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Patient Views on a Pre-treatment Blood Test to Predict Outcomes Following PD-1 Inhibitor Therapy: A Qualitative Study
Amy Jarvis1, Sarah Vincent2, Amanda D Hutchinson2
1Adelaide University, Adelaide, Australia. amy.jarvis@adelaide.edu.au.
Melanoma patients value predictive tests for anti-PD-1 immunotherapy, seeing them as empowering. Patient decisions are influenced by test results and doctor recommendations for advanced melanoma treatment.
Area of Science:
- Oncology
- Immunotherapy
- Patient-Reported Outcomes
Background:
- Anti-PD-1 immunotherapy offers benefits for advanced melanoma but has limited efficacy in less than half of patients.
- Severe adverse effects associated with anti-PD-1 therapy necessitate the development of predictive biomarkers.
- Predictive biomarker tests aim to identify patients likely to respond to immunotherapy, improving treatment selection.
Purpose of the Study:
- To qualitatively explore advanced melanoma patients' perspectives on the value of predictive biomarker tests for anti-PD-1 immunotherapy.
- To understand how such tests would influence patients' treatment decision-making processes.
Main Methods:
- Semi-structured interviews were conducted with 14 melanoma patients starting PD-1 inhibitor therapy.
- Participants were presented with a hypothetical blood-based biomarker test scenario predicting immunotherapy success or failure.
Main Results:
- Patients perceive significant value in predictive tests, regardless of outcome, for managing expectations and aiding decisions.
- Test results directly influence patients' willingness to undergo PD-1 inhibitor therapy.
- Ultimately, patients rely on their treating doctor's interpretation of test results and guidance for treatment decisions.
Conclusions:
- Advanced melanoma patients recognize the value of predictive tests for anti-PD-1 immunotherapy.
- Effective communication of test results should include discussions on alternative treatments and doctor's recommendations.
- Integrating patient perspectives is crucial for developing and implementing biomarker-based predictive tests.
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