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. 2018 Jun;10(6):733-743.
doi: 10.2217/epi-2017-0141. Epub 2018 Jun 11.

Promoter methylation of PGC1A and PGC1B predicts cancer incidence in a veteran cohort

Jacob K Kresovich  1   2 , Brian T Joyce  1   2 , Tao Gao  1 , Yinan Zheng  1 , Zhou Zhang  1 , Christopher J Achenbach  2   3 , Robert L Murphy  2   3 , Allan C Just  4 , Jincheng Shen  5 , Hushan Yang  6 , Pantel Vokonas  7 , Joel Schwartz  8 , Andrea A Baccarelli  9 , Lifang Hou  1   2
Affiliations

Promoter methylation of PGC1A and PGC1B predicts cancer incidence in a veteran cohort

Jacob K Kresovich et al. Epigenomics. 2018 Jun.

Abstract

Aim: Previous studies suggest telomere shortening represses PGC1A and PGC1B expression leading to mitochondrial dysfunction. Methylation of CpG sites within these genes may interact with these factors to affect cancer risk.

Materials & methods: Among 385 men, we identified 84 incidents of cancers (predominantly prostate and nonmelanoma skin). We examined associations between leukocyte DNA methylation of 41 CpGs from PGC1A and PGC1B with telomere length, mitochondrial 8-OHdG lesions, mitochondrial abundance and cancer incidence.

Results: Methylation of five and eight CpG sites were significantly associated with telomere length and mitochondrial abundance at p < 0.05. Two CpG sites were independently associated with cancer risk: cg27514608 (PGC1A, TSS1500; HR: 1.55, 95% CI: 1.19-2.03, FDR = 0.02), and cg15219393 (PGC1B, first exon/5'UTR; HR: 3.71, 95% CI: 1.82-7.58, FDR < 0.01). Associations with cg15219393 were observed primarily among men with shorter leukocyte telomeres.

Conclusion: PGC1A and PGC1B methylation may serve as early biomarkers of cancer risk.

Keywords: DNA methylation; cancer biomarkers; cancer epigenetics.

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Conflict of interest statement

Financial & competing interests disclosure

The Epidemiology Research and Information Center of US Department of Veterans Affairs (NIEHS R01-ES015172) support the Normative Aging Study, which is a research component of the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC). L Hou, C Achenbach and R Murphy received support from the National Cancer Institute (U54-CA221205). L Hou received additional support from the Northwestern University Robert H Lurie Comprehensive Cancer Center Rosenberg Research Fund. A Baccarelli and J Schwartz received additional support from the National Institute of Environmental Health Sciences (NIEHS R01-ES021733 and NIEHS P30-ES00002). J Kresovich received additional support from the National Cancer Institute Cancer Education and Career Development Program (NIH R25-CA057699). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Figures

<b>Figure 1.</b>
Figure 1.. PGC1A methylation associations with cancer risk.
Genomic (A), RefSeq and tested CpG site locations for PGC1A (B). Arrows denote direction of transcription (right to left). (C) shows the resulting hazard point estimates and 99% confidence intervals for each individual CpG site. Dotted confidence intervals represent FDR > 0.05. FDR: False discovery rate.
<b>Figure 2.</b>
Figure 2.. PGC1B methylation associations with cancer risk.
Genomic (A), RefSeq and tested CpG site locations for PGC1B (B). Arrows denote direction of transcription (left to right). (C) shows the resulting hazard point estimates and 99% confidence intervals for each individual CpG site. Dotted confidence intervals represent FDR > 0.05. FDR: False discovery rate.
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