Literature DB >> 17925559

Women's interest in gene expression analysis for breast cancer recurrence risk.

Suzanne C O'Neill1, Noel T Brewer, Sarah E Lillie, Edward F Morrill, E Claire Dees, Lisa A Carey, Barbara K Rimer.   

Abstract

PURPOSE: Genomic and other technologies are improving the accuracy with which clinicians can estimate risk for recurrence (RFR) of breast cancer and make judgments about potential benefits of chemotherapy. Little is known of how patients will respond to genomic RFR testing or interact with their physicians to make informed decisions regarding treatment. We assessed interest in genomic RFR testing and patient preferences for incorporating results into treatment decision making. PATIENTS AND METHODS: One hundred thirty-nine women previously treated for early-stage breast cancer completed surveys that presented hypothetical scenarios reflecting different test outcomes and potential decisions. We assessed women's attitudes toward RFR testing, how results would affect their choices about adjuvant treatment, and potential concerns about and perceived benefits of testing.
RESULTS: The majority of participants said they would "definitely" want to be tested (76%), receive their results (87%), and discuss these results with their physicians. They were willing to pay, on average, $997 for testing. Those who expressed more concerns about testing were less interested in testing and in incorporating results into treatment decision making. Participants were more likely to want chemotherapy when presented with high-risk results and would worry more about those results. They were least likely to trust and most likely to express potential anticipated regret in response to intermediate RFR results.
CONCLUSION: Participants expressed strong interest in testing. Although these decisions were sensitive to RFR, participants' complex reactions to intermediate RFR suggest care is needed when communicating such results.

Entities:  

Mesh:

Year:  2007        PMID: 17925559     DOI: 10.1200/JCO.2006.09.6255

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


  21 in total

1.  Attitudes toward information about genetic risk for cognitive impairment after cancer chemotherapy: breast cancer survivors compared with healthy controls.

Authors:  Michael A Andrykowski; Jessica L Burris; Erin Walsh; Brent J Small; Paul B Jacobsen
Journal:  J Clin Oncol       Date:  2010-05-24       Impact factor: 44.544

2.  Impact of genomic testing and patient-reported outcomes on receipt of adjuvant chemotherapy.

Authors:  Chalanda N Evans; Noel T Brewer; Susan T Vadaparampil; Marc Boisvert; Yvonne Ottaviano; M Catherine Lee; Claudine Isaacs; Marc D Schwartz; Suzanne C O'Neill
Journal:  Breast Cancer Res Treat       Date:  2016-04-08       Impact factor: 4.872

3.  Patients' understanding of how genotype variation affects benefits of tamoxifen therapy for breast cancer.

Authors:  N T Brewer; J T Defrank; W K Chiu; J G Ibrahim; C M Walko; P Rubin; O A Olajide; S G Moore; R E Raab; D R Carrizosa; S W Corso; G Schwartz; J M Peppercorn; H L McLeod; L A Carey; W J Irvin
Journal:  Public Health Genomics       Date:  2014-01-22       Impact factor: 2.000

4.  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

5.  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
Journal:  Oncologist       Date:  2015-03-06

6.  A closer look at unmet needs at the end of primary treatment for breast cancer: a longitudinal pilot study.

Authors:  Jessica L Burris; Kent Armeson; Katherine Regan Sterba
Journal:  Behav Med       Date:  2014-09-15       Impact factor: 3.104

7.  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

8.  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

9.  Attitudes of patients with cancer about personalized medicine and somatic genetic testing.

Authors:  Stacy W Gray; Katherine Hicks-Courant; Christopher S Lathan; Levi Garraway; Elyse R Park; Jane C Weeks
Journal:  J Oncol Pract       Date:  2012-08-07       Impact factor: 3.840

10.  Testing personalized medicine: patient and physician expectations of next-generation genomic sequencing in late-stage cancer care.

Authors:  Fiona A Miller; Robin Z Hayeems; Jessica P Bytautas; Philippe L Bedard; Scott Ernst; Hal Hirte; Sebastien Hotte; Amit Oza; Albiruni Razak; Stephen Welch; Eric Winquist; Janet Dancey; Lillian L Siu
Journal:  Eur J Hum Genet       Date:  2013-07-17       Impact factor: 4.246

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