Stratification of Estrogen Receptor-Positive Breast Cancer Patients by Co-Expression Network Analysis

被引：0
作者：
Hou, Jie [1 ]
机构：
[1] Huzhou Coll, Publ Teaching & Res Dept, Huzhou, Peoples R China
来源：
2024 5TH INTERNATIONAL CONFERENCE ON COMPUTER, BIG DATA AND ARTIFICIAL INTELLIGENCE, ICCBD+AI | 2024年
关键词：
breast cancer; estrogen receptor-positive; co-expression network analysis; cancer molecular classification;
D O I：
10.1109/ICCBD-AI65562.2024.00020
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Endocrine therapy plays a vital role in treating estrogen receptor-positive breast cancer, yet drug resistance continues to pose a significant challenge, highlighting the need for more effective biomarkers to enhance patient stratification. In this study, a novel gene module screening workflow was developed to identify hub genes related to estrogen receptor status using co-expression network analysis. The identified key modules exhibited a strong association with estrogen receptor status and were enriched in cancer-related pathways. A total of 29 hub genes were pinpointed within these modules and validated as potential biomarkers in two independent datasets. This method offers fresh perspectives on identifying molecular biomarkers and uncovering novel therapeutic targets for estrogen receptor-positive breast cancer.
引用
收藏
页码：76 / 79
页数：4
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