Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer
Background. Immune checkpoint inhibitors are a promising therapeutic strategy for breast cancer (BRCA) patients. The tumor microenvironment (TME) can downregulate the immune response to cancer therapy. Our study is aimed at finding a TME-related biomarker to identify patients who might respond to im...
Saved in:
Main Authors: | Huiying Qiao, Rong Lv, Yongkui Pang, Zhibing Yao, Xi Zhou, Wei Zhu, Wenqing Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Analytical Cellular Pathology |
Online Access: | http://dx.doi.org/10.1155/2022/5259187 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database
by: Wenqing Zhou, et al.
Published: (2020-01-01) -
Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis
by: Hongliang Zhang, et al.
Published: (2022-01-01) -
The Impact of the Coexpression of MET and ESR Genes on Prognosticators and Clinical Outcomes of Breast Cancer: An Analysis for the METABRIC Dataset
by: Nehad M. Ayoub, et al.
Published: (2024-01-01) -
Sparse Gene Coexpression Network Analysis Reveals EIF3J-AS1 as a Prognostic Marker for Breast Cancer
by: Xin Chen, et al.
Published: (2018-01-01) -
Gene Coexpression Network Comparison via Persistent Homology
by: Ali Nabi Duman, et al.
Published: (2018-01-01)