, Shen L, Peng Z. Appropriate PD-L1 cutoff value for gastric cancer immunotherapy: a systematic review and meta-analysis. Front Oncol. 2021;11:646355.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Kim TK, Vandsemb EN, Herbst RS, Chen L. Adaptive immune resistance at the tumour site: mechanisms and therapeutic opportunities. Nat Rev Drug Discov. 2022;21:529–40.

    Article  CAS  PubMed  Google Scholar 

  11. Chen Y, Jia K, Sun Y, Zhang C, Li Y, Zhang L, et al. Predicting response to immunotherapy in gastric cancer via multi-dimensional analyses of the tumour immune microenvironment. Nat Commun. 2022;13:4851.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Huang K, Hu M, Chen J, Wei J, Qin J, Lin S, et al. Multi-omics perspective reveals the different patterns of tumor immune microenvironment based on programmed death ligand 1 (PD-L1) expression and predictor of responses to immune checkpoint blockade across pan-cancer. Int J Mol Sci 2021, 22.

  13. Haas M, Buttner M, Rau TT, Fietkau R, Grabenbauer GG, Distel LV. Inflammation in gastric adenocarcinoma of the cardia: how do EBV infection, Her2 amplification and cancer progression influence tumor-infiltrating lymphocytes? Virchows Arch. 2011;458:403–11.

    Article  CAS  PubMed  Google Scholar 

  14. Yamazawa S, Ushiku T, Shinozaki-Ushiku A, Hayashi A, Iwasaki A, Abe H, et al. Gastric cancer with primitive enterocyte phenotype: an aggressive subgroup of intestinal-type adenocarcinoma. Am J Surg Pathol. 2017;41:989–97.

    Article  PubMed  Google Scholar 

  15. Zhang Q, Kim DH, Xu Y, Wang W, Medeiros LJ. Clinicopathological features of syncytial variant nodular sclerosis Hodgkin lymphoma. Hum Pathol. 2022;119:105–13.

    Article  CAS  PubMed  Google Scholar 

  16. Akazawa Y, Saito T, Hayashi T, Yanai Y, Tsuyama S, Akaike K, et al. Next-generation sequencing analysis for gastric adenocarcinoma with enteroblastic differentiation: emphasis on the relationship with hepatoid adenocarcinoma. Hum Pathol. 2018;78:79–88.

    Article  CAS  PubMed  Google Scholar 

  17. Mei Y, Li M, Wen J, Kong X, Li J. Single-cell characteristics and malignancy regulation of alpha-fetoprotein-producing gastric cancer. Cancer Med. 2023;12:12018–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Kwon MJ, Byeon S, Kang SY, Kim KM. Gastric adenocarcinoma with enteroblastic differentiation should be differentiated from hepatoid adenocarcinoma: A study with emphasis on clear cells and clinicopathologic spectrum. Pathol Res Pr. 2019;215:152525.

    Article  CAS  Google Scholar 

  19. Xia R, Zhou Y, Wang Y, Yuan J, Ma X. Hepatoid adenocarcinoma of the stomach: current perspectives and new developments. Front Oncol. 2021;11:633916.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Kang M, Ma X, Shi J, Chen G, Jin X, Wang J, et al. Distinct molecular phenotype and the potential prognostic value of immune prognostic index and tumor infiltrating lymphocytes in hepatoid adenocarcinoma of stomach. Transl Oncol. 2022;19:101380.

    Article  PubMed  PubMed Central  Google Scholar 

  21. He F, Fu Y, Sun Q, Geng P, Zheng Z, Pu X, et al. Integrated clinicopathological and immunohistochemical analysis of gastric adenocarcinoma with hepatoid differentiation: an exploration of histogenesis, molecular characteristics, and prognostic markers. Hum Pathol. 2021;115:37–46.

    Article  CAS  PubMed  Google Scholar 

  22. Amin MB, Greene FL, Edge SB, Compton CC, Gershenwald JE, Brookland RK, et al. The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging. CA Cancer J Clin. 2017;67:93–9.

    PubMed  Google Scholar 

  23. He L, Xiao J, Zheng P, Zhong L, Peng Q. Lymph node regression grading of locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy. World J Gastrointest Oncol. 2022;14:1429–45.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, et al. The immune landscape of cancer. Immunity. 2018;48:812–30.e814.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Yoshihara K, Shahmoradgoli M, Martinez E, Vegesna R, Kim H, Torres-Garcia W, et al. Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun. 2013;4:2612.

    Article  PubMed  Google Scholar 

  26. Newman AM, Liu CL, Green MR, Gentles AJ, Feng W, Xu Y, et al. Robust enumeration of cell subsets from tissue expression profiles. Nat Methods. 2015;12:453–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Ma C, Storer CE, Chandran U, LaFramboise WA, Petrosko P, Frank M, et al. Crohn’s disease-associated ATG16L1 T300A genotype is associated with improved survival in gastric cancer. EBioMedicine. 2021;67:103347.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Oh SC, Sohn BH, Cheong JH, Kim SB, Lee JE, Park KC, et al. Clinical and genomic landscape of gastric cancer with a mesenchymal phenotype. Nat Commun. 2018;9:1777.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lei Z, Tan IB, Das K, Deng N, Zouridis H, Pattison S, et al. Identification of molecular subtypes of gastric cancer with different responses to PI3-kinase inhibitors and 5-fluorouracil. Gastroenterology. 2013;145:554–65.

    Article  CAS  PubMed  Google Scholar 

  30. Qian Z, Zhu G, Tang L, Wang M, Zhang L, Fu J, et al. Whole genome gene copy number profiling of gastric cancer identifies PAK1 and KRAS gene amplification as therapy targets. Genes Chromosomes Cancer. 2014;53:883–94.

    Article  CAS  PubMed  Google Scholar 

  31. Lou S, Wang Y, Zhang J, Yin X, Zhang Y, Wang Y, et al. Patient-level DNA damage repair pathway profiles and anti-tumor immunity for gastric cancer. Front Immunol. 2021;12:806324.

    Article  CAS  PubMed  Google Scholar 

  32. Pan X, Li X, Dong L, Liu T, Zhang M, Zhang L, et al. Tumour vasculature at single-cell resolution. Nature. 2024;632:429–36.

    Article  CAS  PubMed  Google Scholar 

  33. Ding J, Adiconis X, Simmons SK, Kowalczyk MS, Hession CC, Marjanovic ND, et al. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. Nat Biotechnol. 2020;38:737–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Chiang EY, Mellman I. TIGIT-CD226-PVR axis: advancing immune checkpoint blockade for cancer immunotherapy. J Immunother Cancer 2022:10.

  35. O’Donnell JS, Madore J, Li XY, Smyth MJ. Tumor intrinsic and extrinsic immune functions of CD155. Semin Cancer Biol. 2020;65:189–96.

    Article  PubMed  Google Scholar 

  36. Molfetta R, Zitti B, Lecce M, Milito ND, Stabile H, Fionda C, et al. CD155: A multi-functional molecule in tumor progression. Int J Mol Sci 2020:21.

  37. Bronte V. The expanding constellation of immune checkpoints: a DNAMic control by CD155. J Clin Invest. 2018;128:2199–201.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Lee BR, Chae S, Moon J, Kim MJ, Lee H, Ko HW, et al. Combination of PD-L1 and PVR determines sensitivity to PD-1 blockade. JCI Insight 2020, 5.

  39. Wang JB, Li P, Liu XL, Zheng QL, Ma YB, Zhao YJ, et al. An immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in gastric cancer. Nat Commun. 2020;11:6352.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Gorvel L, Olive D. Targeting the “PVR-TIGIT axis” with immune checkpoint therapies. F1000Res 2020:9.

  41. Rooney MS, Shukla SA, Wu CJ, Getz G, Hacohen N. Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell. 2015;160:48–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Cao X, Cai SF, Fehniger TA, Song J, Collins LI, Piwnica-Worms DR, et al. Granzyme B and perforin are important for regulatory T cell-mediated suppression of tumor clearance. Immunity. 2007;27:635–46.

    Article  CAS  PubMed  Google Scholar 

  43. Chen Q, Wang C, Lei X, Huang T, Zhou R, Lu Y. Immune cytolytic activity for comprehensive insights of the immune landscape in endometrial carcinoma. J Oncol. 2022;2022:9060243.

    PubMed  PubMed Central  Google Scholar 

  44. Gao Z, Tao Y, Lai Y, Wang Q, Li Z, Peng S, et al. Immune cytolytic activity as an indicator of immune checkpoint inhibitors treatment for prostate cancer. Front Bioeng Biotechnol. 2020;8:930.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Reis ES, Mastellos DC, Ricklin D, Mantovani A, Lambris JD. Complement in cancer: untangling an intricate relationship. Nat Rev Immunol. 2018;18:5–18.

    Article  CAS  PubMed  Google Scholar 

  46. Wu B, Zhong C, Lang Q, Liang Z, Zhang Y, Zhao X, et al. Poliovirus receptor (PVR)-like protein cosignaling network: new opportunities for cancer immunotherapy. J Exp Clin Cancer Res. 2021;40:267.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Kumar V, Ramnarayanan K, Sundar R, Padmanabhan N, Srivastava S, Koiwa M, et al. Single-cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer. Cancer Discov. 2022;12:670–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Zhou KI, Peterson B, Serritella A, Thomas J, Reizine N, Moya S, et al. Spatial and Temporal Heterogeneity of PD-L1 expression and tumor mutational burden in gastroesophageal adenocarcinoma at baseline diagnosis and after chemotherapy. Clin Cancer Res. 2020;26:6453–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Ribeiro HSC, Menezes JN, da Costa WL Jr, F de Jesus VH, Diniz AL, et al. PD-L1 expression in gastric and gastroesophageal junction cancer patients treated with perioperative chemotherapy. J Surg Oncol. 2022;126:150–60.

    Article  CAS  PubMed  Google Scholar 

  50. Lei M, Siemers NO, Pandya D, Chang H, Sanchez T, Harbison C, et al. Analyses of PD-L1 and Inflammatory Gene Expression Association with Efficacy of Nivolumab +/- Ipilimumab in Gastric Cancer/Gastroesophageal Junction Cancer. Clin Cancer Res. 2021;27:3926–35.

    Article  CAS  PubMed  Google Scholar 

  51. Kawazoe A, Shitara K, Kuboki Y, Bando H, Kojima T, Yoshino T, et al. Clinicopathological features of 22C3 PD-L1 expression with mismatch repair, Epstein-Barr virus status, and cancer genome alterations in metastatic gastric cancer. Gastric Cancer. 2019;22:69–76.

    Article  CAS  PubMed  Google Scholar 

  52. Kim JY, Kim WG, Kwon CH, Park DY. Differences in immune contextures among different molecular subtypes of gastric cancer and their prognostic impact. Gastric Cancer. 2019;22:1164–75.

    Article  CAS  PubMed  Google Scholar 

  53. Oh S, Kim E, Lee H. Comparative Impact of PD-1 and PD-L1 inhibitors on advanced esophageal or gastric/gastroesophageal junction cancer treatment: a systematic review and meta-analysis. J Clin Med 2021:10.

  54. van den Ende T, van den Boorn HG, Hoonhout NM, van Etten-Jamaludin FS, Meijer SL, Derks S, et al. Priming the tumor immune microenvironment with chemo(radio)therapy: A systematic review across tumor types. Biochim Biophys Acta Rev Cancer. 2020;1874:188386.

    Article  PubMed  Google Scholar 

  55. Weigelin B, Friedl P. T cell-mediated additive cytotoxicity - death by multiple bullets. Trends Cancer. 2022;8:980–7.

    Article  CAS  PubMed  Google Scholar 

  56. Finn OJ. A Believer’s Overview of Cancer Immunosurveillance and Immunotherapy. J Immunol. 2018;200:385–91.

    Article  CAS  PubMed  Google Scholar 

  57. Hu Q, Nonaka K, Wakiyama H, Miyashita Y, Fujimoto Y, Jogo T, et al. Cytolytic activity score as a biomarker for antitumor immunity and clinical outcome in patients with gastric cancer. Cancer Med. 2021;10:3129–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Zhao R, Li H, Ge W, Zhu X, Zhu L, Wan X, et al. Comprehensive analysis of genomic alterations in hepatoid adenocarcinoma of the stomach and identification of clinically actionable alterations. Cancers 2022:14.

  59. Wang B, Du C, Li L, Xie Y, Hu C, Li Z, et al. New substituted molecular classifications of advanced gastric adenocarcinoma: characteristics and probable treatment strategies. J Natl Cancer Cent. 2022;2:50–9.

    PubMed  Google Scholar 

  60. Gao J, Zheng Q, Xin N, Wang W, Zhao C. CD155, an onco-immunologic molecule in human tumors. Cancer Sci. 2017;108:1934–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Lozano E, Joller N, Cao Y, Kuchroo VK, Hafler DA. The CD226/CD155 interaction regulates the proinflammatory (Th1/Th17)/anti-inflammatory (Th2) balance in humans. J Immunol. 2013;191:3673–80.

    Article  CAS  PubMed  Google Scholar 

  62. Braun M, Aguilera AR, Sundarrajan A, Corvino D, Stannard K, Krumeich S, et al. CD155 on Tumor Cells Drives Resistance to Immunotherapy by Inducing the Degradation of the Activating Receptor CD226 in CD8(+) T Cells. Immunity. 2020;53:805–23.e815.

    Article  CAS  PubMed  Google Scholar 

  63. Chan CJ, Martinet L, Gilfillan S, Souza-Fonseca-Guimaraes F, Chow MT, Town L, et al. The receptors CD96 and CD226 oppose each other in the regulation of natural killer cell functions. Nat Immunol. 2014;15:431–8.

    Article  CAS  PubMed  Google Scholar 

  64. Rodriguez-Abreu D, Johnson ML, Hussein MA, Cobo M, Patel AJ, Secen NM, et al. Primary analysis of a randomized, double-blind, phase II study of the anti-TIGIT antibody tiragolumab (tira) plus atezolizumab (atezo) versus placebo plus atezo as first-line (1L) treatment in patients with PD-L1-selected NSCLC (CITYSCAPE). 2020;38:9503.

  65. van der Ploeg AH, Kumpf O, Seelow E, Almanza LC, Schlag PM, Schumann RR, et al. The course of gastric cancer following surgery is associated with genetic variations of the interleukin-1 receptor antagonist and interleukin-1beta. Gastric Cancer. 2015;18:77–83.

    Article  PubMed  Google Scholar 

  66. Frentzas S, Meniawy T, Kao SC-H, Wang R, Zuo Y, Zheng H, et al. AdvanTIG-105: Phase 1 dose-escalation study of anti-TIGIT monoclonal antibody ociperlimab (BGB-A1217) in combination with tislelizumab in patients with advanced solid tumors. 2021;39:2583.

  67. Wang Y, Sun L, Li Z, Gao J, Ge S, Zhang C, et al. Hepatoid adenocarcinoma of the stomach: a unique subgroup with distinct clinicopathological and molecular features. Gastric Cancer. 2019;22:1183–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Liu Z, Wang A, Pu Y, Li Z, Xue R, Zhang C, et al. Genomic and transcriptomic profiling of hepatoid adenocarcinoma of the stomach. Oncogene. 2021;40:5705–17.

    Article  CAS  PubMed  Google Scholar 

  69. Seto M, Ohta M, Ikenoue T, Sugimoto T, Asaoka Y, Tada M, et al. Reduced expression of RAS protein activator like-1 in gastric cancer. Int J Cancer. 2011;128:1293–302.

    Article  CAS  PubMed  Google Scholar 

  70. Ubertini V, Norelli G, D’Arcangelo D, Gurtner A, Cesareo E, Baldari S, et al. Mutant p53 gains new function in promoting inflammatory signals by repression of the secreted interleukin-1 receptor antagonist. Oncogene. 2015;34:2493–504.

    Article  CAS  PubMed  Google Scholar 

  71. Refae S, Gal J, Ebran N, Otto J, Borchiellini D, Peyrade F, et al. Germinal Immunogenetics predict treatment outcome for PD-1/PD-L1 checkpoint inhibitors. Invest N Drugs. 2020;38:160–71.

    Article  CAS  Google Scholar 

  72. Yang J, Hawkins OE, Barham W, Gilchuk P, Boothby M, Ayers GD, et al. Myeloid IKKbeta promotes antitumor immunity by modulating CCL11 and the innate immune response. Cancer Res. 2014;74:7274–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Schmidt-Supprian M, Tian J, Ji H, Terhorst C, Bhan AK, Grant EP, et al. I kappa B kinase 2 deficiency in T cells leads to defects in priming, B cell help, germinal center reactions, and homeostatic expansion. J Immunol. 2004;173:1612–9.

    Article  CAS  PubMed  Google Scholar 

  74. Pasparakis M, Schmidt-Supprian M, Rajewsky K. IkappaB kinase signaling is essential for maintenance of mature B cells. J Exp Med. 2002;196:743–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Thaker YR, Raab M, Strebhardt K, Rudd CE. GTPase-activating protein Rasal1 associates with ZAP-70 of the TCR and negatively regulates T-cell tumor immunity. Nat Commun. 2019;10:4804.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Wang B, Zhu Y, Wang S, Li Z, Wang L, Rao W, et al. Gastric tubular adenocarcinoma with diffuse neutrophils infiltrating: characteristics and probable treatment strategy. Gastric Cancer. 2024;27:86–101.

    Article  PubMed  Google Scholar 

  77. Chen Y, Jia K, Chong X, Xie Y, Jiang L, Peng H, et al. Implications of PD-L1 expression on the immune microenvironment in HER2-positive gastric cancer. Mol Cancer. 2024;23:169.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Groen-van Schooten TS, Franco Fernandez R, van Grieken NCT, Bos EN, Seidel J, Saris J, et al. Mapping the complexity and diversity of tertiary lymphoid structures in primary and peritoneal metastatic gastric cancer. J Immunother Cancer 2024:12.

  79. Peng H, Jiang L, Yuan J, Wu X, Chen N, Liu D, et al. Single-cell characterization of differentiation trajectories and drug resistance features in gastric cancer with peritoneal metastasis. Clin Transl Med. 2024;14:e70054.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Funding

This work was supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2023-I2M-2-004 and 2021-I2M-1-067, the Beijing Hope Run Special Fund (No. LC2021A20) and Beijing Xisike Clinical Oncology Research Foundation (Y-MSDZD2022-0245).

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LX and JY formulated the study concept and design; BW and YW developed the methodology and performed the writing, review and revision of the paper; XS and YT provided the clinical data; HZ, YZ and NC analyzed and interpretated the data and performed statistical analysis; LG, JM, SW and LW provided technical and material support. All authors read and approved the final paper.

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Correspondence to Jianming Ying, Yantao Tian or Liyan Xue.

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Wang, B., Wang, Y., Zhu, Y. et al. Predictive factors for neoadjuvant combined immunotherapy in gastric adenocarcinoma: Focusing on the primitive enterocyte phenotype and PVR. Br J Cancer 133, 255–269 (2025). https://doi.org/10.1038/s41416-025-03031-3

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