BACKGROUND: Pharmacogenomics is gaining increasing importance in the therapeutics of cancer; yet, there is little knowledge of cancer patients' attitudes toward the use of pharmacogenomic testing in clinical practice. We carried out this study to explore cancer patients' acceptance, understanding, and willingness-to-pay for pharmacogenomic testing. MATERIALS AND METHODS: A broad cross-section of gastrointestinal, lung, breast, and other cancer patients were interviewed in terms of their acceptance of pharmacogenomic testing using hypothetical time, efficacy, and toxicity trade-off and willingness-to-pay scenarios. RESULTS: Among the 96% of 123 adjuvant patients accepting chemotherapy under optimal conditions, 99% wanted pharmacogenomic testing that could identify a subset of patients benefiting from chemotherapy, accepting median incurred costs of $2000 (range $0-25,000) and turnaround time for test results of 16 days (range 0-90 days). Among the 97% of 121 metastatic patients accepting chemotherapy, 97.4% wanted pharmacogenomic testing that could detect the risk of severe toxicity, accepting median incurred costs of $1000 (range $0-10,000) and turnaround time for results of 14 days (range 1-90 days). The majority of patients wanted to be involved in decision-making on pharmacogenomic testing; however, one in five patients lacked a basic understanding of pharmacogenomic testing. CONCLUSION: Among cancer patients willing to undergo chemotherapy, almost all wanted pharmacogenomic testing and were willing-to-pay for it, waiting several weeks for results. Although patients had a strong desire to be involved in decision-making on pharmacogenomic testing, a considerable proportion lacked the necessary knowledge to make informed choices.
BACKGROUND: Pharmacogenomics is gaining increasing importance in the therapeutics of cancer; yet, there is little knowledge of cancerpatients' attitudes toward the use of pharmacogenomic testing in clinical practice. We carried out this study to explore cancerpatients' acceptance, understanding, and willingness-to-pay for pharmacogenomic testing. MATERIALS AND METHODS: A broad cross-section of gastrointestinal, lung, breast, and other cancerpatients were interviewed in terms of their acceptance of pharmacogenomic testing using hypothetical time, efficacy, and toxicity trade-off and willingness-to-pay scenarios. RESULTS: Among the 96% of 123 adjuvant patients accepting chemotherapy under optimal conditions, 99% wanted pharmacogenomic testing that could identify a subset of patients benefiting from chemotherapy, accepting median incurred costs of $2000 (range $0-25,000) and turnaround time for test results of 16 days (range 0-90 days). Among the 97% of 121 metastatic patients accepting chemotherapy, 97.4% wanted pharmacogenomic testing that could detect the risk of severe toxicity, accepting median incurred costs of $1000 (range $0-10,000) and turnaround time for results of 14 days (range 1-90 days). The majority of patients wanted to be involved in decision-making on pharmacogenomic testing; however, one in five patients lacked a basic understanding of pharmacogenomic testing. CONCLUSION: Among cancerpatients willing to undergo chemotherapy, almost all wanted pharmacogenomic testing and were willing-to-pay for it, waiting several weeks for results. Although patients had a strong desire to be involved in decision-making on pharmacogenomic testing, a considerable proportion lacked the necessary knowledge to make informed choices.
Authors: Ana P M Pinheiro; Rachel H Pocock; Jeffrey M Switchenko; Margie D Dixon; Walid L Shaib; Suresh S Ramalingam; Rebecca D Pentz Journal: Cancer Date: 2017-01-31 Impact factor: 6.860
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Authors: Maisam Makarem; Doreen A Ezeife; Adam C Smith; Janice J N Li; Jennifer H Law; Ming-Sound Tsao; Natasha B Leighl Journal: Curr Oncol Date: 2021-08-25 Impact factor: 3.677
Authors: Deborah A Marshall; Karen V MacDonald; Jill Oliver Robinson; Lisa F Barcellos; Milena Gianfrancesco; Monica Helm; Amy McGuire; Robert C Green; Michael P Douglas; Michael A Goldman; Kathryn A Phillips Journal: Per Med Date: 2017-05-23 Impact factor: 2.512
Authors: Sheila V Kusnoor; Taneya Y Koonce; Mia A Levy; Christine M Lovly; Helen M Naylor; Ingrid A Anderson; Christine M Micheel; Sheau-Chiann Chen; Fei Ye; Nunzia B Giuse Journal: AMIA Jt Summits Transl Sci Proc Date: 2016-07-20
Authors: C E Wakefield; E L Doolan; J E Fardell; C Signorelli; V F Quinn; K M Tucker; A F Patenaude; G M Marshall; R B Lock; G Georgiou; R J Cohn Journal: EBioMedicine Date: 2018-10-29 Impact factor: 8.143