PO.PS01.03 · 人群科学
多族裔人群中胰腺癌风险的前瞻性全表观基因组关联研究
Prospective epigenome-wide association study of pancreatic cancer risk in a multiethnic population
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:胰腺导管腺癌(PDAC)是一种高度致死性癌症,其在美国不同人群中的发病率存在已知差异。全表观基因组关联研究(EWAS)已识别出PDAC风险的DNA甲基化标志物,但这些研究大多在欧洲祖源人群中开展,样本量较小且使用诊断后样本。在多样化人群中开展前瞻性EWAS可能揭示新的生物标志物,并深入了解PDAC生物学中的种族/族裔差异。
方法:采用巢式病例对照设计,我们在多族裔队列(Multiethnic Cohort,一个由居住在洛杉矶和夏威夷的非裔美国人、日裔美国人、拉丁裔、夏威夷原住民和白人组成的大型前瞻性队列)中开展了PDAC风险的EWAS。将新发PDAC病例(N=689)与对照(N=806)按年龄、性别、种族/族裔、采血年份和研究地点进行匹配。使用Illumina EPICv2芯片(>930,000个CpG位点)在诊断前血液中测量DNA甲基化。使用条件逻辑回归评估每个CpG位点的DNA甲基化与PDAC风险之间的关联,并校正匹配因素、糖尿病、PDAC家族史、吸烟、BMI以及DNA甲基化预测的淋巴细胞类型比例。进一步开展了差异甲基化区域(DMR)和通路分析。将最显著的结果在一项先前的PDAC EWAS中进行检验,该研究来自护士健康研究(Nurses' Health Study)、医生健康研究(Physicians' Health Study)和卫生专业人员随访研究(Health Professionals Follow-up Study)(N=393例病例/431例对照)。
结果:我们识别出105个与PDAC风险显著相关的CpG位点(p<9×10⁻⁸)。顶级CpG位点被注释到与肿瘤抑制、代谢和炎症相关的基因(例如TRAK1、INPP5A、ACOX3、WBP1L、RASSF8-AS1)。大多数顶级CpG位点显示DNA甲基化水平与PDAC风险之间呈正相关(甲基化beta值每增加0.01的比值比[OR]为1.03-2.33)。在ZNF713中的一个位点观察到种族/族裔间的异质性,该位点仅在夏威夷原住民中与PDAC相关(OR 1.65,95% CI 1.52-1.80;异质性p<6.6×10⁻²⁵)。DMR分析揭示了738个与PDAC相关的区域(FDR校正p<0.05),顶级区域被注释到与遗传调控和癌症进展相关的基因(例如PRMT7、NDUFC1、NAA15、TFDP1)。KEGG和GO通路分析分别识别出18条和388条显著富集的通路(p<0.05);顶级通路为DNA复制和催化复合物。在验证分析中,105个位点无一达到显著性(p<0.01),但有26个显示出一致的关联方向。
结论:在这一多族裔人群中,与癌症、炎症和代谢相关基因的差异甲基化与PDAC风险相关。有必要开展进一步研究,整合更大的发现和验证数据,以阐明各人群的潜在机制。
查看英文原文 English abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer, with known differences in incidence across populations in the US. Epigenome-wide association studies (EWAS) have identified DNA methylation markers of PDAC risk, but have been mostly performed in European ancestry populations with small sample sizes and post-diagnostic samples. Prospective EWAS in diverse populations may reveal novel biomarkers and provide insights into racial/ethnic differences in PDAC biology.
Methods: Using a nested case-control design, we conducted an EWAS of PDAC risk in the Multiethnic Cohort, a large prospective cohort of African American, Japanese American, Latino, Native Hawaiian, and White residents of Los Angeles and Hawaii. Incident PDAC cases (N=689) were matched to controls (N=806) on age, sex, race/ethnicity, year of blood draw, and study site. DNA methylation was measured in pre-diagnostic blood using the Illumina EPICv2 array (>930,000 CpG sites). Associations between DNA methylation at each CpG site and PDAC risk was assessed using conditional logistic regression, adjusting for matching factors, diabetes, family history of PDAC, smoking, BMI, and DNA methylation-predicted lymphocyte cell type proportions. Differentially methylated region (DMR) and pathway analyses were further conducted. The most significant results were examined in a prior EWAS of PDAC in the Nurses' Health Study, Physicians' Health Study and Health Professionals Follow-up Study (N=393 cases/431 controls).
Results: We identified 105 CpG sites significantly associated with PDAC risk (p<9×10⁻⁸). The top CpG sites were annotated to genes related to tumor suppression, metabolism, and inflammation (e.g., TRAK1 , INPP5A , ACOX3 , WBP1L , RASSF8-AS1) . Most of the top CpG sites exhibited a positive association between DNA methylation levels and PDAC risk (odds ratios [OR] per 0.01 increase in methylation beta value 1.03-2.33). Heterogeneity across race/ethnicity was observed for one site in ZNF713 , which was associated with PDAC in Native Hawaiians only (OR 1.65, 95% CI 1.52-1.80; p-heterogeneity<6.6x10 -25 ). DMR analysis revealed 738 regions associated with PDAC (FDR-adjusted p<0.05), with the top regions annotated to genes related to genetic regulation and cancer progression (e.g. PRMT7 , NDUFC1 , NAA15 , TFDP1). KEGG and GO pathway analyses identified 18 and 388 significantly enriched pathways, respectively (p < 0.05); the top pathways were DNA replication and catalytic complex. In the validation analyses, none of the 105 sites reached significance (p<0.01), but 26 showed the consistent direction of association.
Conclusions: In this multiethnic population, differential methylation in genes related to cancer, inflammation, and metabolism were associated with PDAC risk. Further studies integrating larger discovery and validation data are warranted to elucidate underlying mechanisms across populations.
利益披露 Disclosure
X. Zhang, None..
S. Han, None..
B. Quon, None..
A. Paik, None..
V. W. Setiawan, None..
D. V. Conti, None..
K. D. Siegmund, None..
H. J. Lenz, None..
L. W. Loo, None..
L. Le Marchand, None..
L. R. Wilkens, None..
C. A. Haimen, None..
A. M. Binder, None..
S. L. Park, None..
B. Huang, None.