Circulating microRNAs in association with pancreatic cancer risk within 5 years

Author:

Wang Cong1,Cai Hui1,Cai Qiuyin1,Wu Jie1,Stolzenberg‐Solomon Rachael2,Guo Xingyi1,Zhu Claire3,Gao Yu‐Tang4,Berlin Jordan5,Ye Fei6ORCID,Zheng Wei1,Setiawan Veronica Wendy7,Shu Xiao‐Ou1ORCID

Affiliation:

1. Division of Epidemiology, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

2. Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland USA

3. Division of Cancer Prevention National Cancer Institute Bethesda Maryland USA

4. Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital Shanghai Jiaotong University School of Medicine Shanghai China

5. Division of Hematology and Oncology, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

6. Department of Biostatistics Vanderbilt University Medical Center Nashville Tennessee USA

7. Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles California USA

Abstract

AbstractEarly detection is critical for improving pancreatic cancer prognosis. Our study aims to identify circulating microRNAs (miRNAs) associated with pancreatic cancer risk. The two‐stage study used plasma samples collected ≤5 years prior to cancer diagnosis, from case–control studies nested in five prospective cohort studies. The discovery stage included 185 case–control pairs from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Replication stage samples comprised 277 pairs from Shanghai Women's Health Study/Shanghai Men's Health Study, Southern Community Cohort Study, and Multiethnic Cohort Study. Seven hundred and ninety‐eight miRNAs were measured using the NanoString nCounter Analysis System. Odds ratios (OR) and 95% confidence intervals (CI) for per 10% change in miRNAs in association with pancreatic cancer risk were derived from conditional logistic regression analysis in discovery and replication studies, separately, and then meta‐analyzed. Stratified analysis was conducted by age at diagnosis (<65/≥65 years) and time interval between sample collection and diagnosis (≤2/>2 years). In the discovery stage, 120 risk associated miRNAs were identified at p < .05. Three were validated in the replication stage: hsa‐miR‐199a‐3p/hsa‐miR‐199b‐3p, hsa‐miR‐767‐5p, and hsa‐miR‐191‐5p, with respective ORs (95% CI) being 0.89 (0.84–0.95), 1.08 (1.02–1.13), and 0.90 (0.85–0.95). Five additional miRNAs, hsa‐miR‐640, hsa‐miR‐874‐5p, hsa‐miR‐1299, hsa‐miR‐22‐3p, and hsa‐miR‐449b‐5p, were validated among patients diagnosed at ≥65 years, with OR (95% CI) of 1.23 (1.09–1.39), 1.33 (1.16–1.52), 1.25 (1.09–1.43), 1.28 (1.12–1.46), 0.76 (0.65–0.89), and 1.22 (1.07–1.39), respectively. The miRNA targets were enriched in pancreatic carcinogenesis/progression‐related pathways. Our study suggests that circulating miRNAs may identify individuals at high risk for pancreatic cancer ≤5 years prior to diagnosis, indicating its potential utility in cancer screening and surveillance.

Funder

Foundation for the National Institutes of Health

Publisher

Wiley

Reference54 articles.

1. Cancer statistics, 2023

2. Pancreatic Cancer

3. Pancreatic Cancer—Cancer Stat Facts. Accessed August 22 2023.https://seer‐cancer‐gov.proxy.library.vanderbilt.edu/statfacts/html/pancreas.html

4. Management of pancreatic cancer in the elderly

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3