华东师范大学学报（自然科学版）Issue(4)：100-110,11.DOI:10.3969/j.issn.1000-5641.2024.04.010
基于生物信息学构建肝癌免疫预后基因模型及初步验证
Bioinformatics-based construction of immune prognostic gene model for hepatocellular carcinoma and preliminary model validation
摘要
Abstract
The Cancer Genome Atlas(TCGA)and the International Cancer Genome Consortium(ICGC)databases were used to collect RNA sequence information from patients with hepatocellular carcinoma(HCC).The key genes involved in the immune response mechanism to HCC were screened using the non-negative matrix factorization(NMF)clustering method and weighted gene co-expression network analysis(WGCNA).Prognostic gene models were constructed using the least absolute shrinkage and selection operator(LASSO)regression analysis,and biological functions were analyzed using gene set enrichment analysis(GSEA).Subsequently,to assess the immune infiltration and the related functional differences between the patients in two different risk groups,we used single-sample gene set enrichment analysis(ssGSEA).We constructed column line graphs in combination with independent risk factors to predict overall patient survival time using the"RMS"package in R.Finally,preliminary clinical validation was performed using the Human Protein Atlas(HPA)database with real-time quantitative fluorescent PCR(RT-qPCR).In conclusion,we integrated the clinical characteristics of patients based on risk scores to construct a verifiable and reproducible column line chart,providing a reliable reference for the precise treatment of patients in clinical oncology.关键词
生物信息学/加权基因共表达网络分析/肝癌/免疫相关基因/预后模型Key words
bioinformatics/weighted gene co-expression network analysis/hepatocellular carcinoma/immune-related genes/prognostic model分类
信息技术与安全科学引用本文复制引用
谢琳玎,张远,蔡亦红..基于生物信息学构建肝癌免疫预后基因模型及初步验证[J].华东师范大学学报（自然科学版）,2024,(4):100-110,11.基金项目
安徽医科大学博士基金(XJ202005) （XJ202005）
安徽医科大学基础和临床合作研究计划项目(2021xkjT033) （2021xkjT033）
