ArticleGenes & cancer2015
Microarray profile of human kidney from diabetes, renal cell carcinoma and renal cell carcinoma with diabetes.
Article in Genes & cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
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- GUCA2A dysregulation as a promising biomarker for accurate diagnosis and prognosis of colorectal cancer.Clinical and experimental medicine · 2024Article
- The Role of Metabolic Factors in Renal Cancers.International journal of molecular sciences · 2020Review
- Identification of crucial genes and pathways associated with colorectal cancer by bioinformatics analysis.Oncology letters · 2020Article
- Type 2 Diabetes in Relation to the Risk of Renal Cell Carcinoma Among Men and Women in Two Large Prospective Cohort Studies.Diabetes care · 2018Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Recent study from our laboratory showed that patients with diabetes are at a higher risk of developing kidney cancer. In the current study, we have screened whole human DNA genome from healthy control, patients with diabetes or renal cell carcinoma (RCC) or RCC+diabetes. We found that 883 genes gain/163 genes loss of copy number in RCC+diabetes group, 669 genes gain/307 genes loss in RCC group and 458 genes gain/38 genes loss of copy number in diabetes group, after removing gain/loss genes obtained from healthy control group. Data analyzed for functional annotation enrichment pathways showed that control group had the highest number (280) of enriched pathways, 191 in diabetes+RCC group, 148 in RCC group, and 81 in diabetes group. The overlap GO pathways between RCC+diabetes and RCC groups showed that nine were enriched, between RCC+diabetes and diabetes groups was four and between diabetes and RCC groups was eight GO pathways. Overall, we observed majority of DNA alterations in patients from RCC+diabetes group. Interestingly, insulin receptor (INSR) is highly expressed and had gains in copy number in RCC+diabetes and diabetes groups. The changes in INSR copy number may use as a biomarker for predicting RCC development in diabetic patients.
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Registered trials
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