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

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

4 Nov 2017

Abstract excerpt

Human clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignant adult kidney tumors. We constructed a weighted gene co-expression network to identify gene modules associated with clinical features of ccRCC (n = 97). Six hub genes (CCNB2, CDC20, CEP55, KIF20A, TOP2A and UBE2C) were identified in both co-expression and protein-protein interaction (PPI) networks, which were highly...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Renal and related cancers
Share to Renal cell carcinoma treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29159069
DOI: 10.1016/j.gdata.2017.10.006

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

Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC)PMID 29159069Read ↗

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 ↗

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

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

Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysisSemantic proximity Read ↗

Identification of Core Genes Involved in the Metastasis of Clear Cell Renal Cell CarcinomaSemantic proximity Read ↗

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

Identifying novel biomarkers in hepatocellular carcinoma by 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 ↗

Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinomaSemantic proximity Read ↗

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