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We demonstrate significant predictive performance of the risk model in a new cohort of patients with primary HNSCC, adjusted for confounders. Our training experience also supports the feasibility of adapting the risk model in clinical practice.

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The Risk Model is a validated outcome predictor for patients with head and neck squamous cell carcinoma (Brandwein-Gensler et al. in Am J Surg Pathol 20:167-178, 2005; Am J Surg Pathol 34:676-688, 2010 Head and Neck Pathol (2013) 7:211-223 DOI 10.1007/s12105-012-0412-1 in 9 T1N0 patients (6 %) and 9 T2N0 patients (10 %). On multivariable analysis, the Risk Model was significantly predictive of LRR (p = 0.0012, HR 2.41, 95 % CI 1.42, 4.11) and DSS (p = 0.0005, HR 9.16, 95 % CI 2.65, 31.66) adjusted for potential confounders. WPOI alone was also significantly predictive for LRR adjusted for potential confounders with a cut-point of either WPOI-4 (p = 0.0029, HR 3.63, 95 % CI 1.56, 8.47) or WPOI-5 (p = 0.0008, HR 2.55, 95 % CI 1.48, 4.41) and for DSS (cut point WPOI-5, p = 0.0001, HR 6.34, 95 % CI 2.50, 16.09). Given a WPOI-5, the probability of developing locoregional recurrence is 42 %. Given a high-risk classification for a combination of features other than WPOI-5, the probability of developing locoregional recurrence is 32 %. The Risk Model is the first validated model that is significantly predictive for the important niche group of low-stage OCSCC patients.