首页> 外文期刊>Genome research >Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors
【24h】

Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors

机译:单细胞测序数据揭示肿瘤寿命历史中的广泛复发和突变击中的丧失

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Intra-tumor heterogeneity poses substantial challenges for cancer treatment. A tumor's composition can be deduced by reconstructing its mutational history. Central to current approaches is the infinite sites assumption that every genomic position can only mutate once over the lifetime of a tumor. The validity of this assumption has never been quantitatively assessed. We developed a rigorous statistical framework to test the infinite sites assumption with single-cell sequencing data. Our framework accounts for the high noise and contamination present in such data. We found strong evidence for the same genomic position being mutationally affected multiple times in individual tumors for 11 of 12 single-cell sequencing data sets from a variety of human cancers. Seven cases involved the loss of earlier mutations, five of which occurred at sites unaffected by large-scale genomic deletions. Four cases exhibited a parallel mutation, potentially indicating convergent evolution at the base pair level. Our results refute the general validity of the infinite sites assumption and indicate that more complex models are needed to adequately quantify intra-tumor heterogeneity for more effective cancer treatment.
机译:肿瘤内异质性对癌症治疗构成了大量挑战。通过重建其突变历史,可以推导出肿瘤的组合物。目前的方法的核心是无限位点假设,即每个基因组位置只能在肿瘤的寿命上突变一次。从未定量评估过这种假设的有效性。我们开发了一个严格的统计框架,以测试使用单细胞排序数据的无限位点。我们的框架占这些数据中存在的高噪音和污染。我们发现强有力的证据表明与来自各种人类癌症的12个单细胞测序数据组中的11个单个肿瘤中多次受到突变影响的相同基因组位置。七种病例涉及早期突变的损失,其中5个在大规模基因组缺失不受影响的遗址发生。四个案例表现出平行突变,潜在地指示基对水平的会聚演化。我们的结果反驳了无限位点的一般有效性,并表明需要更复杂的模型来充分量化肿瘤内的异质性以获得更有效的癌症治疗。

著录项

  • 来源
    《Genome research》 |2017年第11期|共10页
  • 作者单位

    Swiss Fed Inst Technol Dept Biosyst Sci &

    Engn CH-4058 Basel Switzerland;

    Swiss Fed Inst Technol Dept Biosyst Sci &

    Engn CH-4058 Basel Switzerland;

    Princeton Univ Dept Comp Sci Princeton NJ 08540 USA;

    Swiss Fed Inst Technol Dept Biosyst Sci &

    Engn CH-4058 Basel Switzerland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号