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

Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma

30 May 2018

Abstract excerpt

The present study aimed to identify new key genes as potential biomarkers for the diagnosis, prognosis or targeted therapy of clear cell renal cell carcinoma (ccRCC). Three expression profiles (GSE36895, GSE46699 and GSE71963) were collected from Gene Expression Omnibus. GEO2R was used to identify differentially expressed genes (DEGs) in ccRCC tissues and normal samples. The Database for Annotation, Visualization...

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: 30008862
DOI: 10.3892/ol.2018.8842

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinomaPMID 30008862Read ↗

Systematic identification of key genes and pathways in clear cell renal cell carcinoma on bioinformatics analysisSemantic proximity Read ↗

Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysisSemantic proximity Read ↗

Identification of biomarkers of clear cell renal cell carcinoma by bioinformatics analysisSemantic proximity Read ↗

Identification of EGFR as a Novel Key Gene in Clear Cell Renal Cell Carcinoma (ccRCC) through Bioinformatics Analysis and Meta-AnalysisSemantic proximity Read ↗

Key Genes Associated With Prognosis and Metastasis of Clear Cell Renal Cell CarcinomaSemantic proximity Read ↗

Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinomaSemantic proximity Read ↗

Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinomaSemantic proximity Read ↗

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

Bioinformatics analysis and verification of gene targets for renal clear cell carcinomaSemantic proximity Read ↗

Identification of prognostic genes in kidney renal clear cell carcinoma by RNA-seq data analysisSemantic proximity Read ↗

Clear Cell Renal Cell Carcinoma: A Comprehensive in silico Study in Searching for Therapeutic TargetsSemantic 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.