Michaud Dominique S, Ruan Mengyuan, Koestler Devin C, Pei Dong, Marsit Carmen J, De Vivo Immaculata, Kelsey Karl T
Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA.
Department of Epidemiology, Brown University, Providence, RI, USA.
JNCI Cancer Spectr. 2020 May 19;4(5):pkaa041. doi: 10.1093/jncics/pkaa041. eCollection 2020 Oct.
Epigenome-wide association studies using peripheral blood have identified specific sites of DNA methylation associated with risk of various cancers and may hold promise to identify novel biomarkers of risk; however, few studies have been performed for pancreatic cancer and none using a prospective study design.
Using a nested case-control study design, incident pancreatic cancer cases and matched controls were identified from participants who provided blood at baseline in 3 prospective cohort studies. DNA methylation levels were measured in DNA extracted from leukocytes using the Illumina MethylationEPIC array. Average follow-up period for this analysis was 13 years.
Several new genomic regions were identified as being differentially methylated in cases and controls; the 5 strongest associations were observed for CpGs located in genes , , , , and . For some CpGs located in chromosome 16p13.3 (near genes and ), associations were stronger with shorter time to diagnosis (eg, odds ratio [OR] = 5.95, 95% confidence interval [CI] = 1.52 to 23.12, for top vs bottom quartile, for <5 years between blood draw and cancer diagnosis), but associations remained statistically significantly higher even when cases were diagnosed over 10 years after blood collection. Statistically significant differences in DNA methylation levels were also observed in the gastric secretion pathway using Gene Set Enrichment Analysis (GSEA) analysis.
Changes in DNA methylation in peripheral blood may mark alterations in metabolic or immune pathways that play a role in pancreatic cancer. Identifying new biological pathways in carcinogenesis of pancreatic cancer using epigenome-wide association studies approach could provide new opportunities for improving treatment and prevention.
利用外周血进行的全表观基因组关联研究已经确定了与各种癌症风险相关的特定DNA甲基化位点,有望识别出新的风险生物标志物;然而,针对胰腺癌的此类研究较少,且尚无采用前瞻性研究设计的。
采用巢式病例对照研究设计,从3项前瞻性队列研究中基线时提供血液样本的参与者中确定胰腺癌发病病例和匹配的对照。使用Illumina MethylationEPIC芯片测定从白细胞中提取的DNA的甲基化水平。该分析的平均随访期为13年。
在病例组和对照组中确定了几个新的基因组区域存在差异甲基化;位于基因 、 、 、 和 中的CpG位点呈现出5个最强的关联。对于位于16号染色体p13.3(靠近基因 和 )上的一些CpG位点,与诊断时间较短的关联更强(例如,对于血液采集和癌症诊断间隔<5年的情况,最高四分位数与最低四分位数相比,优势比[OR]=5.95,95%置信区间[CI]=1.52至23.12),但即使病例在采血10年以上才被诊断,关联仍具有统计学显著更高水平。使用基因集富集分析(GSEA)分析还观察到胃分泌途径中DNA甲基化水平存在统计学显著差异。
外周血DNA甲基化的变化可能标志着在胰腺癌中起作用的代谢或免疫途径的改变。利用全表观基因组关联研究方法识别胰腺癌致癌过程中的新生物途径可为改善治疗和预防提供新机会。