ArticleFrontiers in physiology2018
Identification of Biomarkers Associated With Pathological Stage and Prognosis of Clear Cell Renal Cell Carcinoma by Co-expression Network Analysis.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 75 citations in OpenAlex.
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- Bioinformatics-driven identification of prognostic biomarkers in kidney renal clear cell carcinoma.Frontiers in nephrology · 2024Article
- Tumor purity-associated genes influence hepatocellular carcinoma prognosis and tumor microenvironment.Frontiers in oncology · 2023Article
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- Identification of Three Key Genes Associated with Hepatocellular Carcinoma Progression Based on Co-expression Analysis.Cell biochemistry and biophysics · 2022Article
- Unbiased comparison and modularization identify time-related transcriptomic reprogramming in exercised rat cartilage: Integrated data mining and experimental validation.Frontiers in physiology · 2022Article
- Identification of diagnostic mRNA biomarkers in whole blood for ankylosing spondylitis using WGCNA and machine learning feature selection.Frontiers in immunology · 2022Article
- Identification of Four Novel Prognostic Biomarkers and Construction of Two Nomograms in Adrenocortical Carcinoma: A Multi-Omics Data StudyFrontiers in molecular biosciences · 2022Article
- Novel Diagnostic Value of Driver Gene Transcription Signatures to Characterise Clear Cell Renal Cell Carcinoma, ccRCC.Pathology oncology research : POR · 2022Article
- Regulatory association of long noncoding RNAs and chromatin accessibility facilitates erythroid differentiation.Blood advances · 2021Article
- Identification of a prognostic chemoresistance-related gene signature associated with immune microenvironment in breast cancer.Bioengineered · 2021Article
- Pan-cancer analysis of pathway-based gene expression pattern at the individual level reveals biomarkers of clinical prognosis.Cell reports methods · 2021Article
- Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker.Oncology letters · 2021Article
- Identifying Clear Cell Renal Cell Carcinoma Coexpression Networks Associated with Opioid Signaling and Survival.Cancer research · 2021Article
- Article
- Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis.PeerJ · 2021Article
- Overexpression of GINS4 Is Associated With Tumor Progression and Poor Survival in Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most common subtype among renal cancer whose prognostic is affected by the tumor progression associated with complex gene interactions. However, there is currently no available molecular markers associated with ccRCC progression and used or clinical application. In our study, microarray data of 101 ccRCC samples and 95 normal kidney samples were analyzed and 2,425 differentially expressed genes (DEGs) were screened. Weighted gene co-expression network analysis (WGCNA) was then conducted and 11 co-expressed gene modules were identified. Module preservation analysis revealed that two modules (red and black) were found to be most stable. In addition, Pearson's correlation analysis identified the module most relevant to pathological stage(patho-module) (
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