Open AccessEpithelial–Mesenchymal Transition-Based Gene Signature and Distinct Molecular Subtypes for Predicting Clinical Outcomes in Breast Cancer
Author(s) -
Lili Hou,
Shuang Hou,
Lei Yin,
Shuai Zhao,
Xiaohua Li
Publication year - 2022
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.s343885
Subject(s) - nomogram , breast cancer , oncology , medicine , univariate , gene signature , receiver operating characteristic , proportional hazards model , multivariate analysis , univariate analysis , multivariate statistics , cancer , bioinformatics , gene , biology , gene expression , machine learning , genetics , computer science
Regulation of inducers and transcription factor families influence epithelial-mesenchymal transition (EMT), a contributing factor to breast cancer invasion and progression.