Verma Archana, Kapoor Rakesh, Mittal Rama Devi
Department of Urology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow, Uttar Pradesh 226014 India.
Indian J Clin Biochem. 2017 Jul;32(3):292-300. doi: 10.1007/s12291-016-0606-5. Epub 2016 Aug 26.
Adhesion molecules play a key role in cancer progression and tumorigenesis. Genetic polymorphism of adhesion molecules may alter the normal functioning thereby leading to bladder cancer susceptibility. Hence we aimed to evaluate three SNPs of gene and in bladder cancer patients and normal controls of North Indian population. A total of 270 healthy controls and 240 confirmed bladder cancer patients were recruited for this study. Three SNPs of gene viz. and were selected for this study. and were genotyped by Taqman allelic discrimination assay and was genotyped by PCR-RFLP. The statistical analysis was done using the SPSS software, version 16.0 (SPSS, Chicago, IL), and < 0.05 was considered statistically significant. Haplotypic analysis was done by using SNP analyzer version 1.2A. and showed significant association with reduced risk in bladder cancer while showed significant high risk along with association at genotypic and allelic levels. Haplotypic analysis showed 1.8-folds risk in CCG combination, whereas CTA and TCG showed significant association with reduced risk. Further stratification on the basis of smoking, tumor grade/stage and BGC therapy revealed no association of these three polymorphic sites of . Our study suggests that and are predictive for the reduced risk of bladder cancer, whereas had shown significant association with high risk of bladder cancer in North Indians. This somehow suggests that can be used as a marker for risk prediction of bladder cancer.
黏附分子在癌症进展和肿瘤发生中起关键作用。黏附分子的基因多态性可能改变其正常功能,从而导致膀胱癌易感性。因此,我们旨在评估印度北部人群膀胱癌患者和正常对照中该基因的三个单核苷酸多态性(SNP)。本研究共招募了270名健康对照和240名确诊的膀胱癌患者。本研究选择了该基因的三个SNP,即[具体名称1]、[具体名称2]和[具体名称3]。[具体名称1]和[具体名称2]通过Taqman等位基因鉴别分析进行基因分型,[具体名称3]通过聚合酶链反应-限制性片段长度多态性(PCR-RFLP)进行基因分型。使用SPSS软件16.0版(SPSS,芝加哥,伊利诺伊州)进行统计分析,P<0.05被认为具有统计学意义。使用SNP分析仪1.2A版进行单倍型分析。[具体名称1]和[具体名称2]显示与膀胱癌风险降低显著相关,而[具体名称3]在基因型和等位基因水平均显示出显著的高风险。单倍型分析显示CCG组合的风险为1.8倍,而CTA和TCG显示与风险降低显著相关。根据吸烟、肿瘤分级/分期和卡介苗(BCG)治疗进一步分层显示,这三个多态性位点与[基因名称]无关联。我们的研究表明,[具体名称1]和[具体名称2]可预测膀胱癌风险降低,而[具体名称3]在印度北部人群中显示与膀胱癌高风险显著相关。这在某种程度上表明,[具体名称3]可作为膀胱癌风险预测的标志物。