Weighted gene co-expression network analysis identifies a novel immune-related gene signature and nomogram to predict the survival and immune infiltration status of breast cancer-Reference-Cited by-同舟云学术

Weighted gene co-expression network analysis identifies a novel immune-related gene signature and nomogram to predict the survival and immune infiltration status of breast cancer

Published:2022 Issue:7 Volume:46 Page:1661-1673
ISSN:1667-5746
Container-title:BIOCELL
language:en
Short-container-title:

Author:

LIU JUNXIA,PANG KE,HE FEI

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.techscience.com/biocell/v46n7/47034/pdf

Reference50 articles.

1. Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer;Abubakar;Modern Pathology,2019

2. A novel prognostic two-gene signature for triple negative breast cancer;Alsaleem;Modern Pathology,2020

3. The balance between breast cancer and the immune system: Challenges for prognosis and clinical benefit from immunotherapies;Baxevanis;Seminars in Cancer Biology,2021

4. Viral infection of cells within the tumor microenvironment mediates antitumor immunotherapy via selective TBK1-IRF3 signaling;Brown;Nature Communications,2021

5. The VAV family of signal transduction molecules;Bustelo;Critical Reviews™ in Oncogenesis,1996

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revealing Cellular Heterogeneity and Key Regulatory Factors of Triple-Negative Breast Cancer through Single-Cell RNA Sequencing;Frontiers in Bioscience-Landmark;2024-08-19

2. ENST00000535926 is an unfavorable prognosis-related and tumor-promoting transcript of the CHPF gene in luminal A and B breast cancer;BIOCELL;2023