细胞衰老是一种常见的生物过程，与癌症有着明确的联系。然而，细胞衰老对肿瘤进展的影响仍不清楚。为了研究这种关系，我们利用衰老基因组的转录组数据来探索衰老与癌症预后之间的联系。我们通过最小绝对收缩和选择算子 (LASSO) Cox 模型开发了衰老评分。我们从癌症基因组图谱（TCGA）计划中获得了衰老基因集的转录组信息。此外，我们创建了一个将这些衰老评分与临床特征相结合的列线图，为预后评估提供了更全面的工具。我们根据42个衰老相关基因的表达水平计算了衰老评分。我们根据衰老评分和临床特征建立了列线图。衰老评分与上皮间质转化、细胞周期和糖酵解呈正相关，与自噬呈负相关。此外，我们进行了基因本体（GO）分析，以探索不同衰老评分组中的信号通路和生物过程。衰老评分是本研究中构建的一种新工具，在预测各种癌症类型的生存结果方面显示出希望。这些发现不仅强调了衰老与癌症之间复杂的相互作用，还表明细胞衰老可能作为肿瘤预后的生物标志物。版权所有 © 2024 Xu 和 Feng。

Cellular senescence is a common biological process with a well-established link to cancer. However, the impact of cellular senescence on tumor progression remains unclear. To investigate this relationship, we utilized transcriptomic data from a senescence gene set to explore the connection between senescence and cancer prognosis.We developed the senescence score by the Least Absolute Shrinkage and Selection Operator (LASSO) Cox model. We obtained transcriptomic information of the senescence gene set from The Cancer Genome Atlas (TCGA) program. Additionally, we created a nomogram that integrates these senescence scores with clinical characteristics, providing a more comprehensive tool for prognosis evaluation.We calculated the senescence score based on the expression level of 42 senescence-related genes. We established the nomogram based on the senescence score and clinical characteristics. The senescence score showed a positive correlation with epithelial-to-mesenchymal transition, cell cycle, and glycolysis, and a negative correlation with autophagy. Furthermore, we carried out Gene Ontology (GO) analysis to explore the signaling pathways and biological process in different senescence score groups.The senescence score, a novel tool constructed in this study, shows promise in predicting survival outcomes across various cancer types. These findings not only highlight the complex interplay between senescence and cancer but also indicate that cellular senescence might serve as a biomarker for tumor prognosis.Copyright © 2024 Xu and Feng.