2021 The Laryngoscope

A Population-Based Analysis of Mucoepidermoid Carcinoma of the Oral Cavity.

, ,

The Laryngoscope Vol. 131 (3) : E857-E863 • Mar 2021

OBJECTIVES: To identify survival outcomes for patients with mucoepidermoid carcinoma (MEC) of the oral cavity and the effects of different prognostic factors on survival. STUDY DESIGN: Retrospective cohort study using a national database. METHODS: Retrospective, population-based cohort study of patients in the Surveillance, Epidemiology and End Results (SEER) database who were diagnosed with MEC of the oral cavity from 1973 to 2016. Overall survival (OS) and disease-specific survival (DSS) were calculated. RESULTS: A total of 1693 patients with MEC of the oral cavity were included. Of those, there are 696 males and 997 females, the average age at diagnosis being 52.4 years. The vast majority of cases (86.4%) presented with stage I and stage II disease. A total of 206 patients had received both surgical and radiation therapy (RT), while 1338 patients just had undergone only surgery and 149 with no treatment. On multivariate analysis, advanced age, stage, and histologic grade were associated with worse OS and DSS. Surgical therapy was an independent favorable predictor of OS and DSS. For radiotherapy, multivariate analysis showed that it was associated with worse DSS, whereas there was no significant difference in OS. CONCLUSION: MEC of the oral cavity is associated with a generally favorable prognosis. Advanced age, stage, and histologic grade were independent negative prognostic factors for survival, and surgery was the main treatment to improve survival. LEVEL OF EVIDENCE: 4 Laryngoscope, 131:E857-E863, 2021.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.