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

Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome

30 Jul 2015

Abstract excerpt

BACKGROUND: Ovarian cancer (OCA), the fifth leading deaths cancer to women, is famous for its low survival rate in epithelial ovarian cancer cases, which is very complicated and hard to be diagnosed from asymptomatic nature in the early stage. Thus, it is urgent to develop an effective genetic prognostic strategy. METHODS: Current study using the Database for Annotation, Visualization and Integrated Discovery...

Read the complete abstract on PubMed

Topics

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

Share to Bioinformatics and Genomic Networks
Share to Ferroptosis and cancer prognosis
Share to Ovarian cancer diagnosis and treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 26228058
DOI: 10.1186/s13048-015-0176-9

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

Gene expression profiling of ovarian carcinomas and prognostic analysis of outcomePMID 26228058Read ↗

Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysisSemantic proximity Read ↗

Gene Co-Expression Network Analysis Confirms Four Independent Predictors of Survival In Ovarian Cancer Patients Under Optimal Debulking SurgerySemantic proximity Read ↗

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

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

Bioinformatics analysis to screen the key prognostic genes in ovarian cancerSemantic proximity Read ↗

Development of a five-gene signature as a novel prognostic marker in ovarian cancerSemantic proximity Read ↗

Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer.Semantic proximity Read ↗

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

A novel risk score system for assessment of ovarian cancer based on co-expression network analysis and expression level of five lncRNAsSemantic proximity Read ↗

Identification and validation of a 9-gene signature for the prognosis of ovarian cancer by integrated bioinformatical analysisSemantic proximity Read ↗

Identification of prognostic genes after platinum-based chemotherapy in ovarian cancerSemantic proximity Read ↗

Identification of differentially expressed genes and signaling pathways in ovarian cancer by integrated bioinformatics analysisSemantic proximity Read ↗

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