Features of potentially predictive biomarkers of chemotherapeutic efficacy in small cell lung cancer

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Abstract

INTRODUCTION:: One-size-fits-all chemotherapy does not improve survival in patients with small cell lung cancer (SCLC). Excision repair cross-complementing group 1 (ERCC1), ribonucleotide reductase 1 (RRM1), thymidylate synthase (TS), and topoisomerase 2α (Topo2α) expression levels are predictive of chemotherapeutic efficacy in some malignancies. Our aim was to determine the expression levels of these proteins to assess their potential clinical utility in SCLC. METHODS:: We used an immunofluorescence-based automated quantitative technique to score RRM1, ERCC1, TS, and Topo2α levels in tumor specimens from 100 patients with SCLC and immunohistochemistry to semiquantitatively score levels of TS, 5-phosphoribosyl-glycinamide formyl-transferase, and folyl-polyglutamate synthase expression. Confocal microscopy was used for subcellular localization in SCLC cells. RESULTS:: RRM1, ERCC1, and Topo2α staining was predominantly nuclear and TS mainly cytoplasmic. Using immunohistochemistry, we found that TS (antibody 106) and TS (antibody 4H4) scores were strongly correlated (r = 0.82, p < 0.0001). By automated quantitative technique, RRM1 and Topo2α levels were highly correlated (r = 0.56, p < 0.0001). ERCC1 and TS levels had a narrow and low range of expression. There was no correlation between any of these biomarkers and patients age or sex. CONCLUSION:: Considering this clinical evidence, expression levels of RRM1 and Topo2α may have utility for chemotherapy customization. Clinical validation of their predictive power is desirable in a prospective clinical trial. Copyright © 2010 by the International Association for the Study of Lung.

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APA

Chiappori, A. A., Zheng, Z., Chen, T., Rawal, B., Schell, M. J., Mullaney, B. P., & Bepler, G. (2010). Features of potentially predictive biomarkers of chemotherapeutic efficacy in small cell lung cancer. Journal of Thoracic Oncology, 5(4), 484–490. https://doi.org/10.1097/JTO.0b013e3181ccb27b

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