Relation between prognosis and expression of metastasis-associated protein 1 in stage I non-small cell lung cancer

14Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Metastasis-associated protein 1 (MTA1 protein) has been reported to be correlated with the biological behavior and prognosis of several malignant carcinomas. We hypothesized that stage I non-small cell lung cancer (NSCLC) patients with MTA1 protein overexpression would be more likely to have a poor prognosis. Therefore, we tested the expression of MTA1 protein in 60 stage I NSCLC and 30 paracarcinous normal lung tissues using the streptavidin-perosidase method. The Kaplan-Meier method was used to calculate the survival rate, and Cox regression analysis was performed to identify prognostic risk factors. MTA1 protein overexpression was detected in 22 stage I NSCLC tissues in this study. Tumor differentiation and tumor diameter were significantly associated with MTA1 protein overexpression, while not correlated with age, sex, pathological type or smoking status. The five-year survival rate of patients with MTA1 protein overexpression was significantly lower than that of those without expression (40.9% vs. 84.1%; P<0.001). The results of multivariate analysis confirmed that MTA1 protein overexpression was an independent prognostic factor (risk ratio=5.23, P=0.007). These findings demonstrated MTA1 might be a prognostic factor in NSCLC. © 2011 Published by European Association for Cardio-Thoracic Surgery. All rights reserved.

Cite

CITATION STYLE

APA

Yu, Y., Wang, Z., Zhang, M. Y., Liu, X. Y., & Zhang, H. (2011). Relation between prognosis and expression of metastasis-associated protein 1 in stage I non-small cell lung cancer. Interactive Cardiovascular and Thoracic Surgery, 12(2), 166–169. https://doi.org/10.1510/icvts.2010.243741

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free