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

Identifying biomarkers of papillary renal cell carcinoma associated with pathological stage by weighted gene co-expression network analysis

2 Mar 2017

Abstract excerpt

Although papillary renal cell carcinoma (PRCC) accounts for 10%-15% of renal cell carcinoma (RCC), no predictive molecular biomarker is currently applicable to guiding disease stage of PRCC patients. The mRNASeq data of PRCC and adjacent normal tissue in The Cancer Genome Atlas was analyzed to identify 1148 differentially expressed genes, on which weighted gene co-expression network analysis was performed. Then...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Genomics and Diagnostics
Share to Ferroptosis and cancer prognosis
Share to Renal cell carcinoma treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 28427189
DOI: 10.18632/oncotarget.15842

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

Identifying biomarkers of papillary renal cell carcinoma associated with pathological stage by weighted gene co-expression network analysisPMID 28427189Read ↗

Identification of Biomarkers Associated With Pathological Stage and Prognosis of Clear Cell Renal Cell Carcinoma by Co-expression Network AnalysisSemantic proximity Read ↗

Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysisSemantic proximity Read ↗

Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC)Semantic proximity Read ↗

Identification of biomarkers of chromophobe renal cell carcinoma by weighted gene co-expression network analysisSemantic proximity Read ↗

Identifying novel biomarkers in hepatocellular carcinoma by weighted gene co‐expression network analysisSemantic proximity Read ↗

Identification of hub genes in papillary thyroid carcinoma: robust rank aggregation and weighted gene co-expression network analysisSemantic proximity Read ↗

A novel prognostic predictor for clear cell renal cell carcinoma constructed by weighted gene co-expression correlation network analysisSemantic proximity Read ↗

Novel Biomarkers Associated With Progression and Prognosis of Bladder Cancer Identified by Co-expression AnalysisSemantic proximity Read ↗

Identification Cure Hub Genes of Chromophobe Cell Renal Carcinoma : A study based on Weighted Gene Co-expression Network Analysis (WGCNA) and the Cure Defective ModelsSemantic proximity Read ↗

Identification of Hub Genes Associated With Clear Cell Renal Cell Carcinoma by Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Identification of Biomarkers Correlated with the TNM Staging and Overall Survival of Patients with Bladder CancerSemantic proximity Read ↗

Four novel biomarkers for bladder cancer identified by weighted gene coexpression network analysisSemantic proximity Read ↗

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