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

Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.

Molecular medicine reports - 1 Jun 2018

Wang Yuzhi, Zhang Yi, Huang Qian, Li Chengwen

Abstract excerpt

Breast cancer (BC) is the leading malignancy in women worldwide, yet relatively little is known about the genes and signaling pathways involved in BC tumorigenesis and progression. The present study aimed to elucidate potential key candidate genes and pathways in BC. Five gene expression profile data sets (GSE22035, GSE3744, GSE5764, GSE21422 and GSE26910) were downloaded from the Gene Expression Omnibus (GEO)...

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 Breast Neoplasms
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Gene Ontology

Share to Protein Interaction Mapping

Share to Protein Interaction Maps

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 29693125
DOI: 10.3892/mmr.2018.8895
PMCID: PMC5983982

Genes

NDC80

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.PMID 29693125Read ↗

Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validationSemantic proximity Read ↗

Identification of grade-specific diagnostic and prognostic biomarkers of key candidate genes and pathways in breast cancer by integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Key Genes and Pathways in Breast Cancer Based on Bioinformatic AnalysisSemantic proximity Read ↗

Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic AnalysisSemantic proximity Read ↗

Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools.Semantic proximity Read ↗

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

Systematic identification of molecular links between core and candidate genes in breast cancer.Semantic proximity Read ↗

Screening and verification of potential gene targets in the metastasis of breast cancer by bioinformatics analysis and immunohistochemistrySemantic proximity Read ↗

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysisSemantic proximity Read ↗

Differentially Expressed Genes and Key Pathways in Triple Negative Breast Cancers: A Bioinformatics AnalysisSemantic proximity Read ↗

Demystifying the role of prognostic biomarkers in breast cancer through integrated transcriptome and pathway enrichment analysesSemantic proximity Read ↗

Identification of Seven Cell Cycle-Related Genes with Unfavorable Prognosis and Construction of their TF-miRNA-mRNA regulatory network in Breast CancerSemantic proximity Read ↗

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