多基因风险评分和错配修复基因联合模型在结直肠癌挪威队列中的评价。

IF 2 4区 医学 Q3 ONCOLOGY
Tumori Pub Date : 2024-12-09 DOI:10.1177/03008916241303648
Bayram C Akdeniz, Andrew H Morris, Pål Møller, Ole Andreassen, Eivind Hovig, Mev Dominguez-Valentin
{"title":"多基因风险评分和错配修复基因联合模型在结直肠癌挪威队列中的评价。","authors":"Bayram C Akdeniz, Andrew H Morris, Pål Møller, Ole Andreassen, Eivind Hovig, Mev Dominguez-Valentin","doi":"10.1177/03008916241303648","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Recent studies have shown that combining polygenic risk score (PRS) and carrier status for germline pathogenic variants in colorectal cancer (CRC) susceptibility genes (e.g. <i>MLH1, MSH2, MSH6, PMS2</i>) may increase the success of predicting CRC. This study aims to examine the prediction performance of CRC in Norwegian data using the status of pathogenic variants in the mismatch repair (MMR) genes with the available PRS models in the literature.</p><p><strong>Methods: </strong>Our Norwegian cohort included 805 CRC cases, 86 of which carried a pathogenic variant in one of the MMR genes. As a control group, we included 8856 individuals without a cancer diagnosis, of which 179 were carriers for a pathogenic MMR variant. We first conducted a broad experiment to determine the best-performing PRS model for the Norwegian cohort. Afterwards, we established a combined analysis with the PRS model and the status of MMR genes.</p><p><strong>Results: </strong>Among 10 PRS models tested, the best-performing PRS model for the Norwegian cohort included 204 single nucleotide polymorphisms (SNPs) (AUC=0.604). We also observed that the combined model of PRS and the status of MMR significantly improved the prediction performance.</p><p><strong>Conclusion: </strong>The findings suggest that a combined model of a PRS and the status of MMR genes improves the prediction performance of CRC in Norwegian data.</p>","PeriodicalId":23349,"journal":{"name":"Tumori","volume":" ","pages":"3008916241303648"},"PeriodicalIF":2.0000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of a combined model of Polygenic Risk Score and mismatch repair genes in the association of colorectal cancer for Norwegian cohort.\",\"authors\":\"Bayram C Akdeniz, Andrew H Morris, Pål Møller, Ole Andreassen, Eivind Hovig, Mev Dominguez-Valentin\",\"doi\":\"10.1177/03008916241303648\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Recent studies have shown that combining polygenic risk score (PRS) and carrier status for germline pathogenic variants in colorectal cancer (CRC) susceptibility genes (e.g. <i>MLH1, MSH2, MSH6, PMS2</i>) may increase the success of predicting CRC. This study aims to examine the prediction performance of CRC in Norwegian data using the status of pathogenic variants in the mismatch repair (MMR) genes with the available PRS models in the literature.</p><p><strong>Methods: </strong>Our Norwegian cohort included 805 CRC cases, 86 of which carried a pathogenic variant in one of the MMR genes. As a control group, we included 8856 individuals without a cancer diagnosis, of which 179 were carriers for a pathogenic MMR variant. We first conducted a broad experiment to determine the best-performing PRS model for the Norwegian cohort. Afterwards, we established a combined analysis with the PRS model and the status of MMR genes.</p><p><strong>Results: </strong>Among 10 PRS models tested, the best-performing PRS model for the Norwegian cohort included 204 single nucleotide polymorphisms (SNPs) (AUC=0.604). We also observed that the combined model of PRS and the status of MMR significantly improved the prediction performance.</p><p><strong>Conclusion: </strong>The findings suggest that a combined model of a PRS and the status of MMR genes improves the prediction performance of CRC in Norwegian data.</p>\",\"PeriodicalId\":23349,\"journal\":{\"name\":\"Tumori\",\"volume\":\" \",\"pages\":\"3008916241303648\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tumori\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/03008916241303648\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tumori","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/03008916241303648","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景与目的:近期研究表明,将多基因风险评分(PRS)与结直肠癌(CRC)易感基因(如MLH1、MSH2、MSH6、PMS2)种系致病变异的携带状态相结合,可能会提高结直肠癌的预测成功率。本研究旨在利用文献中可用的PRS模型,利用错配修复(MMR)基因中致病变异的状态,检验挪威数据中CRC的预测性能。方法:我们的挪威队列包括805例CRC病例,其中86例携带一种MMR基因的致病性变异。作为对照组,我们纳入了8856名没有癌症诊断的个体,其中179名是致病性MMR变异的携带者。我们首先进行了广泛的实验,以确定挪威队列中表现最佳的PRS模型。随后,我们建立了PRS模型和MMR基因状态的联合分析。结果:在测试的10个PRS模型中,挪威队列中表现最好的PRS模型包括204个单核苷酸多态性(snp) (AUC=0.604)。我们还观察到,PRS和MMR状态的组合模型显著提高了预测性能。结论:研究结果表明,在挪威数据中,PRS和MMR基因状态的联合模型提高了CRC的预测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of a combined model of Polygenic Risk Score and mismatch repair genes in the association of colorectal cancer for Norwegian cohort.

Background and aims: Recent studies have shown that combining polygenic risk score (PRS) and carrier status for germline pathogenic variants in colorectal cancer (CRC) susceptibility genes (e.g. MLH1, MSH2, MSH6, PMS2) may increase the success of predicting CRC. This study aims to examine the prediction performance of CRC in Norwegian data using the status of pathogenic variants in the mismatch repair (MMR) genes with the available PRS models in the literature.

Methods: Our Norwegian cohort included 805 CRC cases, 86 of which carried a pathogenic variant in one of the MMR genes. As a control group, we included 8856 individuals without a cancer diagnosis, of which 179 were carriers for a pathogenic MMR variant. We first conducted a broad experiment to determine the best-performing PRS model for the Norwegian cohort. Afterwards, we established a combined analysis with the PRS model and the status of MMR genes.

Results: Among 10 PRS models tested, the best-performing PRS model for the Norwegian cohort included 204 single nucleotide polymorphisms (SNPs) (AUC=0.604). We also observed that the combined model of PRS and the status of MMR significantly improved the prediction performance.

Conclusion: The findings suggest that a combined model of a PRS and the status of MMR genes improves the prediction performance of CRC in Norwegian data.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Tumori
Tumori 医学-肿瘤学
CiteScore
3.50
自引率
0.00%
发文量
58
审稿时长
6 months
期刊介绍: Tumori Journal covers all aspects of cancer science and clinical practice with a strong focus on prevention, translational medicine and clinically relevant reports. We invite the publication of randomized trials and reports on large, consecutive patient series that investigate the real impact of new techniques, drugs and devices inday-to-day clinical practice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信