2019
DOI: 10.1016/j.mce.2019.110455
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Correlation between renin-angiotensin system (RAS) related genes, type 2 diabetes, and cancer: Insights from metanalysis of transcriptomics data

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Cited by 7 publications
(5 citation statements)
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“…83 The renin-angiotensin system (RAS) is closely associated with the pathogenesis of insulin resistance/diabetes, 84 and RAS inhibition improves insulin sensitivity in humans. 85 In our study, PIK3CD and PIK3R5 were enriched in all relevant significantly downregulated pathways. Consistent with our findings, PIK3CD expression was significantly reduced in T2DM in a previous study.…”
Section: Discussionsupporting
confidence: 51%
See 1 more Smart Citation
“…83 The renin-angiotensin system (RAS) is closely associated with the pathogenesis of insulin resistance/diabetes, 84 and RAS inhibition improves insulin sensitivity in humans. 85 In our study, PIK3CD and PIK3R5 were enriched in all relevant significantly downregulated pathways. Consistent with our findings, PIK3CD expression was significantly reduced in T2DM in a previous study.…”
Section: Discussionsupporting
confidence: 51%
“… 83 The renin–angiotensin system (RAS) is closely associated with the pathogenesis of insulin resistance/diabetes, 84 and RAS inhibition improves insulin sensitivity in humans. 85 …”
Section: Discussionmentioning
confidence: 99%
“…Several studies have shown that compared with the general population, patients with T2DM have a higher risk of malignancies, such as endometrial, colorectal, liver, pancreatic, breast, and urinary tract cancer, including kidney and BC [ 16 , 18 , 23 , 24 , 25 ]. Studies undertaken to explore the mechanisms of T2DM and changes in the renin–angiotensin system that might lead to carcinogenesis [ 26 ] found probable associations with hyperglycemia, inflammation, insulin resistance, and hormonal dysregulation [ 26 ]. However, in our study ( Figure 2 ), T2DM patients did not have a higher risk of BC.…”
Section: Discussionmentioning
confidence: 99%
“…Differentially expressed gene analysis RNA-seq and clinical information data from Geodataset and The Cancer Genome Atlas (TCGA) were performed as previously described [31][32][33] .Basically, we used TCGAbiolinks and the TCGAbiolinksGUI R package to compare differentially expressed genes (DEGs) in normal and melanoma (SKCM) and oral squamous cell carcinoma (OSCC). Normal samples were obtained from The Genotype-Tissue Expression (GTEx) project.…”
Section: Methodsmentioning
confidence: 99%