Wang Gang, Wang Yi, Xiao Yanyi, Lin Zhe
The Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Department of Gastrointestinal Surgery, Wenzhou Central Hospital, Wenzhou, 325000, Zhejiang Province, China.
Sci Rep. 2025 Feb 12;15(1):5251. doi: 10.1038/s41598-025-89369-3.
Recent studies have shed light on the dysregulated nature of cell senescence in many cancers, with implications for tumor immunity and prognosis. However, it is still unclear what role cellular senescence plays in stomach adenocarcinoma (STAD). To address this gap, we investigated the impact of cellular senescence on gastric cancer and its potential prognostic and therapeutic significance. The mRNA expression patterns, gene mutations, and clinical information of STAD were obtained from the cancer genome atlas (TCGA) and gene expression omnibus (GEO). Differentially expressed senescence-related genes were identified between gastric cancer tissues and normal tissues, then the prognostic value and functional roles of these genes in immunotherapy were systematically investigated by bioinformatics approaches. To authenticate the dysregulated genes identified within our prognostic signature, we conducted real-time quantitative PCR. Moreover, we verified gene expression patterns in both normal and tumor samples and performed in vitro experiments to modulate gene expression, assessing its impact on cell proliferation and invasion. Leveraging least absolute shrinkage and selection operator (LASSO) regression analysis, we successfully established a prognostic signature based on cell senescence-related genes. This signature categorized patients into high and low-risk groups, with the high-risk group exhibiting decreased overall survival likelihood compared to the low-risk group. Notably, these groups demonstrated distinct tumor microenvironment features and immune cell infiltration. Furthermore, patients in the high-risk group exhibited poorer responses to treatment compared to those in the low-risk group. To facilitate clinical application, we developed a nomogram for STAD prognosis prediction. By employing this cell senescence-related signature, we could accurately predict prognosis in STAD and tailor individualized therapeutic strategies, including chemotherapy and immunotherapy.
最近的研究揭示了细胞衰老在许多癌症中的失调本质,这对肿瘤免疫和预后具有重要意义。然而,细胞衰老在胃腺癌(STAD)中所起的作用仍不清楚。为了填补这一空白,我们研究了细胞衰老对胃癌的影响及其潜在的预后和治疗意义。从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中获取了STAD的mRNA表达模式、基因突变和临床信息。确定了胃癌组织和正常组织之间差异表达的衰老相关基因,然后通过生物信息学方法系统地研究了这些基因在免疫治疗中的预后价值和功能作用。为了验证我们的预后特征中鉴定出的失调基因,我们进行了实时定量PCR。此外,我们验证了正常和肿瘤样本中的基因表达模式,并进行了体外实验来调节基因表达,评估其对细胞增殖和侵袭的影响。利用最小绝对收缩和选择算子(LASSO)回归分析,我们成功地建立了一个基于细胞衰老相关基因的预后特征。该特征将患者分为高风险组和低风险组,与低风险组相比,高风险组的总生存可能性降低。值得注意的是,这些组表现出不同的肿瘤微环境特征和免疫细胞浸润。此外,高风险组患者的治疗反应比低风险组患者更差。为了便于临床应用,我们开发了一个用于STAD预后预测的列线图。通过采用这种与细胞衰老相关的特征,我们可以准确预测STAD的预后,并制定个性化的治疗策略,包括化疗和免疫治疗。