医学信息2024，Vol.37Issue(1)：22-28,34,8.DOI:10.3969/j.issn.1006-1959.2024.01.004
基于糖酵解相关基因GFUS对三阴性乳腺癌疗效预测模型构建与验证
Construction and Validation of a Prediction Model for the Efficacy of Triple-negative Breast Cancer Based on the Glycolysis-related Gene GFUS
摘要
Abstract
Objective To explore the predictive value of glycolysis-related gene GDP-L-amylose synthase(GFUS)on the prognostic profile of triple-negative breast cancer(TNBC)based on bioinformatics database information.Methods The gene expression information of TNBC was obtained from the Cancer Genome Atlas(TCGA)database.The differential expression and prognostic differences of GFUS in TNBC were analyzed by bioinformatics methods.The co-expressed genes with GFUS were screened to establish a prognostic model for TNBC and verified.Results The gene transcriptome data of 160 TNBC tissues and 113 normal tissues were downloaded from the TCGA database,which verified that the high expression of GFUS in TNBC was associated with poor prognosis.Based on GFUS co-expressed genes,three genes related to TNBC prognosis were obtained by COX regression analysis to construct the model.According to the prognostic model,the external data set training samples were divided into high-risk group(45 cases)and low-risk group(62 cases).Kaplan-Meier survival analysis showed that the total survival of the high-risk group was lower than that of the low-risk group,and the difference was statistically significant(P＜0.05).Conclusion The model based on the glycolysis-related gene GFUS can effectively predict the prognosis of TNBC and provide new ideas for individualized treatment.关键词
三阴性乳腺癌/GDP-L-岩藻糖合酶/预后模型Key words
Triple-negative breast cancer/GDP-L-amylose synthase/Prognostic model分类
医药卫生引用本文复制引用
章海斌,王练..基于糖酵解相关基因GFUS对三阴性乳腺癌疗效预测模型构建与验证[J].医学信息,2024,37(1):22-28,34,8.基金项目
蚌埠医学院自然科学重点项目(编号:2021byzd095) （编号:2021byzd095）
