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 Novel Biomarkers Associated With the Prognosis and Potential Pathogenesis of Breast Cancer via Integrated Bioinformatics Analysis.

Technology in cancer research & treatment - 1 Jan 2000

Wu Meng, Li Qingdai, Wang Hongbing

Abstract excerpt

BACKGROUND: Breast cancer is the most commonly diagnosed malignancy and a major cause of cancer-related deaths in women globally. Identification of novel prognostic and pathogenesis biomarkers play a pivotal role in the management of the disease. METHODS: Three data sets from the GEO database were used to identify differentially expressed genes (DEGs) in breast cancer. Gene Ontology (GO) enrichment and Kyoto...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers, Tumor
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Disease Susceptibility

Share to Gene Ontology

Share to Immunohistochemistry

Share to Kaplan-Meier Estimate

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 33550915
DOI: 10.1177/1533033821992081
PMCID: PMC7876582

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 Novel Biomarkers Associated With the Prognosis and Potential Pathogenesis of Breast Cancer via Integrated Bioinformatics Analysis.PMID 33550915Read ↗

Screening of breast cancer diagnostic and prognostic biomarkers using bioinformatics analysisSemantic proximity Read ↗

Screening of breast cancer biomarkers based on bioinformatics analysisSemantic proximity Read ↗

Identification of Diagnostic Markers for Breast Cancer Based on Differential Gene Expression and Pathway NetworkSemantic proximity Read ↗

Bioinformatics Identification of Prognostic Factors Associated With Breast CancerSemantic proximity Read ↗

Bioinformatics Identification of Prognostic Factors Associated with Breast CancerSemantic proximity Read ↗

Bioinformatics Identification of Prognostic Factors Associated With Breast CancerSemantic proximity Read ↗

Integrated transcriptome interactome study of oncogenes and tumor suppressor genes in breast cancerSemantic proximity Read ↗

Construction and validation of a prognostic risk model for breast cancer based on protein expressionSemantic proximity Read ↗

A novel prognostic model associated with the overall survival in patients with breast cancer based on lipid metabolism‐related long noncoding RNAsSemantic proximity Read ↗

Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets.Semantic proximity Read ↗

Gene Expression Profiles Reveal Potential Targets for Breast Cancer Diagnosis and TreatmentSemantic proximity Read ↗

Identification of Subtype-Specific Prognostic Biomarkers in Breast CancerSemantic proximity Read ↗

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