A Combined Prediction Model for Lymph Node Metastasis Based on a Molecular Panel and Clinicopathological Factors in Oral Squamous Cell Carcinoma

• DOI: 10.3389/fonc.2021.660615
• Publication Date: 2021-04-22T06:30:39Z
• Authors: Shu Wang; Tiancheng Li; Huan Liu; Wei Wei; Yang Yang; Chong Wang; Bo Li; Zhengxue Han; Zhien Feng
• Keywords: T-stage

Objective Lymph node metastasis is the most important factor influencing prognosis of oral squamous cell carcinoma (OSCC) patients. However, there no proper method for predicting lymph metastasis. This study aimed to construct and validate a preoperative prediction model guide personalized neck management based on gene expression profile clinicopathological parameters OSCC. Methods Based previous related genes in OSCC, mRNA candidate was evaluated by real-time PCR OSCC specimens. In this retrospective study, 112 patients were combined best The validated with 95 samples study. Logistic regression analysis used. area under curve (AUC) ultimately determined diagnostic value model. Results two CDKN2A + PLAU closely carcinoma. combination CDKN2A, PLAU, T stage pathological grade (AUC = 0.807, 95% CI: 0.713-0.881, P=0.0001). had specificity 96% sensitivity 72.73% T1 T2 0.855, 0.697-0.949, Conclusions High associated including can be used as