Prediction of Bacillus Calmette-Guerin Response in Patients with Bladder Cancer after Transurethral Resection of Bladder Tumor by Using Genetic Variation Based on Genomic Studies.

Prediction of Bacillus Calmette-Guerin Response in Patients with Bladder Cancer after Transurethral Resection of Bladder Tumor by Using Genetic Variation Based on Genomic Studies.
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基于基因组研究的遗传变异预测膀胱癌患者经尿道膀胱肿瘤切除术后卡介苗反应

DOI:
10.1155/2016/9859021
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发表时间:
2016
影响因子:
--
通讯作者:
Xu J
Xu J
中科院分区:
生物学3区
文献类型:
--
作者:
Zhang N;Jiang G;Liu X;Na R;Wang X;Xu J

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目的。我们旨在全面回顾与预测经尿道膀胱肿瘤切除术后卡介苗(Bacillus calmetet - guerin, BCG)反应相关的遗传和表观遗传生物标志物的当代文献,并讨论这些生物标志物在膀胱癌精准癌症护理中的应用。方法。我们以膀胱癌、卡介苗、基因和甲基化为关键词,对PubMed和Embase数据库中已发表的文献进行了系统综述。排除了与细胞系、动物模型和肌肉浸润性膀胱癌相关的研究。结果。与卡介苗应答相关的遗传变异可分为三类:种系变异、体细胞变异和表观遗传变异。与卡介苗应答相关的基因主要涉及单核苷酸多态性、拷贝数变异和基因甲基化。结论。虽然这些基因改变是目前最有希望预测卡介苗应答的标志物,但大多数关于膀胱癌DNA生物标志物的研究都与候选基因的种系变异有关,结果并不一致。只有一项研究与体细胞变异有关,需要在大规模验证研究中进行进一步评估,以评估这些发现的潜在临床应用。此外,在未来的研究中,还应考虑基于不同“组学”技术的其他生物标志物。
Purpose. We aimed to comprehensively review contemporary literature on genetic and epigenetic biomarkers associated with the prediction of Bacillus Calmette-Guerin (BCG) response after the transurethral resection of a bladder tumor and to discuss the application of these biomarkers in precision cancer care for bladder cancer. Method. We performed a systematic review of published literatures in the databases PubMed and Embase by using the following key words: bladder cancer, BCG, gene, and methylation. Studies associated with cell lines, animal models, and muscle invasive bladder cancer were excluded. Results. The genetic variations associated with BCG response can be classified into three categories: germline variations, somatic variations, and epigenetic alterations. Genes related to BCG response were mainly involved in single-nucleotide polymorphisms, copy number variations, and gene methylations. Conclusions. Although these gene alterations are currently the most promising predictive markers of BCG response, most studies about bladder cancer DNA biomarkers are related to germline variations in candidate genes, and the results are not consistent. Only one study is related to somatic variation, and further evaluation in large-scale validation studies should be conducted to assess the potential clinical application of these findings. In addition, other biomarkers based on different “–omics” technologies should be considered in future studies.
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