医学分子生物学杂志2025，Vol.22Issue(5)：442-451,10.DOI:10.3870/j.issn.1672-8009.2025.05.005
基于生物信息学分析乳酸代谢基因对肺鳞癌预后及免疫微环境的影响
Effect of Lactic Acid Metabolism Genes on Prognosis of Lung Squa-mous Cell Carcinoma and Immune Microenvironment Based on Bioin-formatics Analysis
摘要
Abstract
Objective To screen out differentially expressed lactic acid metabolism genes in lung squamous cell carcinoma(LUSC),and to investigate their influence on LUSC prognosis and immune microenvironment through bioinformatics analysis.Methods RNA sequencing and clinical data were obtained from public databases.Differentially expressed lactic acid metabolism genes in LUSC and normal tissues were identified by integrated bioinformatics analysis.Univariate Cox,LAS-SO and multivariate Cox regression analyses were applied to screen out survival-associated lactic acid metabolism genes.CIBERSORT was used to evaluate the relationship between gene expression atlas and immune cell infiltration in patients of different risk groups.Kaplan-Meier(KM)survival analy-sis and receiver operating characteristics(ROC)were used to verify the predictive power of the model in an internal training cohort and an external validation cohort,respectively.Risk groups and clinical information were combined to produce a nomogram to predict the survival time of LUSC pa-tients.Results A total of 34 survival-associated lactic acid metabolism genes were successfully screened out,and prognosis models were constructed based on these genes.According to this mod-el,LUSC patients were divided into a high-risk group and a low-risk group.Resting CD4+memory T cells(P=0.001),activated CD4+memory T cells(P＜0.001),resting NK cells(P=0.03),monocytes(P=0.01),M0 macrophages(P=0.009),activated dendritic cells(P＜0.001),active mast cells(P=0.04)and neutrophils(P＜0.001)in LUSC immune microenvi-ronment were associated with risk groups.KM survival analysis showed that the total survival time of the low-risk group was significantly longer than that of the high-risk group(P＜0.001).The areas under the ROC curve(AUC)of LUSC patients at 1,3 and 5 years were all larger than 0.7.After combining risk groups and clinical information,a nomogram was obtained that could predict the sur-vival rate of LUSC patients at 1,3 and 5 years,and the correction curve showed a good prediction accuracy.Conclusion LUSC prognosis model and its risk groups constructed by 34 lactic acid me-tabolism genes can be used to evaluate the immune microenvironment and the survival rate of LUSC patients at 1,3 and 5 years.关键词
肺鳞癌/预后模型/免疫微环境/乳酸代谢/生物信息学Key words
lung squamous cell carcinoma/prognosis model/immune microenvironment/lactic acid metabolism/bioinformatics分类
医药卫生引用本文复制引用
陈胜泽,唐诗帅,周梅,金阳,许娟娟..基于生物信息学分析乳酸代谢基因对肺鳞癌预后及免疫微环境的影响[J].医学分子生物学杂志,2025,22(5):442-451,10.基金项目
国家重点研发项目(No.2023YFC0872500),国家自然科学基金(No.82270110),湖北省重点研发计划项目(No.2023BCB146),京山联合面上项目(No.2023-XHJS-029) This work was supported by grants from the National Key Research and Development Program of China(No.2023YFC0872500),National Natural Science Foundation of China(No.82270110),Key Research and Development Plan Project of Hubei Province of China(No.2023BCB146),Jinshan People's Hos-pital Joint Normal Program(No.2023-XHJS-029) （No.2023YFC0872500）
