Identifying biomarkers to predict the progression and prognosis of breast cancer by weighted gene co-expression network analysis

G Shi, Z Shen, Y Liu, W Yin - Frontiers in Genetics, 2020 - frontiersin.org
Breast cancer (BC) is the leading cause of cancer death among women worldwide. The
molecular mechanisms of its pathogenesis are still to be investigated. In our study …

Identification of hub genes associated with breast cancer using integrated gene expression data with protein-protein interaction network

MK Elbashir, M Mohammed, H Mwambi, B Omolo - Applied Sciences, 2023 - mdpi.com
Breast cancer (BC) is the most incident cancer type among women. BC is also ranked as the
second leading cause of death among all cancer types. Therefore, early detection and …

[HTML][HTML] Identification of hub genes using co-expression network analysis in breast cancer as a tool to predict different stages

Y Fu, QZ Zhou, XL Zhang, ZZ Wang… - Medical science monitor …, 2019 - ncbi.nlm.nih.gov
Identification of Hub Genes Using Co-Expression Network Analysis in Breast Cancer as a Tool
to Predict Different Stages - PMC Back to Top Skip to main content NIH NLM Logo Access keys …

Co-expression of key gene modules and pathways of human breast cancer cell lines

Y Wu, F Liu, S Luo, X Yin, D He, J Liu, Z Yue… - Bioscience …, 2019 - portlandpress.com
Breast cancer (BC) is the most common leading cause of cancer-related death in women
worldwide. Gene expression profiling analysis for human BCs has been studied previously …

Prognostic genes of breast cancer identified by gene co-expression network analysis

J Tang, D Kong, Q Cui, K Wang, D Zhang… - Frontiers in …, 2018 - frontiersin.org
Breast cancer is one of the most common malignancies. The molecular mechanisms of its
pathogenesis are still to be investigated. The aim of this study was to identify the potential …

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis

G Chen, M Yu, J Cao, H Zhao, Y Dai, Y Cong… - …, 2021 - Taylor & Francis
Breast cancer (BC) is a malignancy with high incidence among women in the world. This
study aims to screen key genes and potential prognostic biomarkers for BC using …

Identification of potential crucial genes and key pathways in breast cancer using bioinformatic analysis

JL Deng, Y Xu, G Wang - Frontiers in genetics, 2019 - frontiersin.org
Background: The molecular mechanism of tumorigenesis remains to be fully understood in
breast cancer. It is urgently required to identify genes that are associated with breast cancer …

Prognostic genes of breast cancer revealed by gene co‑expression network analysis

H Shi, L Zhang, Y Qu, L Hou, L Wang… - Oncology …, 2017 - spandidos-publications.com
The aim of the present study was to identify genes that may serve as markers for breast
cancer prognosis by constructing a gene co‑expression network and mining modules …

Co-expression network analysis identified candidate biomarkers in association with progression and prognosis of breast cancer

Q Zhou, J Ren, J Hou, G Wang, L Ju, Y Xiao… - Journal of Cancer …, 2019 - Springer
Purpose Breast cancer is one of the most common malignancies among females, and its
prognosis is affected by a complex network of gene interactions. Weighted gene co …

Single-Nucleotide polymorphisms promote dysregulation activation by essential gene mediated bio-molecular interaction in breast cancer

X Wang, Z Zhao, X Han, Y Zhang, Y Zhang, F Li… - Frontiers in …, 2021 - frontiersin.org
Background Breast cancer (BRCA) is a malignant tumor with a high mortality rate and poor
prognosis in patients. However, understanding the molecular mechanism of breast cancer is …