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)ââ¥â50 in biopsy tissues was significantly associated with major pathological response (MPR) (Pâ=â0.04). 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.
Predictive factors for neoadjuvant combined immunotherapy in gastric adenocarcinoma: Focusing on the primitive enterocyte phenotype and PVR.
胃腺癌新辅助联合免疫疗法的预测因素:以原始肠细胞表型和 PVR 为重点
阅读:4
作者:Wang Bingzhi, Wang Yinong, Zhu Yongjian, Guo Lei, Zeng Hua, Wu Shuai, Wang Long, Mu Jiali, Shao Xinxin, Cheng Na, Ying Jianming, Tian Yantao, Xue Liyan
| 期刊: | British Journal of Cancer | 影响因子: | 6.800 |
| 时间: | 2025 | 起止号: | 2025 Aug;133(2):255-269 |
| doi: | 10.1038/s41416-025-03031-3 | 研究方向: | 细胞生物学 |
| 疾病类型: | 胃癌 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
