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Polymorphisms in ERCC1 gene could predict clinical outcome of platinum-based chemotherapy for non-small cell lung cancer patients

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Tumor Biology

Abstract

We analyzed the role of three common single-nucleotide polymorphisms (SNPs) of ERCC1 in predicting the tumor responses and the survival of non-small cell lung cancer (NSCLC) patients who received platinum-based chemotherapy. One hundred ninety-two patients who were identified as stage IV or IIIB/A NSCLC were collected between January 2008 and December 2009. ERCC1 rs11615, rs3212986, and rs2298881 were selected and genotyped by MassARRAY® Analyzer 4 system. One hundred three (53.65 %) patients showed a CR and PR to chemotherapy, and 81 (42.19 %) patients died from NSCLC with the median OS of 35.82 ± 15.19 months. Multivariate regression analysis showed that rs11615 TT genotype and T allele were associated with optimal response to chemotherapy, and rs3212986 AA and A allele were correlated with better response to chemotherapy. Cox regression showed that patients carrying the rs11615 TT genotype and T allele and the rs3212986 AA genotype and A allele were significantly associated with higher risk of death from NSCLC. In conclusion, ERCC1 rs11615 and rs3212986 polymorphism were associated with a poor response to chemotherapy and shorter survival time of advanced NSCLC. ERCC1 rs11615 and rs3212986 polymorphisms may be helpful for designing individualized cancer treatment for NSCLC patients.

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Acknowledgments

We thank the great help from staffs in the First Affiliated Hospital of Xinxiang Medical University.

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Authors and Affiliations

  1. Department of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Wei Hui, 453100, China

    Xin Zhao, Zhiqiang Zhang & Xiaomei Yuan

  2. Department of Neurology, The First Affiliated Hospital of Xinxiang Medical University, Wei Hui, 453100, China

    Yan Yuan

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  1. Xin Zhao
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  2. Zhiqiang Zhang
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  4. Xiaomei Yuan
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Correspondence to Xin Zhao.

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Zhao, X., Zhang, Z., Yuan, Y. et al. Polymorphisms in ERCC1 gene could predict clinical outcome of platinum-based chemotherapy for non-small cell lung cancer patients. Tumor Biol. 35, 8335–8341 (2014). https://doi.org/10.1007/s13277-014-2033-7

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  • DOI: https://doi.org/10.1007/s13277-014-2033-7

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