Polymorphisms of monocarboxylate transporter genes are associated with clinical outcomes in patients with colorectal cancer

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• 作者：Fei Fei ; Xu Guo ; Yibing Chen ; Xiaonan Liu…
• 关键词：SNPs ; MCTs ; Colorectal cancer ; Clinical outcomes
• 刊名：Journal of Cancer Research and Clinical Oncology
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：141
• 期：6
• 页码：1095-1102
• 全文大小：1,080 KB
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• 作者单位：Fei Fei (1)
  Xu Guo (1) (2)
  Yibing Chen (2)
  Xiaonan Liu (3)
  Jianfei Tu (4)
  Jinliang Xing (2)
  Zhinan Chen (1)
  Jiansong Ji (4)
  Xianli He (5)
  
  1. State Key Laboratory of Cancer Biology, Cell Engineering Research Center, Department of Cell Biology, Fourth Military Medical University, Xi’an, 710032, China
  2. State Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University, Xi’an, 710032, China
  3. Xijing Hospital of Digestive Disease, Fourth Military Medical University, Xi’an, 710032, China
  4. Department of Interventional Radiology, Zhejiang University Lishui Hospital, Lishui Center Hospital, Lishui, 323000, China
  5. Department of General Surgery, Tangdu Hospital, Fourth Military Medical University, 169 West Changle Street, Xi’an, 710032, China
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Oncology
  Cancer Research
  Internal Medicine
  Hematology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1335

文摘

Purpose Previous studies have demonstrated that monocarboxylate transporters (MCTs) play important roles in the development and progression of many cancers. The purpose of this study was to assess the effects of single-nucleotide polymorphisms (SNPs) of MCT genes on prognosis of colorectal cancer (CRC) patients. Patients and methods Nine functional SNPs in three MCT genes (MCT1, MCT2 and MCT4) were selected and genotyped using Sequenom iPLEX genotyping system in 697 Chinese CRC patients receiving surgery. Multivariate Cox proportional hazards model and Kaplan–Meier curve were used for the prognostic analysis. Results One SNP (MCT1: rs1049434/exon) was significantly associated with overall survival of CRC patients (HR 0.74; P?=?0.046). Two other SNPs (MCT1: rs60844753/5-near gene and MCT2: rs995343/intron) exhibited associations with recurrence-free survival of CRC patients (HR 0.67; P?=?0.078 and HR 0.74; P?=?0.036, respectively). Our study also showed that MCT1 rs1049434, rs60844753 and MCT2 rs995343 SNPs had a cumulative effect on CRC recurrence-free survival (P for trend 0.011). Those who carrying three unfavorable genotypes (WW for all SNPs) had a 2.06-fold increased risk of recurrence compared with patients carrying no unfavorable genotypes (P?=?0.016). Moreover, we found that patients carrying no <2 risk genotypes showed significant OS and RFS benefits from adjuvant chemotherapy. Conclusions Our findings suggest that SNPs in MCT1 and MCT2 genes may affect clinical outcomes and can be used to predict the response to adjuvant chemotherapy in CRC patients who received surgical treatment once validated in future study.