Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, Massachusetts.
Department of Epidemiology, Brown University, Providence, Rhode Island.
Cancer Epidemiol Biomarkers Prev. 2020 Aug;29(8):1577-1585. doi: 10.1158/1055-9965.EPI-20-0378. Epub 2020 May 19.
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.
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.
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 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 was associated with survival in both studies.
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.
These findings could provide insight into critical pathways that may help identify new markers of early disease and survival.
预计在未来 5 年内,胰腺癌将成为癌症相关死亡的第二大主要原因。由于炎症被认为是疾病发生的常见轨迹,我们试图使用 DNA 甲基化标志物前瞻性地描述免疫特征,并检查与炎症生物标志物相关的先前已确定的 DNA 甲基化水平,以评估这些免疫标志物是否在胰腺癌中发挥关键作用。
在一项嵌套病例对照研究中,我们汇集了三项美国前瞻性队列研究的数据,使用 Illumina MethylationEPIC 芯片测量了发病前胰腺癌病例和匹配对照者的白细胞中的 DNA 甲基化。差异甲基化区域被用来预测免疫细胞类型,选择了先前与炎症生物标志物相关的 CpG 进行分析。西班牙进行的回顾性病例对照研究(PanGenEU)中的 DNA 甲基化数据用于独立复制。
在嵌套病例对照研究中,免疫细胞比例和细胞比例比值与胰腺癌风险无关。位于基因内或附近的 CpG 的甲基化程度与嵌套病例对照研究中的胰腺癌风险显著相关,并在 PanGenEU 中得到了复制。基因的启动子 CpG 的甲基化水平与两个研究中的生存相关。
使用靶向方法,我们在两个具有不同研究设计的大型独立研究中发现了几个可能在胰腺癌发生中起作用的 CpG。
这些发现可以为关键途径提供深入了解,可能有助于确定早期疾病和生存的新标志物。