1. Elderly patients at higher risk of laryngeal carcinoma recurrence could be identified by a panel of two biomarkers (nm23-H1 and CD105) and pN+ status.
- Author
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Lovato A, Marioni G, Manzato E, Staffieri C, Giacomelli L, Ralli G, Staffieri A, and Blandamura S
- Subjects
- Aged, Aged, 80 and over, Biomarkers, Tumor metabolism, Carcinoma, Squamous Cell pathology, Endoglin, Endothelial Cells metabolism, Female, Humans, Laryngeal Neoplasms pathology, Male, Antigens, CD metabolism, Carcinoma, Squamous Cell metabolism, Laryngeal Neoplasms metabolism, NM23 Nucleoside Diphosphate Kinases metabolism, Neoplasm Recurrence, Local metabolism, Receptors, Cell Surface metabolism
- Abstract
Laryngeal squamous cell carcinoma (LSCC) recurrences are very difficult to manage in elderly patients (age ≥65 years), because treatment carries significant morbidity and mortality. The aim of this study was to develop a panel of parameters (clinicopathological variables or biomarkers) to improve our ability to detect elderly patients at higher risk of LSCC recurrence. Maspin, nm23-H1, and CD105 were investigated using immunohistochemistry on surgical specimens from 46 elderly patients treated for LSCC. After univariate analysis identified parameters associated with LSCC recurrence, a multivariate prognostic model was constructed. At univariate analysis, a higher recurrence rate was significantly associated with nm23-H1 nuclear expression in carcinoma cells ≤2.0% (p = 0.01), CD105 expression in intratumoral vascular endothelial cells ≥5.28% (p = 0.04), and pN+ status (p = 0.04). Multivariate modeling confirmed that nuclear nm23-H1 ≤2.0% (p = 0.009) and CD105 ≥5.28% (p = 0.013) had a negative prognostic significance in terms of disease recurrence, while pN+ status showed a trend toward significance (p = 0.05). We thus obtained a panel comprising two biomarkers and neck lymph node status that revealed an excellent discriminatory power [AUC (ROC) of 0.81] in terms of the risk of LSCC recurrence. The panel achieved a specificity of 96% and a positive predictive value of 93%. We identified a panel with an excellent discriminatory power in identifying elderly patients at higher risk of recurrence after treatment for LSCC. These patients would benefit from a more aggressive primary treatment.
- Published
- 2015
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