Expression and prognostic significance of ERCC1, RRM1, and BRCA1 mRNA in non-small cell lung cancer
- Author:
Qin CHEN
1
Author Information
1. Department of Oncology
- Publication Type:Journal Article
- Keywords:
Carcinoma, non-small cell lung;
DNA repair enzymes;
ERCC1, RRM1, BRCA1;
Gene expression;
Prognosis
- From:
Tumor
2007;27(9):719-722
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigated the expressions of ERCC1, RRM1 and BRCA1 (members of DNA repair gene family) in patients with non-small cell lung cancer (NSCLC) as well as their clinical prognostic significance. Methods: Expression levels of ERCC1, RRM1 and BRCA1 were detected by real-time PCR method in 32 NSCLC patients and 16 cases of adjacent normal lung tissues. Wilcoxon signed-rank test, Wilcoxon rank sum test, rank correlation, Kaplan-Meier survival curve, and COX multivariate regression analysis were used for statistical analysis. Results: The expression levels of ERCC1, RRM1 and BRCA1 were significantly higher in lung cancer tissues than that in adjacent normal lung tissues. There were significant correlations between intratumoral expression of ERCC1, RRM1, and BRCA1. RRM1 expression level was significantly higher in lung squamous cell carcinomas compared with lung adenocarcinomas but had no difference between different clinical stages. The expression of ERCC1 and BRCA1 had no difference between different pathological classification and clinical TNM stages. The patients with high expression of RRM1 and BRCA1 had significant longer survival time than those with low expression of RRM1 and BRCA1. COX multivariate regression analysis showed that expression of RRM1 was an independent prognostic factor for NSCLC. Conclusion: The expression levels of ERCCI, RRM1, and BRCA1 are significantly higher in lung cancer tissues than that of adjacent normal lung tissues. The patients with high expression of RRM1 and BRCA1 had significant longer survival time than those with low expression of RRM1 and BRCA1. RRM1 and BRCA1 mRNA expressions can be used to predict prognosis of NSCLC.
