Literature DB >> 30585632

The underlying pathophysiology association between the Type 2-diabetic and hepatocellular carcinoma.

Huamei Wei1,2, Jianchu Wang2,3, Wenchuan Li2,3, Rihai Ma2,3, Zuoming Xu4, Zongjiang Luo4, Yuan Lu4, Xiaoyu Zhang1, Xidai Long1,2, Jian Pu2,3, Qianli Tang2,3.   

Abstract

Type 2-diabetic (T2D) disease has been reported to increase the incidence of liver cancer, however, the underlying pathophysiology is still not fully understood. Here, we aimed to reveal the underlying pathophysiology association between the T2D and hepatocellular carcinoma (HCC) and, therefore, to find the possible therapeutic targets in the occurrence and development of HCC. The methylation microarray data of T2D and HCC were extracted from the Gene Expression Omnibus and The Cancer Genome Atlas. A total of 504 differentially methylated genes (DMGs) between T2D samples and the controls were identified, whereas 6269 DMGs were identified between HCC samples and the control groups. There were 336 DMGs coexisting in diabetes and HCC, among which 86 genes were comethylated genes. These genes were mostly enriched in pathways as glycosaminoglycan biosynthesis, fatty acid, and metabolic pathway as glycosaminoglycan degradation and thiamine, fructose and mannose. There were 250 DMGs that had differential methylation direction between T2D DMGs and HCC DMGs, and these genes were enriched in the Sphingolipid metabolism pathway and immune pathways through natural killer cell-mediated cytotoxicity and ak-STAT signaling pathway. Eight genes were found related to the occurrence and development of diabetes and HCC. Moreover, the result of protein-protein interaction network showed that CDKN1A gene was related to the prognosis of HCC. In summary, eight genes were found to be associated with the development of HCC and CDKN1A may serve as the potential prognostic gene for HCC.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Type 2-diabetic (T2D); differentially methylated genes (DMGs); hepatocellular carcinoma (HCC); methylation

Mesh:

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Year:  2018        PMID: 30585632     DOI: 10.1002/jcp.27919

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  5 in total

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  5 in total

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