Back to Search Start Over

Comprehensive Transcriptomic and Proteomic Analyses Identify a Candidate Gene Set in Cross-Resistance for Endocrine Therapy in Breast Cancer.

Authors :
Li, Chung-Liang
Moi, Sin-Hua
Lin, Huei-Shan
Hou, Ming-Feng
Chen, Fang-Ming
Shih, Shen-Liang
Kan, Jung-Yu
Kao, Chieh-Ni
Wu, Yi-Chia
Kao, Li-Chun
Chen, Ying-Hsuan
Lee, Yi-Chen
Chiang, Chih-Po
Source :
International Journal of Molecular Sciences. Sep2022, Vol. 23 Issue 18, pN.PAG-N.PAG. 19p.
Publication Year :
2022

Abstract

Endocrine therapy (ET) of selective estrogen receptor modulators (SERMs), selective estrogen receptor downregulators (SERDs), and aromatase inhibitors (AIs) has been used as the gold standard treatment for hormone-receptor-positive (HR+) breast cancer. Despite its clinical benefits, approximately 30% of patients develop ET resistance, which remains a major clinical challenge in patients with HR+ breast cancer. The mechanisms of ET resistance mainly focus on mutations in the ER and related pathways; however, other targets still exist from ligand-independent ER reactivation. Moreover, mutations in the ER that confer resistance to SERMs or AIs seldom appear in SERDs. To date, little research has been conducted to identify a critical target that appears in both SERMs/SERDs and AIs. In this study, we conducted comprehensive transcriptomic and proteomic analyses from two cohorts of The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) to identify the critical targets for both SERMs/SERDs and AIs of ET resistance. From a treatment response cohort with treatment response for the initial ET regimen and an endocrine therapy cohort with survival outcomes, we identified candidate gene sets that appeared in both SERMs/SERDs and AIs of ET resistance. The candidate gene sets successfully differentiated progress/resistant groups (PD) from complete response groups (CR) and were significantly correlated with survival outcomes in both cohorts. In summary, this study provides valuable clinical implications for the critical roles played by candidate gene sets in the diagnosis, mechanism, and therapeutic strategy for both SERMs/SERDs and AIs of ET resistance for the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
23
Issue :
18
Database :
Academic Search Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
159300173
Full Text :
https://doi.org/10.3390/ijms231810539