Abstract:
Background:Mucoepidermoid carcinoma (MEC) is a common cancer in the oral salivary gland malignancy, which mainly occurs in the parotid gland. The aim of this study is to identify independent prognostic factors and establish a nomogram model for parotid gland mucoepidermoid carcinoma (P-MEC) patients using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database. Method:Patients with P-MEC were selected from between 2004 and 2015. The overall survival (OS) and cancer-specific survival (CSS) rates were estimated using the Kaplan-Meier method with the log-rank test. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify the independent prognostic factors. Results:A total of 1,306 patients with P-MEC were enrolled. Age, grade, T stage, N stage, M stage, chemotherapy, and surgery type were independent prognostic factors for OS and CSS. A nomogram for OS was formulated based on these independent prognostic factors and validated using an internal bootstrap resampling approach, which showed that the nomogram exhibited a sufficient level of discrimination according to the C-index (0.877, 95% CI [0.855-0.898]). Conclusion:Several prognostic factors for P-MEC were identified. The nomogram developed in this study accurately predicted the 5- and 10-year OS rates of American patients with P-MEC based on individual characteristics. Risk stratification using the survival nomogram can optimize individual therapies and follow-up.
journal_name
PeerJjournal_title
PeerJauthors
Sun J,Sun Y,Yang F,Zhou Q,Liu W,Cheng Y,Wu X,Chen T,Li R,Huang B,Att W,Yu Y,Bi Wdoi
10.7717/peerj.7237subject
Has Abstractpub_date
2019-07-01 00:00:00pages
e7237issn
2167-8359pii
7237journal_volume
7pub_type
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