机构：[1]Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China,浙江大学医学院附属第一医院[2]Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China,[3]Breast Center Department, The Fourth Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, China,河北医科大学第四医院外一科临床科室[4]Department of Breast Head and Neck surgery, The 3rd Affiliated Teaching Hospital of Xinjiang Medical University (Affiliated Tumor Hospital), Urumqi, China
To identify a glycolysis-related gene signature for the evaluation of prognosis in patients with breast cancer, we analyzed the data of a training set from TCGA database and four validation cohorts from the GEO and ICGC databases which included 1,632 patients with breast cancer. We conducted GSEA, univariate Cox regression, LASSO, and multiple Cox regression analysis. Finally, an 11-gene signature related to glycolysis for predicting survival in patients with breast cancer was developed. And Kaplan-Meier analysis and ROC analyses suggested that the signature showed a good prognostic ability for BC in the TCGA, ICGC, and GEO datasets. The analyses of univariate Cox regression and multivariate Cox regression revealed that it's an important prognostic factor independent of multiple clinical features. Moreover, a prognostic nomogram, combining the gene signature and clinical characteristics of patients, was constructed. These findings provide insights into the identification of breast cancer patients with a poor prognosis.
第一作者机构：[1]Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China,[2]Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China,
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Zhang Dai,Zheng Yi,Yang Si,et al.Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival[J].FRONTIERS IN ONCOLOGY.2021,10:doi:10.3389/fonc.2020.596087.
APA：
Zhang, Dai,Zheng, Yi,Yang, Si,Li, Yiche,Wang, Meng...&Dai, Zhijun.(2021).Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival.FRONTIERS IN ONCOLOGY,10,
MLA：
Zhang, Dai,et al."Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival".FRONTIERS IN ONCOLOGY 10.(2021)
