Zeng Qunzhang, Han Lin, Hong Qiuxia, Wang Guan-Cong, Xue Xia-Juan, Fang Yicong, Liu Jing
Department of Colorectal and Anal Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, China.
Department of Gastroenterology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, China.
Heliyon. 2024 Jun 28;10(14):e33794. doi: 10.1016/j.heliyon.2024.e33794. eCollection 2024 Jul 30.
To build a ferroptosis-related prognostic model for patients with colon adenocarcinoma (COAD).
COAD expression profiles from The Cancer Genome Atlas were used as the training set and GSE39582 from Gene Expression Omnibus as the validation set. Differentially expressed ferroptosis-related genes between patients with COAD and normal controls were screened, followed by tumor subtype exploration based on ferroptosis-related gene expression levels. A ferroptosis score (FS) model was constructed using least absolute shrinkage and selection operator penalized Cox analysis. Based on FS, patients were subgrouped into high- and low-risk subgroups and overall survival was predicted. The potential prognostic value of the FS model and the clinical characteristics were investigated using receiver operating characteristic curves.
Twenty-four differentially expressed ferroptosis-related genes were identified, four of which (, , , and ) were included in the prognostic signature. Moreover, age, pathological T stage, and tumor recurrence were independent prognostic factors for COAD. The FS model combined with three independent prognostic factors showed the best prognostic value (The Cancer Genome Atlas: area under the curve = 0.897; GSE39582: area under the curve = 0.858).
The novel prognostic model for patients with COAD constructed by pairing the FS model with three important independent prognostic factors showed promising clinical predictive value.
构建结肠癌（COAD）患者的铁死亡相关预后模型。
将来自癌症基因组图谱的COAD表达谱用作训练集，将来自基因表达综合数据库的GSE39582用作验证集。筛选COAD患者与正常对照之间差异表达的铁死亡相关基因，随后基于铁死亡相关基因表达水平探索肿瘤亚型。使用最小绝对收缩和选择算子惩罚Cox分析构建铁死亡评分（FS）模型。基于FS，将患者分为高风险和低风险亚组并预测总生存期。使用受试者工作特征曲线研究FS模型的潜在预后价值和临床特征。
鉴定出24个差异表达的铁死亡相关基因，其中4个（、、和）被纳入预后特征。此外，年龄、病理T分期和肿瘤复发是COAD的独立预后因素。FS模型与三个独立预后因素相结合显示出最佳预后价值（癌症基因组图谱：曲线下面积 = 0.897；GSE39582：曲线下面积 = 0.858）。
通过将FS模型与三个重要的独立预后因素配对构建的新型COAD患者预后模型显示出有前景的临床预测价值。
