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 Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods

1 Jan 2018

Abstract excerpt

Cervical cancer is the leading cause of death with gynecological malignancies. We aimed to explore the molecular mechanism of carcinogenesis and biomarkers for cervical cancer by integrated bioinformatic analysis. We employed RNA-sequencing details of 254 cervical squamous cell carcinomas and 3 normal samples from The Cancer Genome Atlas. To explore the distinct pathways, messenger RNA expression was submitted to...

Read the complete abstract on PubMed

Topics

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

Share to Cervical Cancer and HPV Research
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: 29642758
DOI: 10.1177/1533033818767455

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic MethodsPMID 29642758Read ↗

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

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 the transcriptional expression of minichromosome maintenance proteins as potential indicators of survival in patients with cervical cancerSemantic proximity Read ↗

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

Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancerSemantic proximity Read ↗

miRNAs role in cervical cancer pathogenesis and targeted therapy: Signaling pathways interplaySemantic proximity Read ↗

Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnostic model.Semantic proximity Read ↗

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

Hsa_circ_0000301 facilitates the progression of cervical cancer by targeting miR-1228-3p/IRF4 AxisSemantic proximity Read ↗

Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical CancerSemantic proximity Read ↗

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

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