Single-cell DNA sequencing reveals a late-dissemination model in metastatic colorectal cancer

Metastasis is a complex biological process that has been difficult to delineate in human colorectal cancer (CRC) patients. A major obstacle in understanding metastatic lineages is the extensive intra-tumor heterogeneity at the primary and metastatic tumor sites. To address this problem, we developed...

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Published inGenome research Vol. 27; no. 8; pp. 1287 - 1299
Main Authors Leung, Marco L, Davis, Alexander, Gao, Ruli, Casasent, Anna, Wang, Yong, Sei, Emi, Vilar, Eduardo, Maru, Dipen, Kopetz, Scott, Navin, Nicholas E
Format Journal Article
LanguageEnglish
Published United States Cold Spring Harbor Laboratory Press 01.08.2017
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Summary:Metastasis is a complex biological process that has been difficult to delineate in human colorectal cancer (CRC) patients. A major obstacle in understanding metastatic lineages is the extensive intra-tumor heterogeneity at the primary and metastatic tumor sites. To address this problem, we developed a highly multiplexed single-cell DNA sequencing approach to trace the metastatic lineages of two CRC patients with matched liver metastases. Single-cell copy number or mutational profiling was performed, in addition to bulk exome and targeted deep-sequencing. In the first patient, we observed monoclonal seeding, in which a single clone evolved a large number of mutations prior to migrating to the liver to establish the metastatic tumor. In the second patient, we observed polyclonal seeding, in which two independent clones seeded the metastatic liver tumor after having diverged at different time points from the primary tumor lineage. The single-cell data also revealed an unexpected independent tumor lineage that did not metastasize, and early progenitor clones with the "first hit" mutation in that subsequently gave rise to both the primary and metastatic tumors. Collectively, these data reveal a late-dissemination model of metastasis in two CRC patients and provide an unprecedented view of metastasis at single-cell genomic resolution.
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These authors contributed equally to this work.
ISSN:1088-9051
1549-5469
DOI:10.1101/gr.209973.116