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Decreased Tumor Suppressor Candidate 3 Predicts Poor Prognosis of Patients with Esophageal Squamous Cell Carcinoma

TUSC3 was recently identified as a potential tumor suppressor gene in a variety of human malignancies. However, no data are currently available regarding the expressions of TUSC3 in esophageal cancer (ESCC).The purposes of this study was to investigated the expressions of TUSC3 in ESCC tissues and a...

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Detalles Bibliográficos
Autores principales: Yu, Xinshuang, Zhang, Jiandong, Zhong, Hua, Liu, Fengjun, Liang, Ning, Wang, Yao, Meng, Xiangjiao, Du, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5165690/
https://www.ncbi.nlm.nih.gov/pubmed/27994502
http://dx.doi.org/10.7150/ijms.16381
Descripción
Sumario:TUSC3 was recently identified as a potential tumor suppressor gene in a variety of human malignancies. However, no data are currently available regarding the expressions of TUSC3 in esophageal cancer (ESCC).The purposes of this study was to investigated the expressions of TUSC3 in ESCC tissues and assess the relationship between TUSC3 levels and clinico-pathological characteristics of ESCC patients. TUSC3 protein expressions were evaluated by immunohistochemistry (IHC) on tissue microarray slides in esophageal cancer, which included 95 esophageal squamous carcinoma specimens (ESCC), and 75 normal esophageal mucosa (NEM). We found that TUSC3 in ESCC was significant lower than that in NEM (P=0.000). According to multi-clinical classifications, TUSC3 level varied significantly with TNM stage, T stage, and N stage (p<0.001, p=0.0368, p<0.0001, respectively). Univariate analysis showed that gender, TNM stage, T stage, N stage, TUSC3 expression were prognostic factors for survival. Multivariate analysis showed that in our study, only TUSC3 expression was independent prognostic factors for ESCC. Our results indicated for the first time, a combined analysis of TUSC3 expressions as well as the clinical variables will help predict the prognosis of ESCC patients. Further large-sample validation and functional analysis should be performed to evaluate its potential prognostic and therapeutic values for ESCC patients.