Literature DB >> 26150446

Bias Correction Methods Explain Much of the Variation Seen in Breast Cancer Risks of BRCA1/2 Mutation Carriers.

Janet R Vos1, Li Hsu2, Richard M Brohet2, Marian J E Mourits2, Jakob de Vries2, Kathleen E Malone2, Jan C Oosterwijk2, Geertruida H de Bock2.   

Abstract

PURPOSE: Recommendations for treating patients who carry a BRCA1/2 gene are mainly based on cumulative lifetime risks (CLTRs) of breast cancer determined from retrospective cohorts. These risks vary widely (27% to 88%), and it is important to understand why. We analyzed the effects of methods of risk estimation and bias correction and of population factors on CLTRs in this retrospective clinical cohort of BRCA1/2 carriers. PATIENTS AND METHODS: The following methods to estimate the breast cancer risk of BRCA1/2 carriers were identified from the literature: Kaplan-Meier, frailty, and modified segregation analyses with bias correction consisting of including or excluding index patients combined with including or excluding first-degree relatives (FDRs) or different conditional likelihoods. These were applied to clinical data of BRCA1/2 families derived from our family cancer clinic for whom a simulation was also performed to evaluate the methods. CLTRs and 95% CIs were estimated and compared with the reference CLTRs.
RESULTS: CLTRs ranged from 35% to 83% for BRCA1 and 41% to 86% for BRCA2 carriers at age 70 years width of 95% CIs: 10% to 35% and 13% to 46%, respectively). Relative bias varied from -38% to +16%. Bias correction with inclusion of index patients and untested FDRs gave the smallest bias: +2% (SD, 2%) in BRCA1 and +0.9% (SD, 3.6%) in BRCA2.
CONCLUSION: Much of the variation in breast cancer CLTRs in retrospective clinical BRCA1/2 cohorts is due to the bias-correction method, whereas a smaller part is due to population differences. Kaplan-Meier analyses with bias correction that includes index patients and a proportion of untested FDRs provide suitable CLTRs for carriers counseled in the clinic.
© 2015 by American Society of Clinical Oncology.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26150446      PMCID: PMC4979233          DOI: 10.1200/JCO.2014.59.0463

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  58 in total

1.  Estimating risk of breast cancer in carriers of BRCA1 and BRCA2 mutations: a meta-analytic approach.

Authors:  Rongwei Fu; Emily L Harris; Mark Helfand; Heidi D Nelson
Journal:  Stat Med       Date:  2007-04-15       Impact factor: 2.373

2.  Younger birth cohort correlates with higher breast and ovarian cancer risk in European BRCA1 mutation carriers.

Authors:  Regina Kroiss; Verena Winkler; Diana Bikas; Elisabeth Fleischmann; Claudia Mainau; Florian Frommlet; Daniela Muhr; Christine Fuerhauser; Maria Tea; Barbara Bittner; Ernst Kubista; Peter J Oefner; Peter Bauer; Teresa M U Wagner
Journal:  Hum Mutat       Date:  2005-12       Impact factor: 4.878

3.  Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE.

Authors:  Nasim Mavaddat; Susan Peock; Debra Frost; Steve Ellis; Radka Platte; Elena Fineberg; D Gareth Evans; Louise Izatt; Rosalind A Eeles; Julian Adlard; Rosemarie Davidson; Diana Eccles; Trevor Cole; Jackie Cook; Carole Brewer; Marc Tischkowitz; Fiona Douglas; Shirley Hodgson; Lisa Walker; Mary E Porteous; Patrick J Morrison; Lucy E Side; M John Kennedy; Catherine Houghton; Alan Donaldson; Mark T Rogers; Huw Dorkins; Zosia Miedzybrodzka; Helen Gregory; Jacqueline Eason; Julian Barwell; Emma McCann; Alex Murray; Antonis C Antoniou; Douglas F Easton
Journal:  J Natl Cancer Inst       Date:  2013-04-29       Impact factor: 13.506

4.  Penetrance of breast cancer, ovarian cancer and contralateral breast cancer in BRCA1 and BRCA2 families: high cancer incidence at older age.

Authors:  Dorina M van der Kolk; Geertruida H de Bock; Beike K Leegte; Michael Schaapveld; Marian J E Mourits; Jakob de Vries; Annemieke H van der Hout; Jan C Oosterwijk
Journal:  Breast Cancer Res Treat       Date:  2010-03-04       Impact factor: 4.872

5.  Average age-specific cumulative risk of breast cancer according to type and site of germline mutations in BRCA1 and BRCA2 estimated from multiple-case breast cancer families attending Australian family cancer clinics.

Authors:  Clare L Scott; Mark A Jenkins; Melissa C Southey; Tracey A Davis; Jennifer A Leary; Douglas F Easton; Kelly-Anne Phillips; John L Hopper
Journal:  Hum Genet       Date:  2003-02-25       Impact factor: 4.132

6.  A frailty-model-based approach to estimating the age-dependent penetrance function of candidate genes using population-based case-control study designs: an application to data on the BRCA1 gene.

Authors:  Lu Chen; Li Hsu; Kathleen Malone
Journal:  Biometrics       Date:  2009-12       Impact factor: 2.571

7.  Variation in mutation spectrum partly explains regional differences in the breast cancer risk of female BRCA mutation carriers in the Netherlands.

Authors:  Janet R Vos; Natalia Teixeira; Dorina M van der Kolk; Marian J E Mourits; Matti A Rookus; Flora E van Leeuwen; Margriet Collée; Christi J van Asperen; Arjen R Mensenkamp; Margreet G E M Ausems; Theo A M van Os; Hanne E J Meijers-Heijboer; Encarna B Gómez-Garcia; Hans F Vasen; Richard M Brohet; Annemarie H van der Hout; Liesbeth Jansen; Jan C Oosterwijk; Geertruida H de Bock
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-08-07       Impact factor: 4.254

8.  A specific GFP expression assay, penetrance estimate, and histological assessment for a putative splice site mutation in BRCA1.

Authors:  M C Southey; A Tesoriero; M A Young; A J Holloway; M A Jenkins; J Whitty; S Misfud; S A McLachlan; D J Venter; J E Armes
Journal:  Hum Mutat       Date:  2003-07       Impact factor: 4.878

9.  Breast and ovarian cancer incidence in BRCA1-mutation carriers. Breast Cancer Linkage Consortium.

Authors:  D F Easton; D Ford; D T Bishop
Journal:  Am J Hum Genet       Date:  1995-01       Impact factor: 11.025

10.  Penetrance estimates for BRCA1 and BRCA2 based on genetic testing in a Clinical Cancer Genetics service setting: risks of breast/ovarian cancer quoted should reflect the cancer burden in the family.

Authors:  D Gareth Evans; Andrew Shenton; Emma Woodward; Fiona Lalloo; Anthony Howell; Eamonn R Maher
Journal:  BMC Cancer       Date:  2008-05-30       Impact factor: 4.430

View more
  7 in total

1.  No evidence of increased breast cancer risk for proven noncarriers from BRCA1 and BRCA2 families.

Authors:  Henriette Roed Nielsen; Janne Petersen; Lotte Krogh; Mef Nilbert; Anne-Bine Skytte
Journal:  Fam Cancer       Date:  2016-10       Impact factor: 2.375

2.  The association between cancer family history and ovarian cancer risk in BRCA1/2 mutation carriers: can it be explained by the mutation position?

Authors:  Natalia Teixeira; Annemieke van der Hout; Jan C Oosterwijk; Janet R Vos; Peter Devilee; Klaartje van Engelen; Hanne Meijers-Heijboer; Rob B van der Luijt; Mieke Kriege; Arjen R Mensenkamp; Matti A Rookus; Kees E van Roozendaal; Marian J E Mourits; Geertruida H de Bock
Journal:  Eur J Hum Genet       Date:  2018-02-26       Impact factor: 4.246

3.  A Pragmatic Testing-Eligibility Framework for Population Mutation Screening: The Example of BRCA1/2.

Authors:  Ana F Best; Margaret A Tucker; Megan N Frone; Mark H Greene; June A Peters; Hormuzd A Katki
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-01-28       Impact factor: 4.254

4.  BRCA1/BRCA2 founder mutations and cancer risks: impact in the western Danish population.

Authors:  Henriette Roed Nielsen; Mef Nilbert; Janne Petersen; Steen Ladelund; Mads Thomassen; Inge Søkilde Pedersen; Thomas V O Hansen; Anne-Bine Skytte; Åke Borg; Christina Therkildsen
Journal:  Fam Cancer       Date:  2016-10       Impact factor: 2.375

5.  Comprehensive analysis of ubiquitin-proteasome system genes related to prognosis and immunosuppression in head and neck squamous cell carcinoma.

Authors:  Juncheng Wang; Jianing Li; Luan Zhang; Yuexiang Qin; Fengyu Zhang; Rulong Hu; Huihong Chen; Yongquan Tian; Zhifeng Liu; Yuxi Tian; Xin Zhang
Journal:  Aging (Albany NY)       Date:  2021-08-16       Impact factor: 5.682

6.  Detection and Yield of Colorectal Cancer Surveillance in Adults with PTEN Hamartoma Tumour Syndrome.

Authors:  Meggie M C M Drissen; Janet R Vos; Dorien T J van der Biessen-van Beek; Rachel S van der Post; Iris D Nagtegaal; Mariëtte C A van Kouwen; Tanya M Bisseling; Nicoline Hoogerbrugge
Journal:  Cancers (Basel)       Date:  2022-08-19       Impact factor: 6.575

Review 7.  A review on age-related cancer risks in PTEN hamartoma tumor syndrome.

Authors:  Linda A J Hendricks; Nicoline Hoogerbrugge; Janneke H M Schuurs-Hoeijmakers; Janet R Vos
Journal:  Clin Genet       Date:  2020-11-16       Impact factor: 4.438

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.