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

Prediction and analysis of novel key genes ITGAX, LAPTM5, SERPINE1 in clear cell renal cell carcinoma through bioinformatics analysis

20 Apr 2021

Abstract excerpt

BACKGROUND: Clear Cell Renal Cell Carcinoma (CCRCC) is the most aggressive subtype of Renal Cell Carcinoma (RCC) with high metastasis and recurrence rates. This study aims to find new potential key genes of CCRCC. METHODS: Four gene expression profiles (GSE12606, GSE53000, GSE68417, and GSE66272) were downloaded from the Gene Expression Omnibus (GEO) database. The TCGA KIRC data was downloaded from The Cancer...

Read the complete abstract on PubMed

Topics

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

Share to Clusterin in disease pathology
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: 33976979
DOI: 10.7717/peerj.11272

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prediction and analysis of novel key genes ITGAX, LAPTM5, SERPINE1 in clear cell renal cell carcinoma through bioinformatics analysisPMID 33976979Read ↗

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

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

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

Integrated analysis of the functions of RNA binding proteins in clear cell renal cell carcinomaSemantic proximity Read ↗

Identification of key genes CCL5, PLG, LOX and C3 in clear cell renal cell carcinoma through integrated bioinformatics analysisSemantic proximity Read ↗

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

Identification a ceRNA (XIST/miR-10a-5p/SERPINE1) Axis as a Prognostic Biomarker in Kidney Renal Clear Cell Carcinoma.Semantic proximity Read ↗

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

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

Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinomaSemantic proximity Read ↗

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

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