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 key pathways and genes in the progression of cervical cancer using bioinformatics analysis

22 May 2018

Abstract excerpt

The aim of the present study was to investigate the key pathways and genes in the progression of cervical cancer. The gene expression profiles GSE7803 and GSE63514 were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using GEO2R and the limma package, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Mechanisms and Therapy
Share to Cervical Cancer and HPV Research
Share to TGF-β signaling in diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29963176
DOI: 10.3892/ol.2018.8768

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysisPMID 29963176Read ↗

Comprehensive gene and pathway analysis of cervical cancer progressionSemantic proximity Read ↗

Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancerSemantic proximity Read ↗

Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysisSemantic proximity Read ↗

Bioinformatics analysis and identification of potential genes related to pathogenesis of cervical intraepithelial neoplasiaSemantic proximity Read ↗

Expression profiling of cervical cancers in <scp>I</scp>ndian women at different stages to identify gene signatures during progression of the diseaseSemantic proximity Read ↗

Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation StudiesSemantic proximity Read ↗

PCNA in Cervical Intraepithelial Neoplasia and Cervical Cancer: An Interaction Network Analysis of Differentially Expressed GenesSemantic proximity Read ↗

Integrated Analysis of ceRNA Regulatory Network Associated With Tumor Stage in Cervical CancerSemantic proximity Read ↗

Identification of Key Pathways and Establishment of a Seven-Gene Prognostic Signature in Cervical CancerSemantic proximity Read ↗

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic MethodsSemantic proximity Read ↗

Identification of Key Genes and Pathways associated with Chemotherapy and Radiotherapy Sensitivity in Locally Advanced Cervical CancerSemantic proximity Read ↗

Identification of Key Genes and Pathways Associated with Chemotherapy and Radiotherapy Sensitivity in Locally Advanced Cervical CancerSemantic proximity Read ↗

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