Prognostic model for cervical cancer based on apoptosis-related genes

This study attempts to develop a novel apoptosis-related predictive model for cervical cancer. Differentially expressed apoptosis-related genes were identified using TCGA, GEO, and MSigDB databases. A 13-gene prognostic model was constructed using multiple regression analyses. The low-risk group exhibited low tumor purity and high ESTIMATE and immune scores. Most of the immune checkpoints in the low-risk group were expressed at higher levels than those in the high-risk group. The low-risk group also had relatively more infiltrating immune cells. An independent prognostic model pertaining to cell apoptosis has been built by this work, which performs well in prediction.本研究旨在构建一款针对宫颈癌的新型细胞凋亡相关预测模型。研究团队通过TCGA（The Cancer Genome Atlas）、GEO（Gene Expression Omnibus）及MSigDB（Molecular Signatures Database）数据库，筛选得到差异表达的细胞凋亡相关基因，并借助多元回归分析构建了一款含13个基因的预后模型。分析结果显示，低风险组肿瘤纯度较低，同时拥有较高的ESTIMATE评分与免疫评分；该组内多数免疫检查点（immune checkpoints）的表达水平显著高于高风险组，且肿瘤浸润免疫细胞的丰度也相对更高。本研究构建的细胞凋亡相关独立预后模型具备优异的预测性能。