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Clinical and metabolomics analysis of hepatocellular carcinoma patients with diabetes mellitus

  • Hongping Xia
  • , Jianxiang Chen
  • , Karthik Sekar
  • , Ming Shi
  • , Tian Xie
  • , Kam M. Hui
  • Hangzhou Normal University
  • National Cancer Centre
  • Sun Yat-Sen University
  • Nanjing Medical University
  • Agency for Science, Technology and Research, Singapore
  • National University of Singapore
  • Duke-NUS Medical School

科研成果: 期刊稿件文章同行评审

15 引用 (Scopus)

摘要

Introduction: Diabetes and cancer are among the most frequent causes of death worldwide. Recent epidemiological findings have indicated a link between diabetes and cancer in several organs, particularly the liver. A number of epidemiological studies have demonstrated that diabetes is an established independent risk factor for hepatocellular carcinoma (HCC). However, the metabolites connecting diabetes and HCC remains less well understood. Objectives: The study aimed to identify clinical and metabolomics differences of HCC from patients with/without diabetes using comprehensive global metabolomics analysis. Methods: Metabolite profiling was conducted with the Metabolon platform for 120 human diabetes/non-diabetes HCC tumor/normal tissues. Standard statistical analyses were performed using the Partek Genomics Suite on log-transformed data. Principal component analysis (PCA) was conducted using all and dysregulated metabolites. Results: We identified a group of metabolites that are differentially expressed in the tumor tissues of diabetes HCC compared to non-diabetes HCC patients. Meanwhile, we also identified a group of metabolites that are differentially expressed in the matched normal liver tissues of diabetes HCC compared to non-diabetes HCC patients. Some metabolites are consistently dysregulated in the tumor or matched normal tissues of HCC with or without diabetes. However, some metabolites, including 2-hydroxystearate, were only overexpressed in the tumor tissues of HCC with diabetes and associated with the glucose level. Conclusion: Metabolic profiling identifies distinct dysregulated metabolites in HCC patients with/without diabetes.

源语言英语
文章编号156
期刊Metabolomics
15
12
DOI
出版状态已出版 - 1 12月 2019

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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