Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients

被引:8
作者
Wang, Xiaolong [1 ]
Li, Chen [1 ]
Chen, Tong [1 ]
Li, Wenhao [1 ]
Zhang, Hanwen [1 ]
Zhang, Dong [1 ]
Liu, Ying [1 ]
Han, Dianwen [1 ]
Li, Yaming [1 ]
Li, Zheng [1 ]
Luo, Dan [2 ]
Zhang, Ning [1 ]
Yang, Qifeng [1 ,2 ,3 ]
机构
[1] Shandong Univ, Dept Breast Surg, Qilu Hosp, Jinan, Peoples R China
[2] Shandong Univ, Dept Pathol Tissue Bank, Qilu Hosp, Jinan, Peoples R China
[3] Shandong Univ, Res Inst Breast Canc, Jinan, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
基金
中国国家自然科学基金;
关键词
breast cancer; bioinformatics; LASSO COX; prognostic biomarkers; risk score; individualized therapy; POOR-PROGNOSIS; GENE; EXPRESSION; ENDOTHELINS; REGRESSION; SELECTION; KEGG;
D O I
10.3389/fonc.2021.660242
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Recent years, the global prevalence of breast cancer (BC) was still high and the underlying molecular mechanisms remained largely unknown. The investigation of prognosis-related biomarkers had become an urgent demand. Results In this study, gene expression profiles and clinical information of breast cancer patients were downloaded from the TCGA database. The differentially expressed genes (DEGs) were estimated by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A risk score formula involving five novel prognostic associated biomarkers (EDN2, CLEC3B, SV2C, WT1, and MUC2) were then constructed by LASSO. The prognostic value of the risk model was further confirmed in the TCGA entire cohort and an independent external validation cohort. To explore the biological functions of the selected genes, in vitro assays were performed, indicating that these novel biomarkers could markedly influence breast cancer progression. Conclusions We established a predictive five-gene signature, which could be helpful for a personalized management in breast cancer patients.
引用
收藏
页数:15
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