Breast cancer is a leading cause of cancer-related mortality among women worldwide, particularly affecting those in their later years. As the incidence of breast cancer increases with age, understanding the biological mechanisms that link aging and cancer becomes crucial. Cellular senescence, a hallmark of aging, plays a dual role in cancer by inhibiting tumorigenesis while also contributing to tumor progression through the senescence-associated secretory phenotype (SASP). This study aims to investigate the prognostic significance of senescence-related genes in breast cancer. We utilized the SenMayo gene list, a comprehensive set of senescence-related genes, to analyze gene expression data from a large cohort of breast cancer samples. The data was sourced from the Kaplan–Meier plotter, an integrated database that compiles gene expression information from multiple independent cohorts. Cox proportional hazards regression and false discovery rate (FDR) corrections were employed to evaluate the correlation between gene expression and survival outcomes, aiming to establish a prognostic signature. Our findings demonstrate that higher expression levels of senescence-related genes are significantly associated with improved survival, while lower expression levels correlate with shorter survival outcomes. These results suggest that senescence-related pathways play a protective role in breast cancer, potentially serving as valuable prognostic indicators. The identification of a prognostic signature based on senescence-related genes underscores the importance of cellular senescence in breast cancer progression and survival. Our study highlights the potential of senescence-related biomarkers in enhancing patient stratification and informing treatment strategies, contributing to the growing body of literature on the intersection of aging and cancer.

乳腺癌是全球女性癌症相关死亡的主要原因，尤其是对晚年女性的影响。随着乳腺癌的发病率随着年龄的增长而增加，了解将衰老与癌症联系起来的生物学机制变得至关重要。细胞衰老是衰老的标志，通过抑制肿瘤发生同时通过衰老相关分泌表型 （SASP） 促进肿瘤进展，在癌症中发挥双重作用。本研究旨在探讨衰老相关基因在乳腺癌中的预后意义。我们利用 SenMayo 基因列表（一组全面的衰老相关基因）来分析来自大量乳腺癌样本的基因表达数据。数据来自 Kaplan-Meier 绘图仪，这是一个集成数据库，可编译来自多个独立队列的基因表达信息。采用 Cox 比例风险回归和错误发现率 （FDR） 校正来评估基因表达与生存结果之间的相关性，旨在建立预后特征。我们的研究结果表明，衰老相关基因的较高表达水平与生存率的提高显著相关，而较低的表达水平与较短的生存结果相关。这些结果表明，衰老相关通路在乳腺癌中起保护作用，可能作为有价值的预后指标。基于衰老相关基因的预后特征鉴定强调了细胞衰老在乳腺癌进展和生存中的重要性。 我们的研究强调了衰老相关生物标志物在增强患者分层和为治疗策略提供信息方面的潜力，为关于衰老和癌症交叉点的文献数量不断增加做出贡献。