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Associations of Clinical and Molecular Characteristics with the Response to Immune Checkpoint Blockade in Advanced Gastric Cancers.

Authors :
Xu, Xiaoqing
Li, Jingjing
Gao, Yiding
Lv, Wangxia
Wei, Qing
Tang, Xiaowan
Hu, Jinlin
Yuan, Xing
Wu, Wei
Zhang, Lingnan
Luo, Cong
Chen, Lei
Ying, Jieer
Zhu, Xiu
Xu, Qi
Source :
Journal of Oncology. 3/4/2022, p1-10. 10p.
Publication Year :
2022

Abstract

Purpose. Immunotherapy provides a new treatment option for advanced gastric cancer (AGC). This study aims to explore the response markers of immunotherapy in AGCs. Methods. Next-generation sequencing was performed on 44 AGC patients who received immune checkpoint inhibitors and the associations between their outcomes after combination immunotherapy, and the clinicopathological/molecular characteristics were analyzed. Results. The current study cohort had a median progression-free survival (PFS) of 5.9 months, an overall survival (OS) of 12.1 months, and an objective response rate (ORR) of 36.4%. Through multivariable analysis of the clinical characteristics, primary tumor resection (HR = 2.66, 95% CI: 1.06–6.70, p = 0.037) and increased proportion of lymphocytes after combination immunotherapy (HR = 0.40, 95% CI: 0.16–0.99, p = 0.048) were revealed as independent predictors for patient outcomes. All the 18 patients who underwent genetic profiling were microsatellite-stable with a median TMB of four mutations per Mb. ATM alterations, PI3K pathway mutations, increased TMB, and positive PD-L1 expression were associated with the increased trend of PFS and ORR. According to the combination of baseline lymphocyte count, ATM mutation, TMB status, and PD-L1 expression, patients were stratified into higher- and lower-risk groups, with the lower-risk group showing improved PFS (HR = 4.7e−10, 95% CI: 0–inf, p = 0.02) and ORR (75% vs. 0%, p = 0.007). Conclusion. Several highly relevant potential biomarkers predictive of immunotherapy response in AGC patients have been identified in this research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16878450
Database :
Academic Search Index
Journal :
Journal of Oncology
Publication Type :
Academic Journal
Accession number :
155581382
Full Text :
https://doi.org/10.1155/2022/2162229