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 genes with poor prognosis in ovarian cancer via bioinformatical analysis

22 Apr 2019

Abstract excerpt

Ovarian cancer (OC) is the highest frequent malignant gynecologic tumor with very complicated pathogenesis. The purpose of the present academic work was to identify significant genes with poor outcome and their underlying mechanisms. Gene expression profiles of GSE36668, GSE14407 and GSE18520 were available from GEO database. There are 69 OC tissues and 26 normal tissues in the three profile datasets....

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 Ferroptosis and cancer prognosis
Share to RNA modifications and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31010415
DOI: 10.1186/s13048-019-0508-2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysisPMID 31010415Read ↗

Integrative analysis of key candidate genes and signaling pathways in ovarian cancer by bioinformaticsSemantic proximity Read ↗

Combinatorial Bioinformatics Analysis Reveals Novel Biomarkers for Improved Ovarian Cancer PrognosisSemantic proximity Read ↗

Identification of Candidate Biomarkers Associated with Ovarian Cancer Progression and Prognosis by Integrated Microarray AnalysisSemantic proximity Read ↗

Screening key genes related to ovarian cancer and exploring their possible molecular mechanismsSemantic proximity Read ↗

Identification of Potential Markers for Differentiating Epithelial Ovarian Cancer from Ovarian Low Malignant Potential Tumors through Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Gene expression profiling of ovarian carcinomas and prognostic analysis of outcomeSemantic proximity Read ↗

Identification of hub genes and a prognostic model associated with ovarian cancerSemantic proximity Read ↗

Identification of hub genes and a prognostic model associated with ovarian cancerSemantic proximity Read ↗

Integrative Bioinformatics Approaches to Map Potential Novel Genes and Pathways Involved in Ovarian CancerSemantic proximity Read ↗

Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.Semantic proximity Read ↗

Advanced stage, high-grade primary tumor ovarian cancer: a multi-omics dissection and biomarker prediction processSemantic proximity Read ↗

Identification of potential biomarkers in subtypes of epithelial ovarian cancerSemantic proximity Read ↗

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