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基于失巢凋亡相关基因的乳腺癌预后模型构建与验证

唐明政 徐京灏 李晓凤 荣耀 于博 蔡辉

中国医科大学学报2024,Vol.53Issue(4):315-323,9.
中国医科大学学报2024,Vol.53Issue(4):315-323,9.DOI:10.12007/j.issn.0258-4646.2024.04.005

基于失巢凋亡相关基因的乳腺癌预后模型构建与验证

Construction and validation of breast cancer prognosis model based on anoikis-related genes

唐明政 1徐京灏 2李晓凤 2荣耀 1于博 2蔡辉3

作者信息

  • 1. 甘肃中医药大学第一临床医学院,兰州 730000||甘肃省人民医院普外科临床医学中心,兰州 730000||甘肃省人民医院甘肃省外科肿瘤分子诊断与精准医学重点实验室,兰州 730000
  • 2. 甘肃中医药大学第一临床医学院,兰州 730000
  • 3. 甘肃省人民医院普外科临床医学中心,兰州 730000||甘肃省人民医院甘肃省外科肿瘤分子诊断与精准医学重点实验室,兰州 730000
  • 折叠

摘要

Abstract

Objective To construct a prognostic model of anoikis-related genes(ARGs)in breast cancer(BC)and provide more effective guidance for clinical practice.Methods The transcriptome and clinical data of patients with BC were collected from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases.The ARGs were divided into types A and B,and survival and pathway analyses were performed.Cox regression and least absolute shrinkage and selection operator(LASSO)regression were used to analyze variations in the survival prognosis,immune microenvironment,and tumor microenvironment.The prognostic ARGs were used to construct a prognostic model.Finally,the expression of prognosis-related ARGs in BC cells was verified using real-time polymerase chain reaction(PCR).Results Ten ARGs related to poor prognosis of BC were identified,and the risk scores of these ten ARGs were used as inde-pendent prognostic factors for patients with BC.Finally,the risk score was combined with the clinicopathological features of BC to con-struct a nomogram.The results of the decision curve analysis showed that the patients in this model would benefit from clinical treatment strategies.Real-time PCR analysis showed that the expression levels of YAP1,PIK3R1,BAK1,PHLDA2,EDA2R,CD24,SLC2A1,and CDC25Cwere upregulated in BC cells,whereas SLC39A6and LAMB3in BC cells were downregulated.Conclusion ARGs can be used as biomarkers for risk stratification and survival prediction in patients with BC and provide a basis for individualized and precise treatment of these patients.

关键词

乳腺癌/失巢凋亡/免疫/预后/肿瘤微环境

Key words

breast cancer/anoikis/immunity/prognosis/tumor microenvironment

分类

医药卫生

引用本文复制引用

唐明政,徐京灏,李晓凤,荣耀,于博,蔡辉..基于失巢凋亡相关基因的乳腺癌预后模型构建与验证[J].中国医科大学学报,2024,53(4):315-323,9.

基金项目

国家自然科学基金(82360498) (82360498)

甘肃省联合科研基金重大项目(23JRRA1537) (23JRRA1537)

中央引导地方科技发展基金(ZYYDDFFZZJ-1) (ZYYDDFFZZJ-1)

甘肃中医药大学研究生创新创业基金(38号) (38号)

中国医科大学学报

OA北大核心CSTPCD

0258-4646

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