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Landscape and function of multiple mutations within individual oncogenes

机译:单个癌基因内多个突变的景观和功能

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Abstract Sporadic reports have described cancer cases in which multiple driver mutations (MMs) occur in the same oncogene1,2. However, the overall landscape and relevance of MMs remain elusive. Here we carried out a pan-cancer analysis of 60,954 cancer samples, and identified 14 pan-cancer and 6 cancer-type-specific oncogenes in which MMs occur more frequently than expected: 9% of samples with at least one mutation in these genes harboured MMs. In various oncogenes, MMs are preferentially present in cis and show markedly different mutational patterns compared with single mutations in terms of type (missense mutations versus in-frame indels), position and amino-acid substitution, suggesting a cis-acting effect on mutational selection. MMs show an overrepresentation of functionally weak, infrequent mutations, which confer enhanced oncogenicity in combination. Cells with MMs in the PIK3CA and NOTCH1 genes exhibit stronger dependencies on the mutated genes themselves, enhanced downstream signalling activation and/or greater sensitivity to inhibitory drugs than those with single mutations. Together oncogenic MMs are a relatively common driver event, providing the underlying mechanism for clonal selection of suboptimal mutations that are individually rare but collectively account for a substantial proportion of oncogenic mutations.
机译:摘要散发性报告描述了多种驾驶员突变(MMS)在相同的oncogene1,2中发生的癌症病例。但是,MMS的整体景观和相关性仍然难以捉摸。在这里,我们对60,954例癌症样品进行了泛癌分析,并确定了14个泛癌和6种癌症型癌症,其中MMS比预期的预期更频繁地发生:9%的样品,其中这些基因中的至少一个突变在这些基因中遭受了至少一种突出的突变MMS。在各种癌基因中,MMS优先存在于CIS中,并显示与类型(麦基义突变与内侧诱导),位置和氨基酸替代方面的单一突变相比明显不同的突变模式,这表明了对突变选择的顺式作用效应。 MMS表明功能较弱,不常见的突变的过度陈述,其赋予增强的致癌性。 PIK3CA和Notch1基因中的MMS细胞对突变的基因本身具有更强的依赖性,增强了下游信号激活和/或对抑制药物的敏感性比单一突变的抑制剂。致癌型MMS是一种相对普遍的驾驶员事件,提供潜在的潜在突变的潜在机制,其单独罕见但共同占致癌突变的大量比例。

著录项

  • 来源
    《Nature 》 |2020年第7810期| 95-99| 共5页
  • 作者单位

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan Department of Gastroenterology Keio University School of Medicine Tokyo Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan;

    Department of Clinical System Onco-Informatics Graduate School of Medicine Kyoto University Kyoto Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan Department of Urology Graduate School of Medicine The University of Tokyo Tokyo Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan Department of Hematology Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University Tokyo Japan;

    Medical Sciences Innovation Hub Program RIKEN Cluster for Science Technology and Innovation Hub Yokohama Japan;

    Research and Development Group for In Silico Drug Discovery Center for Cluster Development and Coordination Foundation for Biomedical Research and Innovation Kobe Japan;

    Laboratory of Sequence Analysis Human Genome Center Institute of Medical Science The University of Tokyo Tokyo Japan;

    Department of Gastroenterology Keio University School of Medicine Tokyo Japan;

    Laboratory of Sequence Analysis Human Genome Center Institute of Medical Science The University of Tokyo Tokyo Japan;

    Center for Cancer Genomics and Advanced Therapeutics National Cancer Center Tokyo Japan;

    Department of Clinical System Onco-Informatics Graduate School of Medicine Kyoto University Kyoto Japan;

    Division of Molecular Oncology National Cancer Center Research Institute Tokyo Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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