Utilizing polygenic risk score for breast cancer risk prediction in a Taiwanese population.

IF 2.4 3区 医学 Q3 ONCOLOGY
Cancer Epidemiology Pub Date : 2025-02-01 Epub Date: 2024-12-19 DOI:10.1016/j.canep.2024.102701
Yi-Hsuan Lin, Chih-Chiang Hung, Guan-Cheng Lin, I-Chen Tsai, Chih Yean Lum, Tzu-Hung Hsiao
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引用次数: 0

Abstract

Background: Breast cancer has been the most frequently diagnosed cancer among women in Taiwan since 2003. While genetic variants play a significant role in the elevated risk of breast cancer, their implications have been less explored within Asian populations. Variant-based polygenic risk scores (PRS) have emerged as valuable tools for assessing the likelihood of developing breast cancer. In light of this, we attempted to establish a predictive breast cancer PRS tailored specifically for the Taiwanese population.

Methods: The cohort analyzed in this study comprised 28,443 control subjects and 1501 breast cancer cases. These individuals were sourced from the Taiwan Precision Medicine Initiative (TPMI) array and the breast cancer registry lists at Taichung Veterans General Hospital (TCVGH). Utilizing the breast cancer-associated Polygenic Score (PGS) Catalog, we employed logistic regression to identify the most effective PRS for predicting breast cancer risk. Subsequently, we subjected the cohort of 1501 breast cancer patients to further analysis to investigate potential heterogeneity in breast cancer risk.

Results: The Polygenic Score ID PGS000508 demonstrated a significant association with breast cancer risk in Taiwanese women with a 1.498-fold increase in cancer risk(OR = 1.498, 95 % CI(1.431-1.567, p=5.38×10^-68). Individuals in the highest quartile exhibited a substantially elevated risk compared to those in the lowest quartile, with an odds ratio (OR) of 3.11 (95 % CI: 2.70-3.59; p=1.15×10^-55). In a cohort of 1501 breast cancer cases stratified by PRS distribution, women in the highest quartile were diagnosed at a significantly younger age (p=0.003) compared to those in the lowest quartile. However, no significant differences were observed between PRS quartiles in relation to clinical stage (p=0.274), pathological stage (p=0.647), or tumor subtype distribution (p=0.244).

Conclusion: In our study, we pinpointed PGS000508 as a significant predictive factor for breast cancer risk in Taiwanese women. Furthermore, we found that a higher PGS000508 score was associated with younger age at the time of first diagnosis among the breast cancer cases examined.

利用多基因风险评分预测台湾人群乳癌风险。
背景:自2003年以来,乳腺癌已成为台湾女性中最常见的癌症。虽然遗传变异在乳腺癌风险升高中起着重要作用,但在亚洲人群中对其影响的研究较少。基于变异的多基因风险评分(PRS)已成为评估患乳腺癌可能性的有价值的工具。鉴于此,我们试图建立一个专门为台湾人群量身定制的预测乳腺癌的PRS。方法:本研究的队列分析包括28443名对照组和1501例乳腺癌患者。这些个体来自台湾精准医疗计划(TPMI)阵列和台中退伍军人总医院(TCVGH)的乳腺癌登记名单。利用乳腺癌相关多基因评分(PGS)目录,我们采用逻辑回归来确定预测乳腺癌风险最有效的PRS。随后,我们对1501例乳腺癌患者的队列进行了进一步分析,以调查乳腺癌风险的潜在异质性。结果:多基因评分ID PGS000508显示与台湾女性乳腺癌风险显著相关,癌症风险增加1.498倍(OR = 1.498,95 % CI(1.431-1.567, p=5.38×10^-68)。与最低四分位数的个体相比,最高四分位数的个体表现出显著升高的风险,比值比(OR)为3.11(95 % CI: 2.70-3.59;p = 1.15×10 ^ -55)。在按PRS分布分层的1501例乳腺癌患者队列中,与最低四分位数的女性相比,最高四分位数的女性确诊年龄明显更年轻(p=0.003)。然而,PRS四分位数与临床分期(p=0.274)、病理分期(p=0.647)或肿瘤亚型分布(p=0.244)之间无显著差异。结论:在我们的研究中,我们确定PGS000508是台湾女性乳腺癌风险的重要预测因素。此外,我们发现,在检查的乳腺癌病例中,PGS000508评分越高,首次诊断时年龄越小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Epidemiology
Cancer Epidemiology 医学-肿瘤学
CiteScore
4.50
自引率
3.80%
发文量
200
审稿时长
39 days
期刊介绍: Cancer Epidemiology is dedicated to increasing understanding about cancer causes, prevention and control. The scope of the journal embraces all aspects of cancer epidemiology including: • Descriptive epidemiology • Studies of risk factors for disease initiation, development and prognosis • Screening and early detection • Prevention and control • Methodological issues The journal publishes original research articles (full length and short reports), systematic reviews and meta-analyses, editorials, commentaries and letters to the editor commenting on previously published research.
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