LKB-1 Expression and High-Risk Histopathology are Independent Prognostic Factors for Patients with Oral Cavity Carcinoma

Background The expression of liver kinase B1 (LKB-1) has been associated with prognosis in squamous cell carcinoma of the oral cavity (SCCOC). This study aimed to define the prognostic role of LKB-1 expression for patients with SCCOC and the suitability of its integration into a multivariate prognostic model. Methods A retrospective cohort study of patients with SCCOC was conducted in a cancer center. Expression of LKB-1 was evaluated by immunohistochemistry, and multivariate analysis defined prognostic factors associated with recurrence, recurrence-free survival (RFS), and overall survival (OS). The logistic regression model was used to construct a predictive computer software program. Results Of the 201 patients in this study, 104 (51.7%) experienced recurrence of their disease. Lower expression of LKB-1, high-risk histopathology, and advanced tumor-node-metastasis (TNM) stages were independent factors via multivariate analysis associated with the increased recurrence risk, poor RFS, and poor OS. If lack of LKB-1 expression is considered the reference category, the factors independently associated with recurrence were low (odds ratio [OR], 0.157; 95% confidence interval [CI], 0.044-0.557), intermediate (OR, 0.073; 95% CI, 0.017-0.319), and intense (OR, 0.047; 95% CI, 0.007-0.304) expression of LKB-1. This model permitted construction of a computer software program capable of prediction with receiver operating characteristic analysis (area under the curve, 0.925) and led to the definition of five prognostic groups with a biologic gradient. Conclusion These results suggest that LKB-1 expression in patients with SCCOC is of robust prognostic value and complements the TNM staging system. The proposed model requires external validation in prospective observational studies.

Automated summary

This study defines the prognostic role of LKB-1 expression in patients with squamous cell carcinoma of the oral cavity (SCCOC) and proposes a predictive model that complements the TNM staging system. The model allows for prediction of recurrence risk and survival rates, and defines prognostic groups for patients.