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一种使用单核苷酸多态性(SNP)阵列和DNA测序数据分析肿瘤亚克隆性的通用框架。

A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data.

作者信息

Li Bo, Li Jun Z

出版信息

Genome Biol. 2014 Sep 25;15(9):473. doi: 10.1186/s13059-014-0473-4.

Abstract

Intra-tumor heterogeneity reflects cancer genome evolution and provides key information for diagnosis and treatment. When bulk tumor tissues are profiled for somatic copy number alterations (sCNA) and point mutations, it may be difficult to estimate their cellular fractions when a mutation falls within a sCNA. We present the Clonal Heterogeneity Analysis Tool, which estimates cellular fractions for both sCNAs and mutations, and uses their distributions to inform macroscopic clonal architecture. In a set of approximately 700 breast tumors, more than half appear to contain multiple recognizable aneuploid tumor clones, and many show subtype-specific differences in clonality for known cancer genes.

摘要

肿瘤内异质性反映了癌症基因组的进化,并为诊断和治疗提供关键信息。当对大块肿瘤组织进行体细胞拷贝数改变(sCNA)和点突变分析时,若突变位于sCNA内,可能难以估计其细胞比例。我们提出了克隆异质性分析工具,该工具可估计sCNA和突变的细胞比例,并利用它们的分布来了解宏观克隆结构。在一组约700例乳腺肿瘤中,超过半数似乎含有多个可识别的非整倍体肿瘤克隆,许多肿瘤在已知癌症基因的克隆性方面表现出亚型特异性差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a48/4203890/6ca8f6088a1b/13059_2014_473_Fig1_HTML.jpg

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