XRCC1 R399Q polymorphism is associated with response to platinum-based neoadjuvant chemotherapy in bulky cervical cancer

  • Hyun Hoon Chung
  • , Mi Kyung Kim
  • , Jae Weon Kim
  • , Noh Hyun Park
  • , Yong Sang Song
  • , Soon Beom Kang
  • , Hyo Pyo Lee

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Objectives.: The aim of the study was to assess whether the genetic polymorphisms were associated with the tumor response in patients treated with platinum-based neoadjuvant chemotherapy (NAC) for bulky cervical cancer. Methods.: We retrospectively reviewed the clinical data and recruited paraffin-embedded, formalin-fixed tissues of 36 patients with bulky cervical carcinoma. All patients underwent two or three cycles of platinum-based NAC followed by radical hysterectomy. We determined the genotypes of each single nucleotide polymorphism (SNP) of ERCC1, ERCC2, GGH, GSTP1, MTHFR, SLC19A1 and XRCC1 using single base primer extension assay. Results.: The response to platinum-based NAC was higher in patients with SNP of XRCC1 R399Q (P = 0.015), and there was a significant increased chance of treatment response in women with the G/G genotype (OR 38.0; 95% CI 1.66-870.45; P = 0.023). The probability of response was also higher in patients with SNP of SLC19A1 6318C/T (P = 0.032). There were dose-dependent influence of the number of alleles on the response to platinum-based chemotherapy (χ2 test for linear-by-linear association; P = 0.009 for XRCC1 R399Q and P = 0.017 for SLC19A1 6318C/T, respectively). Moreover, the multifactor dimensionality reduction (MDR) analysis documented that the combinations of XRCC1 R399Q and GGH-401C/T genetic polymorphisms were significantly associated with response to chemotherapy (P < 0.0001). Conclusions.: Genetic polymorphism of XRCC1 R399Q is associated with response to platinum-based NAC in bulky cervical cancer, and MDR analysis documented association between gene-gene interaction of XRCC1 R399Q and treatment response.

Original languageEnglish
Pages (from-to)1031-1037
Number of pages7
JournalGynecologic Oncology
Volume103
Issue number3
DOIs
StatePublished - Dec 2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • MDR analysis
  • Neoadjuvant chemotherapy
  • Polymorphism
  • Response
  • XRCC1

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