Literature DB >> 15899071

Evaluation of hereditary risk in a mammography population.

Julie L Jones1, Kevin S Hughes, Daniel B Kopans, Richard H Moore, Marissa Howard-McNatt, Sherwood S Hughes, Nancy Y Lee, Constance A Roche, Nancy Siegel, Michele A Gadd, Barbara L Smith, James S Michaelson.   

Abstract

PURPOSE: BRCA1 and BRCA2 mutations significantly increase a women's lifetime risk of breast and ovarian cancer. Because several management options have shown promise in decreasing morbidity and mortality for these women, identifying potential mutation carriers is increasingly important. We have developed a large-scale method to collect family histories in a population of unaffected women presenting for mammography. We then applied current risk-assessment models to determine the prevalence of women at risk for hereditary breast and ovarian cancer.
MATERIALS AND METHODS: We performed a retrospective review of family histories using data collected on all unaffected women presenting for mammography over a 14-week period. The Claus, Myriad II, and Hartmann models for hereditary risk assessment were applied to the survey results.
RESULTS: The questionnaire was completed by 5736 women, 695 of whom were excluded because of a personal history of breast or ovarian cancer. Family histories of the remaining 5041 women were evaluated. Totals of 5.9%, 5.2%, and 3.3% of patients, respectively, met criteria for increased risk according to the Hartmann, Myriad II, and Claus models, corresponding to 3.5, 3.1, and 1.9 patients per day. Although 9.2% of patients met criteria for >/=1 model, only 1.4% met criteria for all 3.
CONCLUSIONS: Application of available models to a screening population classifies a larger than expected number of women at high risk for a BRCA1 or BRCA2 mutation. New approaches to risk assessment and counseling are needed to apply our knowledge of hereditary risk to a broad population in a practical manner.

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Year:  2005        PMID: 15899071     DOI: 10.3816/CBC.2005.n.007

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  11 in total

1.  Screen positive rates among six family history screening protocols for breast/ovarian cancer in four cohorts of women.

Authors:  Monica R McClain; Glenn E Palomaki; Heather Hampel; Judith A Westman; James E Haddow
Journal:  Fam Cancer       Date:  2008-02-23       Impact factor: 2.375

Review 2.  What characterizes cancer family history collection tools? A critical literature review.

Authors:  J E Cleophat; H Nabi; S Pelletier; K Bouchard; M Dorval
Journal:  Curr Oncol       Date:  2018-08-14       Impact factor: 3.677

3.  The safety parameters of the study on intraductal cytotoxic agent delivery to the breast before mastectomy.

Authors:  Bailin Zhang; Susan M Love; Guoji Chen; Jing Wang; Jidong Gao; Xiaozhou Xu; Zhongzhao Wang; Xiang Wang
Journal:  Chin J Cancer Res       Date:  2014-10       Impact factor: 5.087

4.  Bias in the reporting of family history: implications for clinical care.

Authors:  Elissa M Ozanne; Adrienne O'Connell; Colleen Bouzan; Phil Bosinoff; Taryn Rourke; Dana Dowd; Brian Drohan; Fred Millham; Pat Griffin; Elkan F Halpern; Alan Semine; Kevin S Hughes
Journal:  J Genet Couns       Date:  2012-01-12       Impact factor: 2.537

5.  Self administered screening for hereditary cancers in conjunction with mammography and ultrasound.

Authors:  Charles H McDonnell; David J Seidenwurm; Diana E McDonnell; Kristie A Bobolis
Journal:  Fam Cancer       Date:  2013-12       Impact factor: 2.375

6.  Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care.

Authors:  Heather J Baer; Louise I Schneider; Graham A Colditz; Hank Dart; Analisa Andry; Deborah H Williams; E John Orav; Jennifer S Haas; George Getty; Elizabeth Whittemore; David W Bates
Journal:  J Gen Intern Med       Date:  2013-01-31       Impact factor: 5.128

7.  Improving learning about familial risks using a multicomponent approach: the GRACE program.

Authors:  Nedal Arar; Elizabeth Delgado; Shuko Lee; Hanna E Abboud
Journal:  Per Med       Date:  2013-01-01       Impact factor: 2.512

8.  Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study.

Authors:  Despina Kontos; Predrag R Bakic; Ann-Katherine Carton; Andrea B Troxel; Emily F Conant; Andrew D A Maidment
Journal:  Acad Radiol       Date:  2009-03       Impact factor: 3.173

9.  "Are you at risk for hereditary breast cancer?": development of a personal risk assessment tool for hereditary breast and ovarian cancer.

Authors:  Wendy F Cohn; Susan M Jones; Susan Miesfeldt
Journal:  J Genet Couns       Date:  2008-01-08       Impact factor: 2.537

10.  Patient interest in recording family histories of cancer via the Internet.

Authors:  Christian Simon; Louise Acheson; Christopher Burant; Nancy Gerson; Sarah Schramm; Susan Lewis; Georgia Wiesner
Journal:  Genet Med       Date:  2008-12       Impact factor: 8.822

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