ArticleOncology letters2018
Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Network-based gene deletion analysis identifies candidate genes and molecular mechanism involved in clear cell renal cell carcinoma.Journal of genetics · 2021Pooled it
- Article
- Bioinformatics Study Identified EGF as a Crucial Gene in Papillary Renal Cell Cancer.Disease markers · 2022Article
- Identification of TYROBP and FCER1G as Key Genes with Prognostic Value in Clear Cell Renal Cell Carcinoma by Bioinformatics Analysis.Biochemical genetics · 2021Article
- Transgelin Contributes to a Poor Response of Metastatic Renal Cell Carcinoma to Sunitinib Treatment.Biomedicines · 2021Article
- The Choice of Candidates in Survival Markers Based on Coordinated Gene Expression in Renal Cancer.Frontiers in oncology · 2021Article
- Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma.Bioscience reports · 2020Article
- Integrated Analysis of Three Publicly Available Gene Expression Profiles Identified Genes and Pathways Associated with Clear Cell Renal Cell Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Identification of biomarkers of clear cell renal cell carcinoma by bioinformatics analysis.Medicine · 2020Article
- Identification of hub genes associated with outcome of clear cell renal cell carcinoma.Oncology letters · 2020Article
- Comprehensive analysis of somatic copy number alterations in clear cell renal cell carcinoma.Molecular carcinogenesis · 2020Article
- Lactotransferrin Downregulation Drives the Metastatic Progression in Clear Cell Renal Cell Carcinoma.Cancers · 2020Article
- The Genes-Candidates for Prognostic Markers of Metastasis by Expression Level in Clear Cell Renal Cell Cancer.Diagnostics (Basel, Switzerland) · 2020Article
- Circular RNA circ-CSPP1 regulates CCNE2 to facilitate hepatocellular carcinoma cell growth via sponging miR-577.Cancer cell international · 2020Article
- Gene Expression and Co-expression Networks Are Strongly Altered Through Stages in Clear Cell Renal Carcinoma.Frontiers in genetics · 2020Article
- Identification of Potential Biomarkers with Diagnostic Value in Pituitary Adenomas Using Prediction Analysis for Microarrays Method.Journal of molecular neuroscience : MN · 2019Article
- Article
- Diagnostic and prognostic value of CEP55 in clear cell renal cell carcinoma as determined by bioinformatics analysis.Molecular medicine reports · 2019Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 and Integrated Discovery was utilized for functional and pathway enrichment analysis. STRING v10.5 and Molecular Complex Detection were used for protein-protein interaction (PPI) network construction and module analysis, respectively. Regulation network analyses were performed with the WebGestal tool. UALCAN web-portal was used for expression validation and survival analysis of hub genes in ccRCC patients from The Cancer Genome Atlas (TCGA). A total of 65 up- and 164 downregulated genes were identified as DEGs. DEGs were enriched with functional terms and pathways compactly related to ccRCC pathogenesis. Seventeen hub genes and one significant module were filtered out and selected from the PPI network. The differential expression of hub genes was verified in TCGA patients. Kaplan-Meier plot showed that high mRNA expression of enolase 2 (
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