Liver Disease Center, The Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao 266003, China.
Qingdao University, No. 308 Ningxia Road, Qingdao 266071, China.
Epigenomics. 2021 Jun;13(11):875-890. doi: 10.2217/epi-2020-0411. Epub 2021 May 4.
To investigate the prognostic significance of hypoxia- and ferroptosis-related genes for gastric cancer (GC). We extracted data on 259 hypoxia- and ferroptosis-related genes from The Cancer Genome Atlas and identified the differentially expressed genes between normal (n = 32) and tumor (n = 375) tissues. A risk score was established by univariate Cox regression analysis and LASSO penalized Cox regression analysis. The risk score contained eight genes showed good performance in predicting overall survival and relapse-free survival in GC patients in both the training cohort (The Cancer Genome Atlas, n = 350) and the testing cohorts (GSE84437, n = 431; GSE62254, n = 300; GSE15459, n = 191; GSE26253, n = 432). The eight-gene signature may help to the improve the prognostic risk classification of GC.
为了研究缺氧和铁死亡相关基因对胃癌(GC)的预后意义。我们从癌症基因组图谱(The Cancer Genome Atlas)中提取了 259 个与缺氧和铁死亡相关的基因数据,并鉴定了正常(n=32)和肿瘤(n=375)组织之间的差异表达基因。通过单因素 Cox 回归分析和 LASSO 惩罚 Cox 回归分析建立了风险评分。该风险评分包含 8 个基因,在训练队列(癌症基因组图谱,n=350)和测试队列(GSE84437,n=431;GSE62254,n=300;GSE15459,n=191;GSE26253,n=432)中均能较好地预测 GC 患者的总生存和无复发生存。该 8 基因特征可能有助于改善 GC 的预后风险分类。