ArticleFrontiers in oncology2021
Clinical Characteristics and Prognosis of Patients With Pulmonary Mucoepidermoid Carcinoma: A SEER-Based Analysis.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The role of neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) in the early diagnosis of pulmonary mucoepidermoid carcinoma and their clinical significance.Journal of medical biochemistry · 2026Article
- A surgical strategy-based nomogram for primary pulmonary mucoepidermoid carcinoma.Discover oncology · 2025Article
- [Clinical Characteristics, MAML2 Gene Rearrangement and Prognosis of Pulmonary Mucoepidermoid Carcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Article
- Primary Pulmonary Endobronchial Mucoepidermoid Carcinoma Treated With Sleeve Resection in a 23-Year-Old Woman: Case Report.Respirology case reports · 2025Article
- Endoscopic resection of bronchial mucoepidermoid carcinoma in a young adult man: A case report and review of literature.World journal of clinical cases · 2022Article
- Pulmonary Salivary Gland Tumor, Mucoepidermoid Carcinoma: A Literature Review.Journal of oncology · 2022Review
- Two Novel Nomograms Predicting the Risk and Prognosis of Pancreatic Cancer Patients With Lung Metastases: A Population-Based Study.Frontiers in public health · 2022Article
- Gene Expression and Mutational Landscape in a PMEC Patient With Low to Intermediate-High Grade Transition.Frontiers in oncology · 2022Article
- Photodynamic therapy for pulmonary mucoepidermoid carcinoma.Respiratory medicine case reports · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary pulmonary mucoepidermoid carcinoma (PMEC) is an extremely rare malignancy. Its clinical characteristics and prognosis are not fully understood. This study evaluated clinical characteristics and prognostic factors of PMEC and established a nomogram to predict its 1-, 3-, 5- and 10-year cancer-specific survival (CSS) rates.
methodsIn the Surveillance, Epidemiology, and End Results database from January 1, 1975 to December 31, 2016, patients pathologically diagnosed with PMEC were identified. Kaplan-Meier analysis and Cox regression were performed to evaluate the CSS stratified by different covariates. A predictive nomogram model was built and validated by the concordance index (C-index) and calibration curves.
resultsA total of 585 PMEC patients were identified. A total of 408 (70%) of patients were placed into the training cohort, and 177 (30%) patients were placed into the validation cohort. The 5- and 10-year CSS rates of stage I-II PMEC patients were 91.4 and 88.9, respectively. The 1-, 3- and 5-year CSS rates of stage III-IV PMEC were 56.5, 39.45, and 32.1%, respectively. Survival curves showed that older age, large tumor size, poor differentiation, and high TNM stage were associated with a significantly worse prognosis. CSS outcomes were significantly better in patients who received surgical treatments (surgical alone, surgery plus radiation and/or chemotherapy). Patients who received radiation and/or chemotherapy had the worst prognosis. Multivariate Cox results revealed that covariates, including age, tumor laterality, tumor sizes, pathological differentiation, lymph node metastasis, distant metastasis, TNM stage and therapy, were independent prognostic factors for PMEC. These factors were used to construct a nomogram. The C-index of the nomogram was 0.921. The calibration curve presented favorable consistency between the predicted CSS and actual observations. This nomogram was validated by the validation cohort. The C-index of the validation cohort was 0.968.
conclusionAge, bilateral tumors, tumor size, pathological differentiation grade, lymph node metastasis, distant metastasis, TNM stage and therapy were independent prognostic factors of PMEC patients. The first nomogram for predicting the CSS of PMEC was built and validated, showing its potential value in practice.
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