Abstract | 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.
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Authors | José F Carrillo, Christian Cruz-Romero, Alejandro Avilés-Salas, Liliana C Carrillo, Margarita C Ramírez-Ortega, Roberto Herrera-Goepfert, Rafael Vázquez-Romo, Gabriela Figueroa-González, Javier I Altamirano-García, Luis F Oñate-Ocaña |
Journal | Annals of surgical oncology
(Ann Surg Oncol)
(Mar 23 2022)
ISSN: 1534-4681 [Electronic] United States |
PMID | 35320428
(Publication Type: Journal Article)
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Copyright | © 2022. Society of Surgical Oncology. |