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Obesity-Associated Differentially Methylated Regions in Colon Cancer

  • John J. Milner(corresponding author)
    ,
  • Zhao Feng Chen
    ,
  • James Grayson
    ,
  • Shyang Yun Pamela Koong Shiao
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Obesity with adiposity is a common disorder in modern days, influenced by environmental factors such as eating and lifestyle habits and affecting the epigenetics of adipose-based gene regula-tions and metabolic pathways in colorectal cancer (CRC). We compared epigenetic changes of differ-entially methylated regions (DMR) of genes in colon tissues of 225 colon cancer cases (154 non-obese and 71 obese) and 15 healthy non-obese controls by accessing The Cancer Genome Atlas (TCGA) data. We applied machine-learning-based analytics including generalized regression (GR) as a con-firmatory validation model to identify the factors that could contribute to DMRs impacting colon cancer to enhance prediction accuracy. We found that age was a significant predictor in obese cancer patients, both alone (p = 0.003) and interacting with hypomethylated DMRs of ZBTB46, a tumor suppressor gene (p = 0.008). DMRs of three additional genes: HIST1H3I (p = 0.001), an oncogene with a hypomethylated DMR in the promoter region; SRGAP2C (p = 0.006), a tumor suppressor gene with a hypermethylated DMR in the promoter region; and NFATC4 (p = 0.006), an adipocyte differentiating oncogene with a hypermethylated DMR in an intron region, are also significant predictors of cancer in obese patients, independent of age. The genes affected by these DMR could be potential novel biomarkers of colon cancer in obese patients for cancer prevention and progression.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

660

Journal (Volume, Issue Number)

Journal of Personalized Medicine (Volume 12, Issue 5)

Publication milestones

  • Published - 05/2022

Publication status

Published - 05/2022

Publication IDs

  • Scopus: 85129430764

Publication metrics

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Scopus
citations
Fractional count
2
Fractional count
0.50
Fractional count
2
Fractional count
0.50
Fractional count
2
Fractional count
1

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16

Funding Details

Shaoyong Su from the Georgia Prevention Institute for his support in methy-lation analysis. The results published here are in whole or part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga (accessed on 16 June 2018).