Suppr超能文献

肿瘤DNA中的碱基变化能够揭示癌症的病因和演变过程。

Base changes in tumour DNA have the power to reveal the causes and evolution of cancer.

作者信息

Hollstein M, Alexandrov L B, Wild C P, Ardin M, Zavadil J

机构信息

Molecular Mechanisms and Biomarkers, International Agency for Research on Cancer, World Health Organization, Lyon, France.

Faculty of Medicine and Health, University of Leeds, Leeds, UK.

出版信息

Oncogene. 2017 Jan 12;36(2):158-167. doi: 10.1038/onc.2016.192. Epub 2016 Jun 6.

Abstract

Next-generation sequencing (NGS) technology has demonstrated that the cancer genomes are peppered with mutations. Although most somatic tumour mutations are unlikely to have any role in the cancer process per se, the spectra of DNA sequence changes in tumour mutation catalogues have the potential to identify the mutagens, and to reveal the mutagenic processes responsible for human cancer. Very recently, a novel approach for data mining of the vast compilations of tumour NGS data succeeded in separating and precisely defining at least 30 distinct patterns of sequence change hidden in mutation databases. At least half of these mutational signatures can be readily assigned to known human carcinogenic exposures or endogenous mechanisms of mutagenesis. A quantum leap in our knowledge of mutagenesis in human cancers has resulted, stimulating a flurry of research activity. We trace here the major findings leading first to the hypothesis that carcinogenic insults leave characteristic imprints on the DNA sequence of tumours, and culminating in empirical evidence from NGS data that well-defined carcinogen mutational signatures are indeed present in tumour genomic DNA from a variety of cancer types. The notion that tumour DNAs can divulge environmental sources of mutation is now a well-accepted fact. This approach to cancer aetiology has also incriminated various endogenous, enzyme-driven processes that increase the somatic mutation load in sporadic cancers. The tasks now confronting the field of molecular epidemiology are to assign mutagenic processes to orphan and newly discovered tumour mutation patterns, and to determine whether avoidable cancer risk factors influence signatures produced by endogenous enzymatic mechanisms. Innovative research with experimental models and exploitation of the geographical heterogeneity in cancer incidence can address these challenges.

摘要

下一代测序(NGS)技术已表明癌症基因组中布满了突变。尽管大多数体细胞肿瘤突变本身不太可能在癌症进程中发挥任何作用,但肿瘤突变目录中的DNA序列变化谱有潜力识别诱变剂,并揭示导致人类癌症的诱变过程。最近,一种用于挖掘大量肿瘤NGS数据的新方法成功地分离并精确界定了隐藏在突变数据库中的至少30种不同的序列变化模式。这些突变特征中至少有一半可以很容易地归因于已知的人类致癌暴露或内源性诱变机制。这使得我们对人类癌症诱变的认识有了巨大飞跃,激发了一系列研究活动。我们在此追溯主要发现,这些发现首先引出了致癌损伤会在肿瘤DNA序列上留下特征印记的假说,最终从NGS数据中得到经验证据,即明确界定的致癌物突变特征确实存在于多种癌症类型的肿瘤基因组DNA中。肿瘤DNA能够揭示突变的环境来源这一观念现在已成为公认的事实。这种癌症病因学研究方法还牵连到各种内源性、酶驱动的过程,这些过程会增加散发性癌症中的体细胞突变负荷。分子流行病学领域目前面临的任务是将诱变过程归因于孤立的和新发现的肿瘤突变模式,并确定可避免的癌症风险因素是否会影响内源性酶机制产生的特征。利用实验模型进行的创新性研究以及对癌症发病率地理异质性的探索可以应对这些挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f84/5241425/d445d4d2aafd/onc2016192f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验