A robust immune-related gene pairs signature for predicting the overall survival of esophageal cancer

作者全名:"Zheng, Wei; Fang, Gaofeng; Huang, Qiao; Shi, Dan; Xie, Biao"

作者地址:"[Zheng, Wei] Chongqing Med Univ, Affiliated Hosp 1, Dept Cardiol, Chongqing, Peoples R China; [Fang, Gaofeng; Shi, Dan] Chongqing Med Univ, Dept Nutr & Food Hyg, Chongqing, Peoples R China; [Huang, Qiao] Chongqing Med & Pharmaceut Coll, Basic Dept, Anat Teaching & Res Sect, Chongqing, Peoples R China; [Xie, Biao] Chongqing Med Univ, Dept Biostat, Chongqing, Peoples R China"

通信作者:"Shi, D (通讯作者),Chongqing Med Univ, Dept Nutr & Food Hyg, Chongqing, Peoples R China.; Xie, B (通讯作者),Chongqing Med Univ, Dept Biostat, Chongqing, Peoples R China."

来源:BMC GENOMICS

ESI学科分类:MOLECULAR BIOLOGY & GENETICS

WOS号:WOS:001026957600004

JCR分区:Q2

影响因子:3.5

年份:2023

卷号:24

期号:1

开始页: 

结束页: 

文献类型:Article

关键词:Esophageal cancer; Prognosis; Immune-related gene pairs; Bioinformatic analysis; Cells lines

摘要:"BackgroundIdentifying reliable biomarkers could effectively predict esophagus carcinoma (EC) patients with poor prognosis. In this work, we constructed an immune-related gene pairs (IRGP) signature to evaluate the prognosis of EC.ResultsThe IRGP signature was trained by the TCGA cohort and validated by three GEO datasets, respectively. Cox regression model together with LASSO was applied to construct the overall survival (OS) associated IRGP. 21 IRGPs consisting of 38 immune-related genes were included in our signature, according to which patients were stratified into high- and low-risk groups. The results of Kaplan-Meier survival analyses indicated that high-risk EC patients had worse OS than low-risk group in the training set, meta-validation set and all independent validation datasets. After adjustment in multivariate Cox analyses, our signature continued to be an independent prognostic factor of EC and the signature-based nomogram could effectively predict the prognosis of EC sufferers. Besides, Gene Ontology analysis revealed this signature is related to immunity. 'CIBERSORT' analysis revealed the infiltration levels of plasma cells and activated CD4 memory T cells in two risk groups were significantly different. Ultimately, we validated the expression levels of six selected genes from IRGP index in KYSE-150 and KYSE-450.ConclusionsThis IRGP signature could be applied to select EC patients with high mortality risk, thereby improving prospects for the treatment of EC."

基金机构:"Postdoctoral Science Foundation of Chongqing [cstc2021jcyj-bshX0220]; National Natural Science Foundation of China [82204159, 8210120502]"

基金资助正文:"Postdoctoral Science Foundation of Chongqing (cstc2021jcyj-bshX0220) and National Natural Science Foundation of China (82204159, 8210120502)."