Literature DB >> 14984482

Risk modeling in breast cancer.

David Euhus1.   

Abstract

Women with BRCA-1 or BRCA-2 mutations have a significantly increased risk for breast cancer. While genetic testing can provide valuable information concerning this increased risk and the proposed benefit of risk-reducing interventions, the absolute breast cancer risk conferred by BRCA-1 and BRCA-2 mutations remains to be fully determined. The American Society of Clinical Oncology (ASCO) guidelines indicate that testing should be considered in women whose mutation probability is greater than 10%. None of the currently available approaches for determining BRCA gene mutation probability are 100% accurate. The computer program BRCAPRO is a useful adjunct for estimating these probabilities, but limitations inherent in mathematical models make it essential that genetic counselors are involved in decisions to perform genetic testing.

Entities:  

Mesh:

Year:  2004        PMID: 14984482     DOI: 10.1111/j.1524-4741.2004.101s4.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  4 in total

1.  Discriminatory accuracy and potential clinical utility of genomic profiling for breast cancer risk in BRCA-negative women.

Authors:  E Comen; L Balistreri; M Gönen; A Dutra-Clarke; M Fazio; J Vijai; Z Stadler; N Kauff; T Kirchhoff; C Hudis; K Offit; M Robson
Journal:  Breast Cancer Res Treat       Date:  2010-10-19       Impact factor: 4.872

2.  Estimating CDKN2A carrier probability and personalizing cancer risk assessments in hereditary melanoma using MelaPRO.

Authors:  Wenyi Wang; Kristin B Niendorf; Devanshi Patel; Amanda Blackford; Fabio Marroni; Arthur J Sober; Giovanni Parmigiani; Hensin Tsao
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

3.  PancPRO: risk assessment for individuals with a family history of pancreatic cancer.

Authors:  Wenyi Wang; Sining Chen; Kieran A Brune; Ralph H Hruban; Giovanni Parmigiani; Alison P Klein
Journal:  J Clin Oncol       Date:  2007-04-10       Impact factor: 44.544

Review 4.  Hereditary breast cancer in the Han Chinese population.

Authors:  Wenming Cao; Xiaojia Wang; Ji-Cheng Li
Journal:  J Epidemiol       Date:  2013-01-12       Impact factor: 3.211

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.