Abstract
Metastasis is a complex biological process that has been difficult to delineate in human colorectal cancer (CRC) patients. Amajor 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-cellDNAsequencing 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 numberof 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 APC 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.
Original language | English (US) |
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Pages (from-to) | 1287-1299 |
Number of pages | 13 |
Journal | Genome research |
Volume | 27 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2017 |
Funding
This work was supported by the MD Anderson Colon Cancer Moonshot project and the Eric & Liz Lefkofsky Family Foundation. The research was also supported by grants to N.E.N. from the National Cancer Institute (NCI) (1R01CA169244-01) and the American Cancer Society (129098-RSG-16-092-01-TBG). N.E.N. is an Andrew Sabin Family Fellow. The study was supported by the MD Anderson Cancer Moonshot Knowledge Gap Award and the Center for Genetics & Genomics. M.L.L. is supported by a Research Training Award from the Cancer Prevention and Research Institute of Texas (CPRIT RP140106), and is also supported by the American Legion Auxiliary (ALA) and Hearst Foundations. A.D. is supported by the ALA and by the National Library of Medicine Training Program in Biomedical Informatics (4T15LM007093-25). This work was also supported by an RO1 grant to S.K. from NCI (RO1CA184843). This study was supported by the MD Anderson Sequencing Core Facility Grant (no. CA016672) and the Flow Cytometry Facility grant from NIH (no. CA016672).
ASJC Scopus subject areas
- Genetics(clinical)
- Genetics