OBJECTIVE/HYPOTHESIS: Acinic cell carcinoma (AciCC) is a rare salivary gland malignancy that most commonly arises in the parotid gland. Characteristics of AciCC are slow growth and a long clinical course. As a rare tumor, population-based studies are limited. We analyzed the incidence and survival for AciCC using a national population-based database. STUDY DESIGN: Retrospective analysis. METHODS: The United States National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) registry was utilized to calculate incidence and disease-specific survival trends for AciCC between 1973 and 2009. Patient data were stratified according to age, gender, race, grade, and extent of disease. Incidence trends were studied across the last 30 years and long-term disease-specific survival outcomes were compared across the different demographic parameters. RESULTS: A total of 1,129 cases of AciCC were identified, comprising of 672 (59.52%) females. Incidence trend analysis revealed significant changes in yearly incidence rates from 1973 to 2009 for male gender and white and "others" races. Overall 5-year survival was 97.15%, 10-year survival was 93.81%, and 20-year survival was 89.74%. Significant differences in survival outcomes were noted for extent of disease. Patients exhibiting distant metastasis displayed the worse long-term prognosis at 21.99% 20-year disease-specific survival. Hazard ratios demonstrated a significant increase in mortality in patients with poorly differentiated, undifferentiated, and metastatic disease. CONCLUSION: Trends in incidence of AciCC are influenced by gender, race and age. Long-term survival of this rare malignant tumor is influenced by gender, grade, race, and extent of disease. Future studies need to be conducted to investigate these dynamic trends related to AciCC.
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.