Open AccessA Novel Transcription Factor-Based Prognostic Signature in Endometrial Cancer: Establishment and Validation
Author(s) -
Xiao Yang,
Yuan Cheng,
Xingchen Li,
Jingyi Zhou,
Yangyang Dong,
Boqiang Shen,
Lijun Zhao,
Jianliu Wang
Publication year - 2021
Publication title -
oncotargets and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 60
ISSN - 1178-6930
DOI - 10.2147/ott.s293085
Subject(s) - nomogram , oncology , cohort , medicine , proportional hazards model , endometrial cancer , transcription factor , univariate , gene signature , e2f1 , survival analysis , multivariate statistics , bioinformatics , cancer , biology , gene , gene expression , computer science , cell cycle , genetics , machine learning
Endometrial cancer (EC) is a common malignancy of the female reproductive system worldwide. Increasing evidence has suggested that many transcription factors are aberrantly expressed in various cancers. This study aimed to develop a transcription factor-based prognostic signature for EC.