Literature DB >> 8040684

Quantitating familial cancer risk: a resource for clinical oncologists.

K Offit1, K Brown.   

Abstract

PURPOSE: Because a family history of cancer constitutes an important risk factor, estimation and communication of cancer risk can facilitate efforts toward early detection and prevention. This review provides a resource for health professionals called to draw upon a multidisciplinary literature to provide quantitative risk estimates to families with cancer.
DESIGN: Descriptive population-derived, epidemiologic, genetic, genetic epidemiologic, and molecular studies are critically reviewed in the context of cancer genetic counseling.
RESULTS: Data are presented that document the increased lifetime relative risk to relatives of individuals with cancers of the breast, ovary, colon, prostate, or other sites. In general, risk ratios are poorly suited for clinical counseling. Age-specific absolute risks are presented for first-degree relatives of individuals affected by cancers of the breast, ovary, and colon. The derivation of Mendelian and Bayesian risk estimates in the setting of well-defined cancer family syndromes, and the growing role of DNA testing in more accurately assessing these risks, are discussed. Such carrier testing requires careful psychologic and ethical considerations.
CONCLUSION: Multidisciplinary cancer genetic counseling is an emerging resource available to physicians who care for families with common adult malignancies.

Entities:  

Mesh:

Year:  1994        PMID: 8040684     DOI: 10.1200/JCO.1994.12.8.1724

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


  16 in total

1.  Family histories of breast cancer, coping styles, and psychological adjustment.

Authors:  Youngmee Kim; Heiddis B Valdimarsdottir; Dana H Bovbjerg
Journal:  J Behav Med       Date:  2003-06

2.  Perspectives on personalized cancer care.

Authors:  Garrett M Dancika; Dan Theodorescu
Journal:  Urol Oncol       Date:  2012 Mar-Apr       Impact factor: 3.498

3.  BayesMendel: an R environment for Mendelian risk prediction.

Authors:  Sining Chen; Wenyi Wang; Karl W Broman; Hormuzd A Katki; Giovanni Parmigiani
Journal:  Stat Appl Genet Mol Biol       Date:  2004-09-17

4.  Gail model breast cancer risk components are poor predictors of risk perception and screening behavior.

Authors:  M B Daly; C L Lerman; E Ross; M D Schwartz; C B Sands; A Masny
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

5.  Prevalence of family history of breast, colorectal, prostate, and lung cancer in a population-based study.

Authors:  P L Mai; L Wideroff; M H Greene; B I Graubard
Journal:  Public Health Genomics       Date:  2010-04-09       Impact factor: 2.000

6.  Investigation of the Use of a Family Health History Application in Genetic Counseling.

Authors:  Meghan L Tipsword; Peter S White; Christine G Spaeth; Richard F Ittenbach; Melanie F Myers
Journal:  J Genet Couns       Date:  2017-12-22       Impact factor: 2.537

7.  Complexities in Cancer Risk Counseling: Presentation of Three Cases.

Authors:  K A Schneider; J E Stopfer; J A Peters; E Knell; G Rosenthal
Journal:  J Genet Couns       Date:  1997-06       Impact factor: 2.537

8.  Cancer Risk Counseling: How Is It Different?

Authors:  K A Schneider; D Marnane
Journal:  J Genet Couns       Date:  1997-06       Impact factor: 2.537

9.  Cancer genetic risk assessment: a note of caution.

Authors:  M Markman
Journal:  J Cancer Res Clin Oncol       Date:  1995       Impact factor: 4.553

Review 10.  Risk models used to counsel women for breast and ovarian cancer: a guide for clinicians.

Authors:  E B Claus
Journal:  Fam Cancer       Date:  2001       Impact factor: 2.375

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