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American Association for Cancer Research, Cancer Epidemiology, Biomarkers & Prevention, 8(29), p. 1577-1585, 2020

DOI: 10.1158/1055-9965.epi-20-0378

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DNA methylation derived immune cell profiles, CpG markers of inflammation, and pancreatic cancer risk

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

Abstract Background: Pancreatic cancer is projected to become the second most common cause of cancer-related death over the next 5 years. Because inflammation is thought to be a common trajectory for disease initiation, we sought to prospectively characterize immune profiles using DNA methylation markers and examine DNA methylation levels previously linked to inflammation biomarkers to evaluate whether these immune markers play a key role in pancreatic cancer. Methods: In a nested case–control study pooling three U.S. prospective cohort studies, DNA methylation was measured in prediagnostic leukocytes of incident pancreatic cancer cases and matched controls using the Illumina MethylationEPIC array. Differentially methylated regions were used to predict immune cell types, and CpGs previously associated with inflammatory biomarkers were selected for the analysis. DNA methylation data from a retrospective case–control study conducted in Spain (PanGenEU) was used for independent replication. Results: Immune cell proportions and ratio of cell proportions were not associated with pancreatic cancer risk in the nested case–control study. Methylation extent of CpGs residing in or near gene MNDA was significantly associated with pancreatic cancer risk in the nested case–control study and replicated in PanGenEU. Methylation level of a promoter CpG of gene PIM-1 was associated with survival in both studies. Conclusions: Using a targeted approach, we identified several CpGs that may play a role in pancreatic carcinogenesis in two large, independent studies with distinct study designs. Impact: These findings could provide insight into critical pathways that may help identify new markers of early disease and survival.