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American Association for Cancer Research, Clinical Cancer Research, 21(16), p. 5211-5221, 2010

DOI: 10.1158/1078-0432.ccr-10-1521

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Patterns of Expression of DNA Repair Genes and Relapse From Melanoma

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract Purpose: To use gene expression profiling of formalin-fixed primary melanoma samples to detect expression patterns that are predictive of relapse and response to chemotherapy. Experimental Design: Gene expression profiles were identified in samples from two studies (472 tumors). Gene expression data for 502 cancer-related genes from these studies were combined for analysis. Results: Increased expression of DNA repair genes most strongly predicted relapse and was associated with thicker tumors. Increased expression of RAD51 was the most predictive of relapse-free survival in unadjusted analysis (hazard ratio, 2.98; P = 8.80 × 10−6). RAD52 (hazard ratio, 4.73; P = 0.0004) and TOP2A (hazard ratio, 3.06; P = 0.009) were independent predictors of relapse-free survival in multivariable analysis. These associations persisted when the analysis was further adjusted for demographic and histologic features of prognostic importance (RAD52 P = 0.01; TOP2A P = 0.02). Using principal component analysis, expression of DNA repair genes was summarized into one variable. Genes whose expression correlated with this variable were predominantly associated with the cell cycle and DNA repair. In 42 patients treated with chemotherapy, DNA repair gene expression was greater in tumors from patients who progressed on treatment. Further data supportive of a role for increased expression of DNA repair genes as predictive biomarkers are reported, which were generated using multiplex PCR. Conclusions: Overexpression of DNA repair genes (predominantly those involved in double-strand break repair) was associated with relapse. These data support the hypothesis that melanoma progression requires maintenance of genetic stability and give insight into mechanisms of melanoma drug resistance and potential therapies. Clin Cancer Res; 16(21); 5211–21. ©2010 AACR.