Your browser doesn't support javascript.
loading
A metastasis map of human cancer cell lines.
Jin, Xin; Demere, Zelalem; Nair, Karthik; Ali, Ahmed; Ferraro, Gino B; Natoli, Ted; Deik, Amy; Petronio, Lia; Tang, Andrew A; Zhu, Cong; Wang, Li; Rosenberg, Danny; Mangena, Vamsi; Roth, Jennifer; Chung, Kwanghun; Jain, Rakesh K; Clish, Clary B; Vander Heiden, Matthew G; Golub, Todd R.
Afiliación
  • Jin X; Broad Institute of MIT and Harvard, Cambridge, MA, USA. xjin@broadinstitute.org.
  • Demere Z; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Nair K; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Ali A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Ferraro GB; Koch Institute for Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Natoli T; Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA.
  • Deik A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Petronio L; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Tang AA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Zhu C; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Wang L; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Rosenberg D; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Mangena V; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Roth J; Institute for Medical Engineering and Science, Picower Institute for Learning and Memory, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Chung K; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Jain RK; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Clish CB; Institute for Medical Engineering and Science, Picower Institute for Learning and Memory, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Vander Heiden MG; Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA.
  • Golub TR; Harvard Medical School, Boston, MA, USA.
Nature ; 588(7837): 331-336, 2020 12.
Article en En | MEDLINE | ID: mdl-33299191
ABSTRACT
Most deaths from cancer are explained by metastasis, and yet large-scale metastasis research has been impractical owing to the complexity of in vivo models. Here we introduce an in vivo barcoding strategy that is capable of determining the metastatic potential of human cancer cell lines in mouse xenografts at scale. We validated the robustness, scalability and reproducibility of the method and applied it to 500 cell lines1,2 spanning 21 types of solid tumour. We created a first-generation metastasis map (MetMap) that reveals organ-specific patterns of metastasis, enabling these patterns to be associated with clinical and genomic features. We demonstrate the utility of MetMap by investigating the molecular basis of breast cancers capable of metastasizing to the brain-a principal cause of death in patients with this type of cancer. Breast cancers capable of metastasizing to the brain showed evidence of altered lipid metabolism. Perturbation of lipid metabolism in these cells curbed brain metastasis development, suggesting a therapeutic strategy to combat the disease and demonstrating the utility of MetMap as a resource to support metastasis research.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Especificidad de Órganos / Neoplasias de la Mama / Movimiento Celular / Metástasis de la Neoplasia Límite: Animals / Female / Humans Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Especificidad de Órganos / Neoplasias de la Mama / Movimiento Celular / Metástasis de la Neoplasia Límite: Animals / Female / Humans Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos