Por favor, use este identificador para citar o enlazar este ítem: DOI: 10.14670/HH-18-084

Título: High expression of GPNMB predicts poor prognosis in head and neck squamous cell carcinoma
Fecha de publicación: 2019
Editorial: Universidad de Murcia. Departamento de Biología Celular e Histología
Cita bibliográfica: Histology and Histopathology, Vol.34, nº7, (2019)
ISSN: 1699-5848
0213-3911
Materias relacionadas: CDU::6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología
Palabras clave: GPNMB
Head and neck squamous cell carcinoma
Prognosis
TNM staging
Resumen: Glycoprotein non-metastatic protein B (GPNMB) is a transmembrane glycoprotein that is highly expressed in several malignancies compared with its expression in matched healthy tissues. The aim of this study was to investigate the clinical characteristics and prognostic value of GPNMB expression in tumor tissue derived from a cohort of patients with head and neck squamous cell carcinoma (HNSCC). GPNMB expression in human HNSCC, oral dysplasia and normal mucosal tissue was evaluated by immunohistochemistry (IHC). The correlations of GPNMB expression with the clinical characteristics of HNSCC were assessed by oneway ANOVA and t test analyses. Survival data were analyzed using Kaplan-Meier analysis and the Cox proportional hazards model. GPNMB was highly expressed in HNSCC tissue compared with dysplasia and normal mucosal tissue. Additionally, a high level of GPNMB expression in HNSCC was associated with poor prognosis (P<0.01). In the analysis of tumor-nodemetastasis (TNM) staging, a high GPNMB expression level in HNSCC tissue, as well as metastatic lymph node tissue, correlated with an advanced N stage. In conclusion, GPNMB was overexpressed in human HNSCC tissue and predicted poor prognosis in human HNSCC tissue. In addition, GPNMB expression was closely correlated with N stage in patients with HNSCC.
Autor/es principal/es: Li, Hao
Xiao, Yao
Wu, Cong Cong
Yang, Lei Lei
Cao, Ling Yun
Chen, De Run
Zhou, Jun Jie
Zhang, Wen Feng
Sun, Zhi Jun
URI: http://hdl.handle.net/10201/122130
DOI: DOI: 10.14670/HH-18-084
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 8
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Aparece en las colecciones:Vol.34, nº7 (2019)

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