Open AccessExploring Prognosis-Associated Biomarkers of Estrogen-Independent Uterine Corpus Endometrial Carcinoma by Bioinformatics Analysis
Author(s) -
Youchun Ye,
Hongfeng Li,
Bing Ji,
Liangfei Wang,
Yijie Wang,
Hui Huang
Publication year - 2021
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s341345
Subject(s) - competing endogenous rna , microrna , biology , gene expression , gene , computational biology , messenger rna , gene regulatory network , bioinformatics , oncology , rna , cancer research , medicine , long non coding rna , genetics
Uterine corpus endometrial carcinoma (UCEC) is one of the most common female cancers with high incidence and mortality rates. In particular, the prognosis of type II UCEC is poorer than that of type I. However, the molecular mechanism underlying type II UCEC remains unclear.