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携带PALB2致病变异个体患乳腺癌风险的荟萃分析。

Meta-Analysis of Breast Cancer Risk for Individuals with PALB2 Pathogenic Variants.

作者信息

Ruberu Thanthirige Lakshika M, Braun Danielle, Parmigiani Giovanni, Biswas Swati

机构信息

Department of Mathematical Sciences, University of Texas at Dallas.

Department of Biostatistics, Harvard T.H. Chan School of Public Health.

出版信息

medRxiv. 2024 Mar 4:2023.05.31.23290791. doi: 10.1101/2023.05.31.23290791.

Abstract

BACKGROUND

Pathogenic variants in cancer susceptibility genes can now be tested efficiently and economically with the wide availability of multi-gene panel testing. This has resulted in an unprecedented rate of identifying individuals carrying pathogenic variants. These carriers need to be counselled about their future cancer risk conferred by the specific gene mutation. An important cancer susceptibility gene is PALB2. Several studies reported risk estimates for breast cancer (BC) associated with pathogenic variants in PALB2. Because of the variety of modalities (age specific risk, odds ratio, relative risk, and standardized incidence ratio) and effect sizes of these risk estimates, a meta-analysis of all of these estimates of BC risk is necessary to provide accurate counseling of patients with pathogenic variants in PALB2. The challenge, though, in combining these estimates is the heterogeneity of studies in terms of study design and risk measure.

METHODS

We utilized a recently proposed novel Bayesian random-effects meta-analysis method that can synthesize and combine information from such heterogeneous studies. We applied this method to combine estimates from twelve different studies on BC risk for carriers of pathogenic PALB2 mutations, out of which two report age-specific penetrance, one reports relative risk, and nine report odds ratios.

RESULTS

The estimated overall (meta-analysis based) risk of BC is 12.80% by age 50 (6.11% 22.59%) and 48.47% by age 80 (36.05%-61.74%).

CONCLUSION

Pathogenic mutations in PALB2 makes women more susceptible to BC. Our risk estimates can help clinically manage patients carrying pathogenic variants in PALB2.

摘要

背景

随着多基因检测面板的广泛应用,现在可以高效且经济地检测癌症易感基因中的致病变异。这使得识别携带致病变异个体的速度达到了前所未有的水平。需要就这些携带者因特定基因突变而面临的未来癌症风险向他们提供咨询。一个重要的癌症易感基因是PALB2。多项研究报告了与PALB2致病变异相关的乳腺癌(BC)风险估计值。由于这些风险估计值的方式多种多样(年龄特异性风险、优势比、相对风险和标准化发病率比)以及效应大小不同,有必要对所有这些乳腺癌风险估计值进行荟萃分析,以便为携带PALB2致病变异的患者提供准确的咨询。然而,在合并这些估计值时面临的挑战是研究在研究设计和风险测量方面的异质性。

方法

我们采用了一种最近提出的新颖的贝叶斯随机效应荟萃分析方法,该方法可以综合和合并来自此类异质性研究的信息。我们应用此方法合并了来自12项关于PALB2致病突变携带者乳腺癌风险的不同研究的估计值,其中两项报告了年龄特异性外显率,一项报告了相对风险,九项报告了优势比。

结果

基于荟萃分析估计,50岁时患乳腺癌的总体风险为12.80%(6.11% - 22.59%),80岁时为48.47%(36.05% - 61.74%)。

结论

PALB2致病突变使女性更易患乳腺癌。我们的风险估计值有助于临床管理携带PALB2致病变异的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9cf/10913997/feb47ad72ba1/nihpp-2023.05.31.23290791v2-f0001.jpg

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