Khorshidi Hamid Reza, Taheri Mohammad, Noroozi Rezvan, Sarrafzadeh Shaghayegh, Sayad Arezou, Ghafouri-Fard Soudeh
Department of Surgery, Hamadan University of Medical Sciences, Hamadan, Iran.
Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Cell J. 2017 Spring;19(Suppl 1):72-78. doi: 10.22074/cellj.2017.4496. Epub 2017 May 17.
The genetic variants of the long non-coding RNA (an antisense noncoding RNA in the INK4 locus) as well as its expression have been shown to be associated with several human diseases including cancers. The aim of this study was to examine the association of variants with breast cancer susceptibility in Iranian patients.
In this case-control study, we genotyped rs1333045, rs4977574, rs1333048 and rs10757278 single nucleotide polymorphisms (SNPs) in 122 breast can- cer patients as well as in 200 normal age-matched subjects by tetra-primer amplification refractory mutation system polymerase chain reaction (T-ARMS-PCR).
The TT genotype at rs1333045 was significantly over-represented among pa- tients (P=0.038) but did not remain significant after multiple-testing correction. In addi- tion, among all observed haplotypes (with SNP order of rs1333045, rs1333048 rs4977574 and rs10757278), four haplotypes were shown to be associated with breast cancer risk. However, after multiple testing corrections, TCGA was the only haplotype which remained significant.
These results suggest that breast cancer risk is significantly associated with variants. Future work analyzing the expression of different associated haplotypes would further shed light on the role of in this disease.
长链非编码RNA(INK4基因座中的反义非编码RNA)的基因变异及其表达已被证明与包括癌症在内的多种人类疾病相关。本研究的目的是检测伊朗患者中该变异与乳腺癌易感性的关联。
在这项病例对照研究中,我们采用四引物扩增阻滞突变系统聚合酶链反应(T-ARMS-PCR)对122例乳腺癌患者以及200例年龄匹配的正常受试者的rs1333045、rs4977574、rs1333048和rs10757278单核苷酸多态性(SNP)进行基因分型。
rs1333045位点的TT基因型在患者中显著过度出现(P = 0.038),但在多重检验校正后不再显著。此外,在所有观察到的单倍型(SNP顺序为rs1333045、rs1333048、rs4977574和rs10757278)中,有四种单倍型与乳腺癌风险相关。然而,经过多重检验校正后,TCGA是唯一仍具有显著性的单倍型。
这些结果表明乳腺癌风险与该变异显著相关。未来分析不同相关单倍型表达的工作将进一步阐明其在该疾病中的作用。