膀胱癌的遗传流行病学:扩大膀胱癌风险和进展的低外显率遗传标记的鉴定。

Núria Malats
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引用次数: 20

摘要

膀胱癌是一个日益重要的国际公共卫生问题。作为一种多因素疾病,环境和遗传因素都参与其发生和发展。这种肿瘤是低外显率遗传变异(GSTM1-null和NAT2-slow)参与的典范,并提供了癌症(NAT2-slow *烟草)中最成熟的基因-环境相互作用。核苷酸切除和DNA双链断裂修复途径的遗传变异提供了有希望的结果,ERCC2-XPD rs238406是与膀胱癌风险增加相关的最一致的变异,其本身以及与烟草相互作用。其他途径的变异,如细胞周期控制、1-C代谢和炎症,已经被研究过,尽管结果不一致。三个非常大的全基因组关联研究正在使用相同的基因分型平台进行。他们的结果将很快公布。在这种肿瘤中,遗传变异很少被认为是预后或治疗反应的标志。这些研究的结果尚无定论。其他需要解决的问题是遗传变异在不同人群亚群中的作用——由种族、性别和年龄等定义——以及根据肿瘤的临床、病理和分子特征与膀胱癌亚表型的关联。这一努力只能通过综合多学科工具和信息来实现。这些信息能否更好地用于识别高危人群?这些信息能否用于更好地评估预后或预测对治疗的反应?这些问题需要进行大规模、精心设计的多中心研究。资助机构应该意识到这些需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic epidemiology of bladder cancer: scaling up in the identification of low-penetrance genetic markers of bladder cancer risk and progression.

Bladder cancer is an increasingly important international public health problem. As a multifactorial disease, both environmental and genetic factors are involved in its development and progression. This neoplasm is a paradigm for the participation of low-penetrance genetic variants (GSTM1-null and NAT2-slow) and provides the best established gene-environment interaction in cancer (NAT2-slow * tobacco). Genetic variants in nucleotide excision and double strand break DNA repair pathways have provided promising results, ERCC2-XPD rs238406 being the most consistent variant associated with an increased of bladder cancer risk, by itself and by interacting with tobacco. Variants in other pathways such as cell-cycle control, 1-C metabolism and inflammation have been studied, although the results are inconsistent. Three very large whole genome association studies are being undertaken using the same genotyping platform. Their results will be available soon. Genetic variants have seldom been considered as markers of prognosis or response to therapy in this tumour. The results of these studies are inconclusive. Other issues that need to be addressed are the role of genetic variants in different population subgroups--defined by ethnicity, gender and age, among others--and the association with bladder cancer subphenotypes according to clinical, pathological and molecular characteristics of the tumour. This endeavour can only be achieved by integrating multidisciplinary tools and information. Can this information be applied better to identify high-risk populations? Can the information be used to better assess prognosis or predict response to therapy? These questions require large, well-designed, multicentre studies to be conducted. Funding agencies should be aware of these needs.

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