Identification and validation of a novel estrogen-related model for breast cancer to predict the prognosis

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Authors: Manzhi Xia, Shufeng Dong, Jie Cao, Jia Wang, Chunlei Wang
Cited by: 1

Abstract

Background: Breast cancer (BRCA) is a common malignant tumor in women globally and has a poor prognosis. Molecular targeted therapy is a promising way for improving the treatment of BRCA. This study aimed to identify potential biomarkers for BRCA and construct a prognostic model. Methods: validation was finally performed. Results: overexpression significantly enhanced the invasion and migration of BRCA cells. It also inhibited the expression levels of p-STAT5, p-STAT3 and p-smad2/3 in BRCA cells. Conclusions: We identified four hub genes closely related to the prognosis of BRCA, and a risk model constructed by these four genes may be useful for risk stratification and prognosis evaluation in BRCA patients.

Fields of Study & Subjects

Breast Cancer Treatment Studies Estrogen and related hormone effects HER2/EGFR in Cancer Research

Publication details

Journal / source
Translational Cancer Research
Publisher
AME Publishing Company
Volume
15
Issue
2
Pages
107–107
Publication date
1 February 2026
Language
EN