DNA Methylation–Derived Immune Cell Profiles, CpG Markers of Inflammation, and Pancreatic Cancer Risk

DNA甲基化 胰腺癌 CpG站点 套式病例对照研究 癌症 生物 甲基化 肿瘤科 癌变 免疫系统 免疫学 癌症研究 生物信息学 病例对照研究 医学 内科学 遗传学 基因 基因表达
作者
Dominique S. Michaud,Mengyuan Ruan,Devin C. Koestler,Lola Alonso,Esther Molina‐Montes,Dong Pei,Carmen J. Marsit,Immaculata De Vivo,Núria Malats,Karl T. Kelsey
出处
期刊:Cancer Epidemiology, Biomarkers & Prevention [American Association for Cancer Research]
卷期号:29 (8): 1577-1585 被引量:10
标识
DOI:10.1158/1055-9965.epi-20-0378
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
古月丰色完成签到 ,获得积分10
1秒前
大模型应助科研通管家采纳,获得10
2秒前
3秒前
zz完成签到,获得积分10
4秒前
gsj完成签到 ,获得积分10
4秒前
Wang应助ghost采纳,获得10
7秒前
Spine脊柱发布了新的文献求助10
7秒前
anan完成签到 ,获得积分10
11秒前
儒雅的雁山完成签到,获得积分10
12秒前
minino完成签到 ,获得积分10
14秒前
春待给Xulyun的求助进行了留言
15秒前
子墨tt发布了新的文献求助10
15秒前
xin发布了新的文献求助10
16秒前
18秒前
gsj发布了新的文献求助10
19秒前
xuxu完成签到,获得积分10
19秒前
19秒前
七七发布了新的文献求助10
24秒前
WangZK完成签到 ,获得积分10
24秒前
26秒前
zzzzz完成签到,获得积分10
26秒前
kai关闭了kai文献求助
29秒前
32秒前
34秒前
zzzzz发布了新的文献求助10
34秒前
iwaking完成签到,获得积分10
34秒前
34秒前
SciGPT应助gsj采纳,获得10
35秒前
突触连接发布了新的文献求助10
35秒前
36秒前
nanus完成签到,获得积分10
36秒前
grnn完成签到,获得积分10
42秒前
园游会完成签到,获得积分10
44秒前
46秒前
49秒前
p19960213发布了新的文献求助10
51秒前
ljforever发布了新的文献求助10
52秒前
53秒前
清秀黑夜发布了新的文献求助20
53秒前
高分求助中
Evolution 2001
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Black to Nature 1000
Decision Theory 1000
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
大平正芳: 「戦後保守」とは何か 550
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2992760
求助须知:如何正确求助?哪些是违规求助? 2652953
关于积分的说明 7174979
捐赠科研通 2288389
什么是DOI,文献DOI怎么找? 1212869
版权声明 592596
科研通“疑难数据库(出版商)”最低求助积分说明 592130