Association of Methylation Signatures at Hepatocellular Carcinoma Pathway Genes with Adiposity and Insulin Resistance Phenotypes.
Omar Ramos-LopezJose I Riezu-BojFermin Ignacio MilagroJ Alfredo Martineznull nullPublished in: Nutrition and cancer (2018)
Obesity and type 2 diabetes mellitus are independent risk factors for the onset and progression of hepatocellular carcinoma (HCC). This study aimed to analyze the association of DNA methylation signatures at HCC pathway genes with obesity and related metabolic disturbances. A population of 474 adults within the Methyl Epigenome Network Association (MENA) project was included. DNA methylation levels were measured in white blood cells by microarray. The identification and discrimination of HCC pathway genes were performed using KEGG and PathDIP databases. Anthropometry measurements, the blood metabolic profile, and clinical data were analyzed. The methylation patterns of 20 CpG sites at HCC pathway genes strongly correlated with BMI (FDR <0.0001). These genes encompassed GADD45A, MTOR, FRAT2, E2F3, WNT7B, FRAT1, LRP5, DPF3, GSTA2, APC, MYC, WNT10B, ARID1B, AKT1, GSTA1, WNT5A, CDK4, GAB1, TCF7, which statistically contributed to the regulation of the HCC pathway (P = 2.10e-07). The main biological process where these genes were implicated included uncontrolled cell proliferation, DNA damage, increased survival, and altered oncogenic expression. Interestingly, 9 out of 20 BMI-associated CpGs also correlated with waist circumference and HOMA-IR index. In conclusion, pathway analysis revealed potential associations of DNA methylation signatures at HCC pathway genes with adiposity and insulin resistance phenotypes.
Keyphrases
- genome wide
- dna methylation
- insulin resistance
- cell proliferation
- bioinformatics analysis
- body mass index
- metabolic syndrome
- gene expression
- dna damage
- copy number
- adipose tissue
- stem cells
- type diabetes
- weight gain
- cell cycle
- high fat diet
- weight loss
- skeletal muscle
- poor prognosis
- high fat diet induced
- cardiovascular disease
- polycystic ovary syndrome
- climate change
- physical activity
- binding protein
- electronic health record
- body weight
- cardiovascular risk factors