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通过下一代测序技术对癌症进行的当前及未来分子特征分析。

Current and future molecular profiling of cancer by next-generation sequencing.

作者信息

Shibata Tatsuhiro

机构信息

Laboratory of Molecular Medicine, Institute of Medical Science, University of Tokyo, Tokyo Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan

出版信息

Jpn J Clin Oncol. 2015 Oct;45(10):895-9. doi: 10.1093/jjco/hyv122. Epub 2015 Aug 19.

Abstract

Advances in the new sequencing technologies have enabled us to explore global genetic alterations including driver genes in a wide range of cancers. Concordantly, successes of molecular target therapy promoted the validity of tumor classification based on the combination of targetable genetic abnormalities, and next-generation sequencing-based genetic profiling using target gene capturing or multiplex-polymerase chain reaction has already been tested or adapted in many cancer centers. Driver gene-based classification may be applicable beyond organs, and clinical trials incorporating this genomic information, called as a basket trial, have been executed, although it should be considered that similar therapeutic efficacies against driver mutations are not invariably maintained among different cancer types. Research efforts to identify still missing driver genes in rare cancers, to complete functional annotation of infrequent driver genes, and multiple-layered omics approaches are further expected for better classification of tumor. Emerging clinical interests in the development of immunotherapies postulate a new molecular classification of tumors. Recent studies reported that total number of mutations and the frequent appearance of neo-antigens by protein-coding mutations were associated with a better response, and genetic evaluation of both tumor and host immune system by sequencing is expected to contribute to the personalized immunotherapies in the near future. Lastly intratumoral molecular heterogeneity challenges the current 'static' molecular classification of tumor. For example, dynamic change in clonal constitution within tumor plays an important role in acquired drug resistance. It has been extensively explored whether liquid biopsy-based molecular profiling can resolve currently confronting difficulties.

摘要

新测序技术的进步使我们能够探索包括多种癌症驱动基因在内的全球基因改变。相应地,分子靶向治疗的成功提升了基于可靶向基因异常组合的肿瘤分类的有效性,并且在许多癌症中心已经对使用靶向基因捕获或多重聚合酶链反应的基于下一代测序的基因谱分析进行了测试或应用。基于驱动基因的分类可能适用于不同器官,尽管应该考虑到不同癌症类型对驱动突变的相似治疗效果并非始终保持一致,但已经开展了纳入这种基因组信息的临床试验,即所谓的篮子试验。识别罕见癌症中仍缺失的驱动基因、完善罕见驱动基因的功能注释以及采用多层组学方法的研究工作,有望进一步实现更好的肿瘤分类。免疫疗法发展中新兴的临床兴趣提出了肿瘤的新分子分类。最近的研究报告称,突变总数以及蛋白质编码突变产生新抗原的频繁出现与更好的反应相关,并且通过测序对肿瘤和宿主免疫系统进行基因评估有望在不久的将来为个性化免疫疗法做出贡献。最后,肿瘤内分子异质性对当前肿瘤的“静态”分子分类提出了挑战。例如,肿瘤内克隆组成的动态变化在获得性耐药中起重要作用。基于液体活检分子谱分析能否解决当前面临的困难已得到广泛探索。

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