Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus.
Enrique Almanza-AguileraDolores CorellaDolores CorellaAlbert SanllorenteEmilio RosOlga PortolésJulieta ValussiRamon EstruchOscar ColtellIsaac SubiranaSilvia CanudasCristina RazquinGemma BlanchartLara NonellMontserrat FitóOlga CastanerPublished in: Journal of clinical medicine (2020)
We aimed to explore the differences in the whole transcriptome of peripheral blood mononuclear cells between elderly individuals with and without type 2 diabetes (T2D). We conducted a microarray-based transcriptome analysis of 19 individuals with T2D and 15 without. Differentially expressed genes according to linear models were submitted to the Ingenuity Pathway Analysis system to conduct a functional enrichment analysis. We established that diseases, biological functions, and canonical signaling pathways were significantly associated with T2D patients when their logarithms of Benjamini-Hochberg-adjusted p-value were >1.30 and their absolute z-scores were >2.0 (≥2.0 meant "upregulation" and ≤ -2.0 "downregulation"). Cancer signaling pathways were the most upregulated ones in T2D (z-score = 2.63, -log(p-value) = 32.3; 88.5% (n = 906) of the total differentially expressed genes located in these pathways). In particular, integrin (z-score = 2.52, -log(p-value) = 2.03) and paxillin (z-score = 2.33, -log(p-value) = 1.46) signaling pathways were predicted to be upregulated, whereas the Rho guanosine diphosphate (Rho-GDP) dissociation inhibitor signaling pathway was predicted to be downregulated in T2D individuals (z-score = -2.14, -log(p-value) = 2.41). Our results suggest that, at transcriptional expression level, elderly individuals with T2D present an increased activation of signaling pathways related to neoplastic processes, T-cell activation and migration, and inflammation.
Keyphrases
- signaling pathway
- pi k akt
- genome wide
- type diabetes
- induced apoptosis
- epithelial mesenchymal transition
- papillary thyroid
- gene expression
- single cell
- rna seq
- poor prognosis
- oxidative stress
- cell proliferation
- bioinformatics analysis
- squamous cell carcinoma
- transcription factor
- cardiovascular disease
- newly diagnosed
- adipose tissue
- insulin resistance
- end stage renal disease
- long non coding rna
- endoplasmic reticulum stress
- binding protein
- genome wide analysis
- neural network
- chronic kidney disease
- data analysis
- glycemic control
- patient reported
- weight loss
- genome wide identification