Literature DB >> 11319173

Comparisons of two breast cancer risk estimates in women with a family history of breast cancer.

A McTiernan1, A Kuniyuki, Y Yasui, D Bowen, W Burke, J B Culver, R Anderson, S Durfy.   

Abstract

There is an increasing need for accurate prediction methods of assessing individual risk for breast cancer for both clinical and research purposes. The purpose of this study is to compare the Gail and Claus model risk estimates of breast cancer among women with a family history of breast cancer. This study presents risk estimates from two models of breast cancer risk in 491 women 18 to 74 years of age with a family history of breast cancer who were recruited to risk counseling clinical trials in Seattle, Washington between 1996 and 1997. These trials included women from the general population and additional samples of Ashkenazi Jewish, African-American, and lesbian women. We estimated and compared lifetime (to age 79) and 5-year risk for developing breast cancer using the National Surgical Adjuvant Breast and Bowel Project adaptation of the Gail model and the Claus model. About one-quarter of participants fell into the Gail "high" risk category (> or =1.7% risk of developing breast cancer in the next 5 years). The average lifetime risk was estimated at 13.2% by the Gail model and 11.2% by the Claus model. Estimates from the two models were moderately and positively correlated (r = 0.55) with the Gail model yielding a higher estimate than the Claus model for most participants. If women with a family history of breast cancer are being counseled regarding decisions on genetic testing, tamoxifen use, or other preventive measures, presenting both Claus and Gail estimates may be the best option.

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Year:  2001        PMID: 11319173

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  21 in total

1.  Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort.

Authors:  Anne Marie McCarthy; Zoe Guan; Michaela Welch; Molly E Griffin; Dorothy A Sippo; Zhengyi Deng; Suzanne B Coopey; Ahmet Acar; Alan Semine; Giovanni Parmigiani; Danielle Braun; Kevin S Hughes
Journal:  J Natl Cancer Inst       Date:  2020-05-01       Impact factor: 13.506

2.  Application of the Rosner-Wei risk-prediction model to estimate sexual orientation patterns in colon cancer risk in a prospective cohort of US women.

Authors:  S Bryn Austin; Mathew J Pazaris; Esther K Wei; Bernard Rosner; Grace A Kennedy; Deborah Bowen; Donna Spiegelman
Journal:  Cancer Causes Control       Date:  2014-05-23       Impact factor: 2.506

3.  [Application of the Gail method of calculating risk in the population of Valencia].

Authors:  Ismael Pascual Pastor Climente; María M Morales Suárez-Varela; Agustín Llopis González; José F Magraner Gil
Journal:  Clin Transl Oncol       Date:  2005-09       Impact factor: 3.405

4.  Is there an association between invasive lobular carcinoma of the breast and a family history of gastric cancer?

Authors:  Bar Chikman; Tima Davidson; Hasan Kais; Igor Jeroukhimov; Ari Leshno; Judith Sandbank; Ariel Halevy; Ron Lavy
Journal:  Fam Cancer       Date:  2016-01       Impact factor: 2.375

5.  Five-year and lifetime risk of breast cancer among U.S. subpopulations: implications for magnetic resonance imaging screening.

Authors:  Barry I Graubard; Andrew N Freedman; Mitchell H Gail
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-09-14       Impact factor: 4.254

6.  Application of the Rosner-Colditz risk prediction model to estimate sexual orientation group disparities in breast cancer risk in a U.S. cohort of premenopausal women.

Authors:  S Bryn Austin; Mathew J Pazaris; Bernard Rosner; Deborah Bowen; Janet Rich-Edwards; Donna Spiegelman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-03       Impact factor: 4.254

7.  Cancer genetics service interest in women with a limited family history of breast cancer.

Authors:  Tamara J Somers; Julie C Michael; William M P Klein; Andrew Baum
Journal:  J Genet Couns       Date:  2009-05-14       Impact factor: 2.537

8.  Perceived risk of breast cancer among Latinas attending community clinics: risk comprehension and relationship with mammography adherence.

Authors:  Kristi D Graves; Elmer Huerta; Jennifer Cullen; Elizabeth Kaufman; Vanessa Sheppard; George Luta; Claudine Isaacs; Marc D Schwartz; Jeanne Mandelblatt
Journal:  Cancer Causes Control       Date:  2008-08-15       Impact factor: 2.506

9.  Assessing and managing breast cancer risk: clinical tools for advising patients.

Authors:  Bernard Friedenson
Journal:  MedGenMed       Date:  2004-01-14

10.  DNA repair gene variants associated with benign breast disease in high cancer risk women.

Authors:  Timothy J Jorgensen; Kathy J Helzlsouer; Sandra C Clipp; Judy Hoffman Bolton; Rosa M Crum; Kala Visvanathan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-01       Impact factor: 4.254

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