Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of potential prognostic biomarkers for breast cancer using WGCNA and PPI integrated techniques.

Annals of diagnostic pathology - 1 Feb 2021

Zheng Guili, Zhang Cong, Zhong Chen

Abstract excerpt

In this study, we aimed to detect promising prognostic factors of breast cancer and interpreted the relevant mechanisms using an integrated bioinformatics analysis. RNA sequencing profile of breast cancer was downloaded from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases, which were combined as a group (TCGA_GTEx). GSE70947 dataset was from Gene Expression Omnibus. Blue and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Databases, Factual
Share to DNA Repair Enzymes
Share to Exodeoxyribonucleases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Kinesins

Share to Protein Interaction Maps

Share to Sequence Analysis, RNA

Share to Survival Analysis

Share to Up-Regulation

Source

Identifiers

PMID: 33291061
DOI: 10.1016/j.anndiagpath.2020.151675

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of potential prognostic biomarkers for breast cancer using WGCNA and PPI integrated techniques.PMID 33291061Read ↗

Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNASemantic proximity Read ↗

A Systems Biology Approach to Unveil Shared Therapeutic Targets and Pathological Pathways Across Major Human CancersSemantic proximity Read ↗

Using Weighted Gene Co-Expression Network Analysis to Identify Increased MND1 Expression as a Predictor of Poor Breast Cancer SurvivalSemantic proximity Read ↗

Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network AnalysisSemantic proximity Read ↗

Weighted gene co-expression network analysis reveals modules and hub genes associated with the development of breast cancerSemantic proximity Read ↗

Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysisSemantic proximity Read ↗

A systems biology approach to unveil shared therapeutic targets and pathological pathways across major human cancersSemantic proximity Read ↗

Identification and validation of a 9-gene signature for the prognosis of ovarian cancer by integrated bioinformatical analysisSemantic proximity Read ↗

Four novel biomarkers for bladder cancer identified by weighted gene coexpression network analysisSemantic proximity Read ↗

Construct ion of co - expression modules related to survival by WGCNA and identif ication of potential prognostic biomarkers in glioblastomaSemantic proximity Read ↗

Determination of a six-gene prognostic model for cervical cancer based on WGCNA combined with LASSO and Cox-PH analysisSemantic proximity Read ↗

An epithelial–mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.