Literature DB >> 28646344

Does biomarker information impact breast cancer patients' preferences and physician recommendation for adjuvant chemotherapy?

Ann H Partridge1,2, Karen Sepucha3,4, Anne O'Neill5, Kathy D Miller6, Emily Baker5, Chau T Dang7, Donald W Northfelt8, George W Sledge6,9, Bryan P Schneider6.   

Abstract

PURPOSE: This study aimed to examine how biomarker information would impact patients' preferences and physicians' recommendations for adjuvant breast cancer therapy.
METHODS: At the 18-month follow-up, participants in a large, double-blind randomized controlled trial of adjuvant chemotherapy with bevacizumab or placebo (E5103) were surveyed about their preferred treatment (either chemotherapy A alone or chemotherapy A+B) in two hypothetical scenarios: (1) without biomarker information; and (2) after learning that they tested positive for a "B-receptor" which modestly increased both the benefit and toxicity expected with chemotherapy A+B. We performed a cross-sectional analysis of the prospectively collected survey data and used the McNemar's test to examine changes in treatment preferences. A one-time survey of clinical investigators who enrolled patients on the trial evaluated physician recommendations in response to the same biomarker information.
RESULTS: 439 patients completed both scenarios on 18-month survey. Most participants preferred A+B in both scenario 1 and 2 (77 and 76% respectively). The increase in benefit and toxicity associated with the positive biomarker information in scenario 2 led 60/439 (14%) of patients to switch their treatment preference. The corresponding physician survey revealed that most physicians chose regimen A+B in scenario 1 (77%), and moreso after the biomarker information was available in scenario 2 (84%).
CONCLUSIONS: Information about a positive biomarker indicating increased benefit and toxicity from additional chemotherapy did not change many participants' preferred treatment. The majority preferred the most effective course in both scenarios. Similarly, most investigators discounted increased toxicity and valued increased benefit. Parent Trial Registration: NCT00433511.

Entities:  

Keywords:  Adjuvant therapy; Biomarkers; Breast cancer; Patient preferences; Risk; Toxicity

Mesh:

Substances:

Year:  2017        PMID: 28646344      PMCID: PMC5837858          DOI: 10.1007/s10549-017-4338-x

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


  12 in total

1.  A new initiative on precision medicine.

Authors:  Francis S Collins; Harold Varmus
Journal:  N Engl J Med       Date:  2015-01-30       Impact factor: 91.245

Review 2.  Threats to applicability of randomised trials: exclusions and selective participation.

Authors:  A Britton; M McKee; N Black; K McPherson; C Sanderson; C Bain
Journal:  J Health Serv Res Policy       Date:  1999-04

Review 3.  Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline.

Authors:  Lyndsay N Harris; Nofisat Ismaila; Lisa M McShane; Fabrice Andre; Deborah E Collyar; Ana M Gonzalez-Angulo; Elizabeth H Hammond; Nicole M Kuderer; Minetta C Liu; Robert G Mennel; Catherine Van Poznak; Robert C Bast; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2016-02-08       Impact factor: 44.544

4.  Association of vascular endothelial growth factor and vascular endothelial growth factor receptor-2 genetic polymorphisms with outcome in a trial of paclitaxel compared with paclitaxel plus bevacizumab in advanced breast cancer: ECOG 2100.

Authors:  Bryan P Schneider; Molin Wang; Milan Radovich; George W Sledge; Sunil Badve; Ann Thor; David A Flockhart; Bradley Hancock; Nancy Davidson; Julie Gralow; Maura Dickler; Edith A Perez; Melody Cobleigh; Tamara Shenkier; Susan Edgerton; Kathy D Miller
Journal:  J Clin Oncol       Date:  2008-10-01       Impact factor: 44.544

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

Authors:  Noel T Brewer; Alrick S Edwards; Suzanne C O'Neill; Janice P Tzeng; Lisa A Carey; Barbara K Rimer
Journal:  Breast Cancer Res Treat       Date:  2008-09-11       Impact factor: 4.872

6.  Prognostic and predictive value of tumor vascular endothelial growth factor gene amplification in metastatic breast cancer treated with paclitaxel with and without bevacizumab; results from ECOG 2100 trial.

Authors:  Bryan P Schneider; Robert J Gray; Milan Radovich; Fei Shen; Gail Vance; Lang Li; Guanglong Jiang; Kathy D Miller; Julie R Gralow; Maura N Dickler; Melody A Cobleigh; Edith A Perez; Tamara N Shenkier; Kirsten Vang Nielsen; Sven Müller; Ann Thor; George W Sledge; Joseph A Sparano; Nancy E Davidson; Sunil S Badve
Journal:  Clin Cancer Res       Date:  2013-01-22       Impact factor: 12.531

7.  Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

Authors:  Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

Review 8.  Experiences and attitudes toward risk of recurrence testing in women with breast cancer: a systematic review.

Authors:  Laura E Leggett; Diane L Lorenzetti; Tom Noseworthy; Simran Tiwana; Gail Mackean; Fiona Clement
Journal:  Breast Cancer Res Treat       Date:  2014-03-05       Impact factor: 4.872

9.  Attitudes toward molecular testing for personalized cancer therapy.

Authors:  Rafeek A Yusuf; Deevakar Rogith; Shelly R A Hovick; Susan K Peterson; Allison M Burton-Chase; Bryan M Fellman; Yisheng Li; Carolyn McKinney; Elmer V Bernstam; Funda Meric-Bernstam
Journal:  Cancer       Date:  2014-09-10       Impact factor: 6.860

10.  Interest and attitudes of patients, cancer physicians, medical students and cancer researchers towards a spectrum of genetic tests relevant to breast cancer patients.

Authors:  Natalie Ngoi; Soo-Chin Lee; Mikael Hartman; Lay-Wai Khin; Andrea Wong
Journal:  Breast       Date:  2012-05-04       Impact factor: 4.380

View more
  1 in total

1.  Double-Blind Phase III Trial of Adjuvant Chemotherapy With and Without Bevacizumab in Patients With Lymph Node-Positive and High-Risk Lymph Node-Negative Breast Cancer (E5103).

Authors:  Kathy D Miller; Anne O'Neill; William Gradishar; Timothy J Hobday; Lori J Goldstein; Ingrid A Mayer; Stuart Bloom; Adam M Brufsky; Amye J Tevaarwerk; Joseph A Sparano; Nguyet Anh Le-Lindqwister; Carolyn B Hendricks; Donald W Northfelt; Chau T Dang; George W Sledge
Journal:  J Clin Oncol       Date:  2018-07-24       Impact factor: 44.544

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.