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Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes. | LitMetric

AI Article Synopsis

  • * Analysis of 2,658 whole-genome sequences reveals that 95.1% of samples show distinct subclonal expansions that evolve through branching relationships, highlighting the complexity within tumors.
  • * This study identifies specific patterns of driver mutations and other genetic alterations in different cancer types, offering valuable insight into tumor evolution and a resource for understanding subclonal events across cancers.

Article Abstract

Intra-tumor heterogeneity (ITH) is a mechanism of therapeutic resistance and therefore an important clinical challenge. However, the extent, origin, and drivers of ITH across cancer types are poorly understood. To address this, we extensively characterize ITH across whole-genome sequences of 2,658 cancer samples spanning 38 cancer types. Nearly all informative samples (95.1%) contain evidence of distinct subclonal expansions with frequent branching relationships between subclones. We observe positive selection of subclonal driver mutations across most cancer types and identify cancer type-specific subclonal patterns of driver gene mutations, fusions, structural variants, and copy number alterations as well as dynamic changes in mutational processes between subclonal expansions. Our results underline the importance of ITH and its drivers in tumor evolution and provide a pan-cancer resource of comprehensively annotated subclonal events from whole-genome sequencing data.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054914PMC
http://dx.doi.org/10.1016/j.cell.2021.03.009DOI Listing

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