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Nature DOI:10.1038/s41586-020-2969-2

A metastasis map of human cancer cell lines.

Publication TypeJournal Article
Year of Publication2020
AuthorsJin, X, Demere, Z, Nair, K, Ali, A, Ferraro, GB, Natoli, T, Deik, A, Petronio, L, Tang, AA, Zhu, C, Wang, L, Rosenberg, D, Mangena, V, Roth, J, Chung, K, Jain, RK, Clish, CB, Heiden, MGVander, Golub, TR
JournalNature
Volume588
Issue7837
Pages331-336
Date Published2020 Dec
ISSN1476-4687
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 lines 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.

DOI10.1038/s41586-020-2969-2
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/33299191?dopt=Abstract

Alternate JournalNature
PubMed ID33299191