The Impact of the Coexpression of MET and ESR Genes on Prognosticators and Clinical Outcomes of Breast Cancer: An Analysis for the METABRIC Dataset
Purpose. Breast cancer is a heterogeneous disease. Exploring new prognostic and therapeutic targets in patients with breast cancer is essential. This study investigated the expression of MET, ESR1, and ESR2 genes and their association with clinicopathologic characteristics and clinical outcomes in p...
Saved in:
Main Authors: | Nehad M. Ayoub, Ghaith M. Al-Taani, Amer E. Alkhalifa, Dalia R. Ibrahim, Aymen Shatnawi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | The Breast Journal |
Online Access: | http://dx.doi.org/10.1155/2024/2582341 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sparse Gene Coexpression Network Analysis Reveals EIF3J-AS1 as a Prognostic Marker for Breast Cancer
by: Xin Chen, et al.
Published: (2018-01-01) -
Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer
by: Huiying Qiao, et al.
Published: (2022-01-01) -
The association of codon 392 polymorphism in ESR2 gene with breast cancer in Iran
by: Sakineh Abbasi, et al.
Published: (2019-12-01) -
Gene Coexpression Network Comparison via Persistent Homology
by: Ali Nabi Duman, et al.
Published: (2018-01-01) -
The effect of thioredoxin and prochymosin coexpression on the refolding of recombinant alpaca chymosin
by: S. V. Belenkaya, et al.
Published: (2023-07-01)