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This article is part of the supplement: 24th Annual Meeting of the National Cancer Institute of Mexico

Open Access Meeting abstract

Prediction of the recurrence probability in patients with parotid gland cancer

Rafael Vazquez-Romo3*, Jose Carrillo1, Roberto Herrera-Goepfert2, Ana Cano2, Margarita Ramirez-Ortega1 and Luis F Oñate-Ocaña3

Author Affiliations

1 Department of Head and Neck Surgery, INCAN, Mexico

2 Department of Pathology, INCAN, Mexico

3 Department of Gastroenterology, INCAN, Mexico

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BMC Cancer 2007, 7(Suppl 1):A13  doi:10.1186/1471-2407-7-S1-A13

The electronic version of this article is the complete one and can be found online at:

Published:5 February 2007

© 2007 Vazquez-Romo et al; licensee BioMed Central Ltd.


Parotid gland carcinoma is an infrequent tumor, and series which report on these neoplasms are relatively scarce in the literature. Our aim is to identify prognostic factors in parotid gland carcinoma and develop a method to define the probability of recurrence.

Materials and methods

Patients with parotid gland carcinoma who attended our institution from January1981 to December 2004 and completed treatment constitute our study group. Disease-free survival was calculated using the Kaplan-Meier method. Logistic regression analysis was used to define the prognostic factors associated to recurrence.


One-hundred and twenty seven patients were included (64 male and 63 female). Mean age was 53 years. Mucoepidermoid carcinoma was found in 34.6%, adenoid cystic 15.7%, adenocarcinoma 14.3% and acinic cell carcinoma 9.4%. Median disease-free survival was 8.3 years (95% CI 4.3–12.2). Logistic regression analysis confirmed that T classification, facial nerve palsy, differentiation grade, age and surgical margins as factors associated to recurrence (p < 0.00001). Using this model, we defined three postoperative risk groups: high, intermediate and low risk with recurrence frequency of 71.4%, 43.1% and 8.8%, respectively (p = 0.0001). Five-year disease-free survival for these groups were 18.7%, 53.9% and 99.9%, respectively (p = 0.00001).


Our study identifies several significant prognostic factors. Consequently, a prognostic score categorization is proposed, which allows a straightforward calculation of the recurrence risk for a given case, to define therapeutic strategies, for counseling of patient and to design future trials.