Literature DB >> 33163848

Tumor Genomic Profiling Practices and Perceptions: A Survey of Physicians Participating in the NCI-MATCH Trial.

Alice Chen1, Keith Flaherty2, Peter J O'Dwyer3, Bruce Giantonio4, Donna M Marinucci5, Ju-Whei Lee6, Elda Railey7, Mary Lou Smith7, Carol White8, Barbara Conley1.   

Abstract

PURPOSE: To identify factors that may influence physician participation in tumor profiling studies and to assess the routine use of tumor profiling in clinical practice.
METHODS: Physicians in the National Cancer Institute-Molecular Analysis for Therapy Choice (NCI-MATCH) were invited to participate in an electronic survey consisting of 73 questions related to participation in genomic profiling studies, tumor profiling practices and education during usual patient care, and physician background and practice characteristics.
RESULTS: The survey response rate was 8.9% (171 surveys returned of 1,931 sent). A majority of respondents practiced in academic medical centers (AMCs). Participation in NCI-MATCH increased workload and cost but resulted in increased professional satisfaction, confidence in treatment recommendation, and subsequent use of tumor profiling. Barriers to patient participation included length of wait time for results and lack of a therapeutic option from the testing. Physicians who worked in AMCs reported a higher use of tumor profiling than did those who worked in non-AMC settings (43% v 18%; P = .0009). Access to a molecular tumor board was perceived as valuable by 56%. The study identified a need for educational materials to guide both physicians and patients in the field of genomic profiling.
CONCLUSION: Physicians who participate in NCI-MATCH perceive value to patient treatment that outweighs the additional effort required; survey results help identify barriers that may limit participation. The current findings have implications for the design of future genomic and other profiling studies.
© 2020 by American Society of Clinical Oncology.

Entities:  

Year:  2020        PMID: 33163848      PMCID: PMC7608510          DOI: 10.1200/PO.20.00217

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


  8 in total

1.  Commentary: Improving response rates to mailed surveys: what do we learn from randomized controlled trials?

Authors:  Scott D Halpern; David A Asch
Journal:  Int J Epidemiol       Date:  2003-08       Impact factor: 7.196

2.  Analytical Validation of the Next-Generation Sequencing Assay for a Nationwide Signal-Finding Clinical Trial: Molecular Analysis for Therapy Choice Clinical Trial.

Authors:  Chih-Jian Lih; Robin D Harrington; David J Sims; Kneshay N Harper; Courtney H Bouk; Vivekananda Datta; Jonathan Yau; Rajesh R Singh; Mark J Routbort; Rajyalakshmi Luthra; Keyur P Patel; Geeta S Mantha; Savitri Krishnamurthy; Karyn Ronski; Zenta Walther; Karin E Finberg; Sandra Canosa; Hayley Robinson; Amelia Raymond; Long P Le; Lisa M McShane; Eric C Polley; Barbara A Conley; James H Doroshow; A John Iafrate; Jeffrey L Sklar; Stanley R Hamilton; P Mickey Williams
Journal:  J Mol Diagn       Date:  2017-02-07       Impact factor: 5.568

3.  Molecular analysis for therapy choice: NCI MATCH.

Authors:  Barbara A Conley; James H Doroshow
Journal:  Semin Oncol       Date:  2014-05-22       Impact factor: 4.929

4.  Cancer Genetic Counselors' Current Practices and Attitudes Related to the Use of Tumor Profiling.

Authors:  LeAnne Noelle Goedde; Nathan W Stupiansky; Melissa Lah; Kimberly A Quaid; Stephanie Cohen
Journal:  J Genet Couns       Date:  2017-01-13       Impact factor: 2.537

Review 5.  Validation of Immunohistochemical Assays for Integral Biomarkers in the NCI-MATCH EAY131 Clinical Trial.

Authors:  Joseph D Khoury; Wei-Lien Wang; Victor G Prieto; L Jeffrey Medeiros; Neda Kalhor; Meera Hameed; Russell Broaddus; Stanley R Hamilton
Journal:  Clin Cancer Res       Date:  2017-08-24       Impact factor: 12.531

6.  Exploring physician specialist response rates to web-based surveys.

Authors:  Ceara Tess Cunningham; Hude Quan; Brenda Hemmelgarn; Tom Noseworthy; Cynthia A Beck; Elijah Dixon; Susan Samuel; William A Ghali; Lindsay L Sykes; Nathalie Jetté
Journal:  BMC Med Res Methodol       Date:  2015-04-09       Impact factor: 4.615

7.  Incentive and Reminder Strategies to Improve Response Rate for Internet-Based Physician Surveys: A Randomized Experiment.

Authors:  David A Cook; Christopher M Wittich; Wendlyn L Daniels; Colin P West; Ann M Harris; Timothy J Beebe
Journal:  J Med Internet Res       Date:  2016-09-16       Impact factor: 5.428

8.  The Molecular Analysis for Therapy Choice (NCI-MATCH) Trial: Lessons for Genomic Trial Design.

Authors:  Keith T Flaherty; Robert Gray; Alice Chen; Shuli Li; David Patton; Stanley R Hamilton; Paul M Williams; Edith P Mitchell; A John Iafrate; Jeffrey Sklar; Lyndsay N Harris; Lisa M McShane; Larry V Rubinstein; David J Sims; Mark Routbort; Brent Coffey; Tony Fu; James A Zwiebel; Richard F Little; Donna Marinucci; Robert Catalano; Rick Magnan; Warren Kibbe; Carol Weil; James V Tricoli; Brian Alexander; Shaji Kumar; Gary K Schwartz; Funda Meric-Bernstam; Chih-Jian Lih; Worta McCaskill-Stevens; Paolo Caimi; Naoko Takebe; Vivekananda Datta; Carlos L Arteaga; Jeffrey S Abrams; Robert Comis; Peter J O'Dwyer; Barbara A Conley
Journal:  J Natl Cancer Inst       Date:  2020-10-01       Impact factor: 13.506

  8 in total

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