Cellular senescence in gastric cancer: a novel prognostic stratification and immune predictor

Cellular senescence, a state of permanent arrest of the cell cycle in response to various damage, exerts dual impact on tumor initiation and progression and has emerged as a promising therapeutic target. However, an applicable tool to quantify senescence remains exclusive. In this study, we investigated the role of senescence in gastric cancer (GC) progression through the analysis of TCGA-STAD cohort. According to senescence-associated gene (SAG) expression signatures, TCGA-STAD was divided into distinct senescence clusters. Cluster B with elevated expression of SAGs was associated with a poorer prognosis and a tumor microenvironment that was more conducive for tumor growth. Based on prognosis-associated differentially expressed genes (DEGs) between senescence clusters, we constructed cellular senescence score system (SSS) to quantify senescence of GC. SSS could serve as an independent prognostic factor and, notably, has the potential to identify patients who may benefit from immunotherapy. This indicates the strong potential of SSS as a biomarker for predicting immunotherapeutic response. In conclusion, SSS provides a reliable tool for prognosis prediction and treatment strategies for GC patients.

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Publication Details

Journal
BMC Medical Genomics
Published
2026-03-11
DOI
https://doi.org/10.1186/s12920-026-02346-1
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
Field-Weighted Citation Impact
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article

Cellular senescence in gastric cancer: a novel prognostic stratification and immune predictor

Zi-qi ZHENG, Yuting Li, Zhicheng Xue, Run-Cong Nie et al.
BMC Medical Genomics
Telomeres, Telomerase, and Senescence
article

Cellular senescence in gastric cancer: a novel prognostic stratification and immune predictor

Zi-qi ZHENG, Yuting Li, Zhicheng Xue, Run-Cong Nie, Xiao-Jiang Chen, Cheng-Zhi Wei, Zhi-Hao Lin, Guo-Ming Chen, Fei-Zhi Lin
article en

Abstract

Cellular senescence, a state of permanent arrest of the cell cycle in response to various damage, exerts dual impact on tumor initiation and progression and has emerged as a promising therapeutic target. However, an applicable tool to quantify senescence remains exclusive. In this study, we investigated the role of senescence in gastric cancer (GC) progression through the analysis of TCGA-STAD cohort. According to senescence-associated gene (SAG) expression signatures, TCGA-STAD was divided into distinct senescence clusters. Cluster B with elevated expression of SAGs was associated with a poorer prognosis and a tumor microenvironment that was more conducive for tumor growth. Based on prognosis-associated differentially expressed genes (DEGs) between senescence clusters, we constructed cellular senescence score system (SSS) to quantify senescence of GC. SSS could serve as an independent prognostic factor and, notably, has the potential to identify patients who may benefit from immunotherapy. This indicates the strong potential of SSS as a biomarker for predicting immunotherapeutic response. In conclusion, SSS provides a reliable tool for prognosis prediction and treatment strategies for GC patients.

BMC Medical Genomics
Sun Yat-sen University (CN), Jinan University (CN), Sun Yat-sen University Cancer Center (CN)
Zero hunger
Openalex Percentile: Top 26%
Telomeres, Telomerase, and Senescence
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