Risk-group definition by recursive partitioning analysis of patients with squamous cell head and neck carcinoma treated with surgery and postoperative radiotherapy

BACKGROUND The objective of this study was to define different prognostic groups with regard to locoregional control (LRC) derived from recursive partitioning analysis (RPA). METHODS Eight hundred one patients with squamous cell head and neck carcinoma underwent with primary surgery and received postoperative radiotherapy. For the definition of prognostic groups, the method of classification and regression trees was performed, including a large number of well known prognostic factors. RESULTS The final model was composed of six prognostic factors for LRC, resulting in seven terminal nodes. RPA Class I (intermediate risk) consisted of 381 patients who had no N3 lymph nodes, free surgical margins (> 5 mm), and no extranodal spread (ENS). RPA Class II (high risk) consisted of 189 patients who had 1 positive lymph node with ENS or had T1, T2, or T4 tumors with close or positive surgical margins. RPA Class III (very high risk) consisted of 231 patients who had a N3 neck, ≥ 2 positive lymph nodes with ENS, or a T3 tumor with close or positive surgical margins. The 5-year LRC rate was 88%, 73% and 58%, in RPA Class I, II, and III, respectively (P < 0.0001). The hazard ratio (HR) relative to RPA Class I was 2.3 (95% confidence interval [95%CI], 1.5–3.6) for RPA Class II and 4.2 (95%CI, 2.8–6.1) for RPA Class III. CONCLUSIONS The RPA classification scheme studied allowed for the clear definition of three prognostic groups with regard to LRC and OS. These groups may be useful in the design of future prospective, randomized studies investigating new treatment modalities. Cancer 2005. © 2005 American Cancer Society.