He Jiayong, Fu Ziyi, Zou Boya, Lei Xuetao, Lei Linhan, Yang Qingbin, Li Guoxin
Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, People's Republic of China.
Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou, People's Republic of China.
J Cell Mol Med. 2025 Jan;29(2):e70360. doi: 10.1111/jcmm.70360.
Cellular senescence is a key promoter of tumorigenesis and malignant progression. This study aimed to develop a predictive model for assessing cellular senescence in gastric cancer (GC) outcomes. We identified senescence-related genes and lncRNAs from 375 stomach adenocarcinoma (STAD) patients and established a prognostic senescence score using multivariate Cox regression, validated in testing, TCGA-STAD and the combined TCGA-COAD and READ cohorts. The model's predictive efficacy was evaluated across clinical subgroups, tumour microenvironments and immune cell infiltration. A total of 116 senescence-related lncRNAs were filtered, and patients were clustered into two senescent subtypes. The lncRNA signature identified LINC01579 as an independent prognostic factor for GC. Low-risk groups showed prolonged overall survival, increased immune cell infiltration and reduced mutation load. Downregulation of LINC01579 using antisense oligonucleotides (ASOs) on normal human fibroblasts decreased cellular proliferation and migration in GC. Collectively, this study established and validated a promising prognostic model connecting senescence-related lncRNAs and clinical outcome in GC and provided potential senescence-related biomarkers for GC prognosis prediction.
细胞衰老 是肿瘤发生和恶性进展的关键促进因素。本研究旨在建立一种预测模型,用于评估胃癌(GC)预后中的细胞衰老情况。我们从375例胃腺癌(STAD)患者中鉴定出衰老相关基因和长链非编码RNA(lncRNA),并使用多变量Cox回归建立了预后衰老评分,在测试队列、TCGA-STAD队列以及合并的TCGA-COAD和READ队列中进行了验证。在不同临床亚组、肿瘤微环境和免疫细胞浸润中评估了该模型的预测效能。共筛选出116个衰老相关lncRNA,并将患者聚类为两种衰老亚型。lncRNA特征鉴定出LINC01579为GC的独立预后因素。低风险组显示总生存期延长、免疫细胞浸润增加且突变负荷降低。在正常人成纤维细胞上使用反义寡核苷酸(ASO)下调LINC01579可降低GC中的细胞增殖和迁移。总体而言,本研究建立并验证了一个有前景的预后模型,该模型将衰老相关lncRNA与GC的临床结局联系起来,并为GC预后预测提供了潜在的衰老相关生物标志物。