ArticleInternational urology and nephrology2014
Key pathways and genes controlling the development and progression of clear cell renal cell carcinoma (ccRCC) based on gene set enrichment analysis.
Article in International urology and nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Gene set enrichment analysis and meta-analysis identified 12 key genes regulating and controlling the prognosis of lung adenocarcinoma.Oncology letters · 2019Article
- Article
- Key miRNAs and target genes played roles in the development of clear cell renal cell carcinoma.Cancer biomarkers : section A of Disease markers · 2018Article
- Changes in levels of metabolic pathway gene expression under conditions of clear cell renal carcinoma.Doklady. Biochemistry and biophysics · 2017Article
- DNA methylation status defines clinicopathological parameters including survival for patients with clear cell renal cell carcinoma (ccRCC).Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula.Evidence-based complementary and alternative medicine : eCAM · 2016Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
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Abstract
backgroundClear-cell renal cell carcinoma (ccRCC) is one of the most common types of kidney cancer in adults; however, its causes are not completely understood. The study was designed to filter the key pathways and genes associated with the occurrence or development of ccRCC, acquaint its pathogenesis at gene and pathway level, to provide more theory evidence and targeted therapy for ccRCC.
methodsGene set enrichment analysis (GSEA) and meta-analysis (Meta) were used to screen the critical pathways and genes which may affect the occurrence and progression of ccRCC on the transcription level. Corresponding pathways of significant genes were obtained with the online website DAVID ( http://david.abcc.ncifcrf.gov/ ).
resultsThirty seven consistent pathways and key genes in these pathways related to ccRCC were obtained with combined GSEA and meta-analysis. These pathways were mainly involved in metabolism, organismal systems, cellular processes and environmental information processing.
conclusionThe gene pathways that we identified could provide insight concerning the development of ccRCC. Further studies are needed to determine the biological function for the positive genes.
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