Validating an Oropharyngeal Cancer Risk Prediction Model with Data from a Canadian Population

Area of Science:

• Oncology
• Epidemiology
• Public Health

Background:

• Rising incidence of human papillomavirus (HPV)-related oropharyngeal cancer (OPC) in North America necessitates risk prediction.
• Lack of validated OPC risk models for the Canadian population hinders targeted prevention.
• This study addresses the need for external validation of an existing OPC risk prediction model in Canada.

Purpose of the Study:

• To externally validate a US-developed OPC risk prediction model using a Canadian dataset.
• To assess the model's predictive performance and calibration in a Canadian context.
• To identify the need for model refinement for Canadian populations.

Main Methods:

• External validation of an OPC risk prediction model using the HeNCe Life study data (Montreal, Canada).
• Inclusion of 214 oropharyngeal squamous cell carcinoma cases and 433 controls (age 30-79).
• Analysis of predictors including demographics, lifestyle factors (smoking, alcohol), HPV status, and interactions.

Main Results:

• The model demonstrated above-average overall performance and discrimination (Concordance statistic: 0.74).
• Suboptimal calibration was observed (Calibration slope: 0.57), indicating potential over- or underestimation of risk.
• Key predictors included HPV infection, smoking, alcohol consumption, and number of sexual partners.

Conclusions:

• The existing OPC risk model shows promising but imperfect predictive ability in the Canadian population.
• Recalibration of the model using Canadian data is recommended to improve accuracy.
• Further research is essential to optimize the model for effective use in Canada.