Integrative Multi‐Omics Analysis Uncovers Immunological Phenotypes Predictive of Combinatorial Immunotherapy Response in Gastric Cancer

Current understanding of immune characteristics in gastric cancer remains limited for guiding clinical practice, particularly immunotherapy. This study aims to elucidate the multidimensional landscape of tumor microenvironment in gastric cancer, identify predictive biomarkers potentially associated with favorable immunotherapy response, and propose a precision stratification framework to inform therapeutic strategies. This study introduces a novel immune classification system tumor immune microenvironment (TIME)-inflamed, TIME-desert, and TIME-excluded), and characterize the cellular and molecular characteristics of each subtype. TIME-inflamed tumors exhibit significantly higher infiltration of immune cells in tumor regions, as well as increased expression of inflamed-genes. TIME-desert tumors display minimal immune cell infiltration and feature abnormal microvasculature. TIME-excluded subtype is defined by immune cell accumulation outside the tumor with ineffective intratumoral infiltration, prominent fibroblast activity, and collagen deposition. Application of this immune classification system to stratify gastric cancer within the SPACE cohort successfully demonstrates potential for predicting favorable outcomes of a subset of "cold tumor" patients upon receiving combined immunotherapy and chemotherapy. The findings contribute to advancing the classification of gastric cancer from traditional histopathological subtyping to functional immunological subtyping, providing a valuable scientific foundation for precise patient stratification and the development of individualized immunotherapy strategies in clinical practice.

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Publication Details

Journal
Advanced Science
Published
2025-11-13
DOI
https://doi.org/10.1002/advs.202514482
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrative Multi‐Omics Analysis Uncovers Immunological Phenotypes Predictive of Combinatorial Immunotherapy Response in Gastric Cancer

Chenhui Zhao, Dadong Zhang, Zhida Wu, Menghan Fang et al.
Advanced Science
Cancer Immunotherapy and Biomarkers
article

Integrative Multi‐Omics Analysis Uncovers Immunological Phenotypes Predictive of Combinatorial Immunotherapy Response in Gastric Cancer

Chenhui Zhao, Dadong Zhang, Zhida Wu, Menghan Fang, Yijun Shi, Jianchao Wang, Xiaofeng Chen, Gang Chen, Wei Zhang, Fangfang Chen, Xiaoya Xu, Wenfang Zhang, Jiyang Zhang, Ziqing Yu, Qiong Zhu
article en

Abstract

Current understanding of immune characteristics in gastric cancer remains limited for guiding clinical practice, particularly immunotherapy. This study aims to elucidate the multidimensional landscape of tumor microenvironment in gastric cancer, identify predictive biomarkers potentially associated with favorable immunotherapy response, and propose a precision stratification framework to inform therapeutic strategies. This study introduces a novel immune classification system tumor immune microenvironment (TIME)-inflamed, TIME-desert, and TIME-excluded), and characterize the cellular and molecular characteristics of each subtype. TIME-inflamed tumors exhibit significantly higher infiltration of immune cells in tumor regions, as well as increased expression of inflamed-genes. TIME-desert tumors display minimal immune cell infiltration and feature abnormal microvasculature. TIME-excluded subtype is defined by immune cell accumulation outside the tumor with ineffective intratumoral infiltration, prominent fibroblast activity, and collagen deposition. Application of this immune classification system to stratify gastric cancer within the SPACE cohort successfully demonstrates potential for predicting favorable outcomes of a subset of "cold tumor" patients upon receiving combined immunotherapy and chemotherapy. The findings contribute to advancing the classification of gastric cancer from traditional histopathological subtyping to functional immunological subtyping, providing a valuable scientific foundation for precise patient stratification and the development of individualized immunotherapy strategies in clinical practice.

Advanced ScienceVol. 13(6)
Fujian Medical University (CN), Jiangsu Cancer Hospital (CN), Fujian Provincial Cancer Hospital (CN), Shanghai Clinical Research Center (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 53%
Cancer Immunotherapy and Biomarkers
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