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 genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis

17 Mar 2020

Abstract excerpt

BACKGROUND: Cervical cancer as one of the most common malignant tumors lead to bad prognosis among women. Some researches already focus on the carcinogenesis and pathogenesis of cervical cancer, but it is still necessary to identify more key genes and pathways. METHODS: Differentially expressed genes were identified by GEO2R from the gene expression omnibus (GEO) website, then gene ontology (GO) and Kyoto...

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 Endometrial and Cervical Cancer Treatments
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32181600
DOI: 10.1002/mgg3.1200

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysisPMID 32181600Read ↗

Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysisSemantic proximity Read ↗

Identification of Potential Diagnostic and Prognostic Biomarkers for Cervical CancerSemantic proximity Read ↗

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

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

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

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

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

Identification of prognosis-related genes in the cervical cancer immune microenvironmentSemantic proximity Read ↗

Expression and prognosis of CDC45 in cervical cancer based on the GEO databaseSemantic proximity Read ↗

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

Screening and Discovery of New Potential Biomarkers and Small Molecule Drugs for Cervical Cancer: A Bioinformatics AnalysisSemantic proximity Read ↗

A Five-Genes-Based Prognostic Signature for Cervical Cancer Overall Survival PredictionSemantic proximity Read ↗

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