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Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts.
Quinn, Jeffrey J; Jones, Matthew G; Okimoto, Ross A; Nanjo, Shigeki; Chan, Michelle M; Yosef, Nir; Bivona, Trever G; Weissman, Jonathan S.
Afiliação
  • Quinn JJ; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
  • Jones MG; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Okimoto RA; Inscripta, Inc., Boulder, CO, USA.
  • Nanjo S; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
  • Chan MM; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Yosef N; Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
  • Bivona TG; Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA, USA.
  • Weissman JS; Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
Science ; 371(6532)2021 02 26.
Article em En | MEDLINE | ID: mdl-33479121
ABSTRACT
Detailed phylogenies of tumor populations can recount the history and chronology of critical events during cancer progression, such as metastatic dissemination. We applied a Cas9-based, single-cell lineage tracer to study the rates, routes, and drivers of metastasis in a lung cancer xenograft mouse model. We report deeply resolved phylogenies for tens of thousands of cancer cells traced over months of growth and dissemination. This revealed stark heterogeneity in metastatic capacity, arising from preexisting and heritable differences in gene expression. We demonstrate that these identified genes can drive invasiveness and uncovered an unanticipated suppressive role for KRT17 We also show that metastases disseminated via multidirectional tissue routes and complex seeding topologies. Overall, we demonstrate the power of tracing cancer progression at subclonal resolution and vast scale.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pulmonares / Metástase Neoplásica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pulmonares / Metástase Neoplásica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article