Proceedings of the National Academy of Sciences · 2016 · 167 citations · 31 references
MedicineEvolutionary BiologyOncologyMetastasisMolecular EvolutionTumor ProgressionCancer GenomicsCancer ProgressionClonal EvolutionLineage ReconstructionMetastatic CascadeNext-generation Sequencing In OncologyClonal Evolution Of MetastasesDriver Mutation TimingExome SequencingMetastatic Clonal EvolutionMetastatic EvolutionOncogenic Driver MutationsTumor Lineage DivergenceWhole Exome Sequencing Studies
Many aspects of the evolutionary process of tumorigenesis that are fundamental to cancer biology and targeted treatment have been challenging to reveal, such as the divergence times and genetic clonality of metastatic lineages. To address these challenges, we performed tumor phylogenetics using molecular evolutionary models, reconstructed ancestral states of somatic mutations, and inferred cancer chronograms to yield three conclusions. First, in contrast to a linear model of cancer progression, metastases can originate from divergent lineages within primary tumors. Evolved genetic changes in cancer lineages likely affect only the proclivity toward metastasis. Single genetic changes are unlikely to be necessary or sufficient for metastasis. Second, metastatic lineages can arise early in tumor development, sometimes long before diagnosis. The early genetic divergence of some metastatic lineages directs attention toward research on driver genes that are mutated early in cancer evolution. Last, the temporal order of occurrence of driver mutations can be inferred from phylogenetic analysis of cancer chronograms, guiding development of targeted therapeutics effective against primary tumors and metastases.
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The Sequence Alignment/Map format and SAMtools
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