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

Microarray‐based identification of genes associated with prognosis and drug resistance in ovarian cancer

18 Oct 2018

Abstract excerpt

The outcome for patients with ovarian cancer (OC) is poor because of drug resistance. Therefore, identification of factors that affect drug resistance and prognosis in OC is needed. In the present study, we identified 131 genes significantly dysregulated in 90 platinum-resistant OC tissues compared with 197 sensitive tissues, of which 30 were significantly associated with disease-free survival (DFS; n = 16),...

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 MicroRNA in disease regulation
Share to Ovarian cancer diagnosis and treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30335894
DOI: 10.1002/jcb.27892

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

Microarray‐based identification of genes associated with prognosis and drug resistance in ovarian cancerPMID 30335894Read ↗

Cross-validation of genes potentially associated with overall survival and drug resistance in ovarian cancerSemantic proximity Read ↗

Gene Expression Profiles in Ovarian Cancer Tissues as a Potential Tool to Predict Platinum-based Chemotherapy ResistanceSemantic proximity Read ↗

A risk model of gene signatures for predicting platinum response and survival in ovarian cancerSemantic proximity Read ↗

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

Identification of Three Potential Prognostic Genes in Platinum-Resistant Ovarian Cancer via Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Mitophagy-related long non-coding RNA signature predicts prognosis and drug response in Ovarian CancerSemantic proximity Read ↗

Leveraging Genomics, Transcriptomics, and Epigenomics to Understand the Biology and Chemoresistance of Ovarian CancerSemantic proximity Read ↗

Identification of platinum-resistance related small GTPase binding signatures to predict the prognosis of ovarian cancer by machine learning and integrated bioinformatic analysesSemantic proximity Read ↗

Novel regulatory and transcriptional networks associated with resistance to platinum-based chemotherapy in ovarian cancerSemantic proximity Read ↗

MEOX2 mediates cisplatin resistance in ovarian cancer via E2F target and DNA repair pathwaysSemantic proximity Read ↗

Confluence analysis of multiple omics on platinum resistance of ovarian cancer.Semantic proximity Read ↗

Molecular profiling of platinum resistant ovarian cancerSemantic proximity Read ↗

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