Predictors of distant metastasis in parotid acinic cell carcinoma

31Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Distant metastasis (DM) is a common treatment failure pattern in acinic cell carcinoma (AciCC) of the major salivary glands; therefore, the main goal of this study was to analyse the predictors of DM in parotid AciCC. Methods: Consecutive patients with surgically treated parotid AciCC who were followed for at least 5 years were retrospectively reviewed. Data regarding age, sex, TNM stage, pathologic characteristics, surgical treatment, and follow-up examinations were collected and analysed. The primary end-point was DM control (DMC); the DMC survival was calculated from the date of surgery to the date of event or the latest follow-up examination and analysed by the Kaplan-Meier method. Independent prognostic factors were evaluated by the Cox proportional hazards method. Results: A total of 144 patients were included. Positive intraparotid nodes (IPNs) were noted in 34 (31.8%) patients. High-grade transformation was noted in 12 (8.3%) patients. A total of 83 (57.6%) patients underwent neck dissection, and neck node metastasis was proven in 37 (44.6%, 37/83) patients. The 10-year DMC rate was 86%. The Cox model analysis confirmed IPN metastasis (1.854 [1.061-4.144], p = 0.011) and high-grade transformation (4.219 [1.948-15.553], p < 0.001) as independent predictive factors of the DMC survival. Conclusion: IPN metastasis and high-grade transformation are independent prognostic factors of the DMC survival.

Cite

CITATION STYLE

APA

Fang, Q., Wu, J., Du, W., & Zhang, X. (2019). Predictors of distant metastasis in parotid acinic cell carcinoma. BMC Cancer, 19(1). https://doi.org/10.1186/s12885-019-5711-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free