Literature DB >> 18785002

When genomic and standard test results diverge: implications for breast cancer patients' preference for chemotherapy.

Noel T Brewer1, Alrick S Edwards, Suzanne C O'Neill, Janice P Tzeng, Lisa A Carey, Barbara K Rimer.   

Abstract

PURPOSE: We examined how women incorporate potentially differing genomic and standard assessments of breast cancer recurrence risk into chemotherapy decisions.
METHODS: 165 women previously treated for early-stage breast cancer indicated their interest in chemotherapy regimens to prevent recurrence of breast cancer in response to six hypothetical vignettes that presented breast cancer recurrence risk estimates from standard criteria and a genomic test, some of which were discordant.
RESULTS: Standard and genomic test results each elicited greater interest in chemotherapy when they indicated high rather than low risk for recurrence (89% vs. 26%, and 87% vs. 22%, respectively, Ps < 0.001). Genomic test results had a larger impact on chemotherapy preferences than standard measures to predict recurrence.
CONCLUSIONS: Some women may be reluctant to forgo chemotherapy when genomic tests indicate low recurrence risk but standard criteria suggest high risk. Additional research including replication of the findings of this small, vignette-based study is needed.

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Year:  2008        PMID: 18785002     DOI: 10.1007/s10549-008-0175-2

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  15 in total

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Journal:  Public Health Genomics       Date:  2014-01-22       Impact factor: 2.000

3.  Patients' perceptions of gene expression profiling in breast cancer treatment decisions.

Authors:  Y Bombard; L Rozmovits; M E Trudeau; N B Leighl; K Deal; D A Marshall
Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

4.  The value of personalizing medicine: medical oncologists' views on gene expression profiling in breast cancer treatment.

Authors:  Yvonne Bombard; Linda Rozmovits; Maureen Trudeau; Natasha B Leighl; Ken Deal; Deborah A Marshall
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5.  A randomized trial Examining The Impact Of Communicating Genetic And Lifestyle Risks For Obesity.

Authors:  Catharine Wang; Erynn S Gordon; Tricia Norkunas; Lisa Wawak; Ching-Ti Liu; Michael Winter; Rachel S Kasper; Michael F Christman; Robert C Green; Deborah J Bowen
Journal:  Obesity (Silver Spring)       Date:  2016-12       Impact factor: 5.002

6.  Improving communication of breast cancer recurrence risk.

Authors:  Noel T Brewer; Alice R Richman; Jessica T DeFrank; Valerie F Reyna; Lisa A Carey
Journal:  Breast Cancer Res Treat       Date:  2011-10-01       Impact factor: 4.872

7.  Understanding how breast cancer patients use risk information from genomic tests.

Authors:  Jessica T DeFrank; Lisa A Carey; Noel T Brewer
Journal:  J Behav Med       Date:  2012-08-10

8.  Use and Impact of the 21-Gene Recurrence Score in Relation to the Clinical Risk of Developing Metastases in Early Breast Cancer Patients in the Netherlands.

Authors:  Kay Schreuder; Anne Kuijer; Sanne Bentum; Thijs van Dalen; Sabine Siesling
Journal:  Public Health Genomics       Date:  2019-01-16       Impact factor: 2.000

9.  How can we best respect patient autonomy in breast cancer treatment decisions?

Authors:  Sarah T Hawley; Reshma Jagsi; Kathryn A Martinez; Allison W Kurian
Journal:  Breast Cancer Manag       Date:  2015

10.  A randomized trial of the clinical utility of genetic testing for obesity: design and implementation considerations.

Authors:  Catharine Wang; Erynn S Gordon; Catharine B Stack; Ching-Ti Liu; Tricia Norkunas; Lisa Wawak; Michael F Christman; Robert C Green; Deborah J Bowen
Journal:  Clin Trials       Date:  2013-11-11       Impact factor: 2.486

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