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基于英国生物银行的数据,对英国结直肠癌风险因素及筛查优先区域的空间洞察。

Spatial insights into colorectal cancer risk factors and priority areas for screening in the United Kingdom based on data from the UK Biobank.

作者信息

Yang Mei, Narasimhan Vagheesh M, Zhan Franklin Benjamin

机构信息

Department of Health Informatics & Information Management, Texas State University, Round Rock, Texas, United States of America.

Department of Geography and Environmental Studies, Texas State University, San Marcos, Texas, United States of America.

出版信息

PLoS One. 2025 Jul 23;20(7):e0328778. doi: 10.1371/journal.pone.0328778. eCollection 2025.

Abstract

Geography and geospatial data science hold the potential to make unique contributions to the reduction of the burden of cancer on society. Here we use colorectal cancer (CRC) as an example to show how spatial insights into CRC risk factors and priority areas for screening may be obtained to achieve geographically targeted screening. We obtained data from the UK Biobank and divided the participants into the older (50<=age < 70) and young (age < 50) adult groups. The data consists of 2,080 CRC cases and 8,062 controls. We used a case-control study and geographically weighted logistic regression (GWLR) to explore spatial variations in risk levels of significant factors at a fine geographic resolution. Analysis results reveal that, among all significant risk factors, polygenic risk score (PRS) is the most important risk factor for both age groups. Findings suggest that the top priority screening areas for older adults, using PRS as the sole risk factor, are between Sheffield, Birmingham, Cardiff, Bristol, and west of Greater London. For young adults, the top priority areas are between the south of Glasgow and Edinburgh and northwest of Greater London. Furthermore, the approach used in this study holds promise for developing more effective targeted cancer screening.

摘要

地理和地理空间数据科学有潜力为减轻癌症对社会的负担做出独特贡献。在此,我们以结直肠癌(CRC)为例,展示如何获取对CRC风险因素和筛查优先区域的空间洞察,以实现地理靶向筛查。我们从英国生物银行获取数据,并将参与者分为老年(50≤年龄<70岁)和年轻(年龄<50岁)成年组。数据包括2080例CRC病例和8062例对照。我们采用病例对照研究和地理加权逻辑回归(GWLR),以精细的地理分辨率探究显著因素风险水平的空间变化。分析结果显示,在所有显著风险因素中,多基因风险评分(PRS)是两个年龄组中最重要的风险因素。研究结果表明,以PRS作为唯一风险因素时,老年人的首要筛查区域位于谢菲尔德、伯明翰、加的夫、布里斯托尔和大伦敦西部之间。对于年轻人而言,首要区域位于格拉斯哥南部和爱丁堡之间以及大伦敦西北部。此外,本研究中使用的方法有望用于开展更有效的靶向癌症筛查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d20/12286335/e119595cefbc/pone.0328778.g001.jpg

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