Meta-Analysis of Breast Cancer Risk for Individuals with PALB2 Pathogenic Variants
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
medRxiv : the preprint server for health sciences - (2024) vom: 04. März |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ruberu, Thanthirige Lakshika M [VerfasserIn] |
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| Links: |
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| Themen: |
Bayesian model |
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| Anmerkungen: |
Date Revised 11.03.2024 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1101/2023.05.31.23290791 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM358996260 |
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| 100 | 1 | |a Ruberu, Thanthirige Lakshika M |e verfasserin |4 aut | |
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| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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%) | ||
| 520 | |a Conclusion: Pathogenic mutations in PALB2 makes women more susceptible to BC. Our risk estimates can help clinically manage patients carrying pathogenic variants in PALB2 | ||
| 650 | 4 | |a Preprint | |
| 650 | 4 | |a Bayesian model | |
| 650 | 4 | |a Odds ratio | |
| 650 | 4 | |a Pathogenic variants | |
| 650 | 4 | |a Penetrance | |
| 650 | 4 | |a Relative risk | |
| 700 | 1 | |a Braun, Danielle |e verfasserin |4 aut | |
| 700 | 1 | |a Parmigiani, Giovanni |e verfasserin |4 aut | |
| 700 | 1 | |a Biswas, Swati |e verfasserin |4 aut | |
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