Associations between Single Nucleotide Polymorphisms in the Mitochondrial DNA D-Loop Region and Outcome of Gastroenteropancreatic Neuroendocrine Neoplasm

被引:2
作者
Er, Li-Mian [1 ]
Li, Yong [2 ]
Er, Li [3 ]
Wu, MingLi [1 ]
Zheng, Xiu-li [1 ]
Guo, Zhan-jun [1 ]
Yuan, Hu-Fang [2 ]
机构
[1] Hebei Med Univ, Dept Endoscopy, Hosp 4, 12 Jian Kang Rd, Shijiazhuang 050011, Hebei, Peoples R China
[2] Hebei Med Univ, Hosp 4, Dept Surg 3, Shijiazhuang, Hebei, Peoples R China
[3] Youhao Hosp Yangzhou, Dept ICU, Yangzhou, Jiangsu, Peoples R China
关键词
Gastroenteropancreatic neuroendocrine neoplasm; SNPs; D-loop; mtDNA; Survival; NON-HODGKIN-LYMPHOMA; SEQUENCE POLYMORPHISMS; PROGNOSTIC-FACTORS; DISPLACEMENT LOOP; LUNG-CANCER; RISK-FACTOR; MUTATIONS; TUMORS; IDENTIFICATION;
D O I
暂无
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Accumulation of single-nucleotide polymorphisms (SNPs) in the displacement loop (D-loop) of mitochondrial DNA (mtDNA) may be associated with cancer risk and disease outcome. We evaluated the predictive value of these SNPs for GEP-NEN outcome. Three SNP sites of nucleotides16257C/A, 150C/T and 151C/Tdel were identified for statistically significant prediction of postoperative survival in GEP-NEN by univariate analysis with log-rank test. In addition, the minor haplotype of nucleotides 16257A in the hypervariable segment 1(HV1) region of the D-loop was identified for their association with lower survival rate of GEP-NEN (relative risk, 3.390; 95% CI, 1.071 similar to 10.729; p=0.038) by multivariate analysis with COX hazards model. The analysis of genetic polymorphisms in the mitochondrial D-loop can help identify patient subgroups with a high risk of GEP-NEN outcome.
引用
收藏
页码:333 / 337
页数:5
相关论文
共 31 条
  • [31] Single nucleotide polymorphisms in the mitochondrial displacement loop and outcome of esophageal squamous cell carcinoma
    Zhang, Ruixing
    Wang, Rui
    Zhang, Fengbin
    Wu, Chensi
    Fan, Haiyan
    Li, Yan
    Wang, Cuiju
    Guo, Zhanjun
    [J]. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2010, 29