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Developing and validating a multivariable predictive biomarker for treatment selection for oropharyngeal squamous cell carcinoma: The PREDICTR-OPC study.

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6004Background: To date there are no validated predictive tests to inform treatment selection for patients with oropharyngeal cancer (OPC). Currently treatment is decided on disease resectability, clinician preference and patient… Click to show full abstract

6004Background: To date there are no validated predictive tests to inform treatment selection for patients with oropharyngeal cancer (OPC). Currently treatment is decided on disease resectability, clinician preference and patient choice. Methods: Objective To develop a predictive test to select treatment for advanced OPC. Participants Training cohort: 543 cases from 10 cancer centres. External validation cohort: 442 cases from 3 centres. Design Multivariable logistic regression of 8 clinical parameters and 10 biomarkers to develop biomarker-only and composite clinical/biomarker predictive models; subsequently validated on a separate cohort. Biomarkers scored by ≥2 ‘blinded’ pathologists. Outcomes Primary: overall survival (OS). Results: 724 males, 261 females; Median follow-up =8.8 (6.86-10.47) years. More validation cases received surgery (53.5% vs 37.9%, p=0.001) and fewer received chemo/radiotherapy (42%vs67.5%; p=0.001) compared to training cohort. The biomarker-only model performed better than the cl...

Keywords: treatment selection; biomarker; treatment; cohort; developing validating

Journal Title: Journal of Clinical Oncology
Year Published: 2017

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