A metastasis map of human cancer cell lines View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-12-09

AUTHORS

Xin Jin, Zelalem Demere, Karthik Nair, Ahmed Ali, Gino B. Ferraro, Ted Natoli, Amy Deik, Lia Petronio, Andrew A. Tang, Cong Zhu, Li Wang, Danny Rosenberg, Vamsi Mangena, Jennifer Roth, Kwanghun Chung, Rakesh K. Jain, Clary B. Clish, Matthew G. Vander Heiden, Todd R. Golub

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. More... »

PAGES

331-336

References to SciGraph publications

  • 2010-10-27. The patterns and dynamics of genomic instability in metastatic pancreatic cancer in NATURE
  • 2019-12-20. Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets in NATURE COMMUNICATIONS
  • 2012-03-04. Fast gapped-read alignment with Bowtie 2 in NATURE METHODS
  • 2016-02-29. High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines in NATURE BIOTECHNOLOGY
  • 2007-10. A neuroscientist's guide to lipidomics in NATURE REVIEWS NEUROSCIENCE
  • 2002-12-09. A molecular signature of metastasis in primary solid tumors in NATURE GENETICS
  • 2019-04-10. Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens in NATURE
  • 2017-01-04. Genome-wide in vivo screen identifies novel host regulators of metastatic colonization in NATURE
  • 2016-12-07. Targeting metastasis-initiating cells through the fatty acid receptor CD36 in NATURE
  • 2019-05-08. Next-generation characterization of the Cancer Cell Line Encyclopedia in NATURE
  • 2017-08-02. Integrative clinical genomics of metastatic cancer in NATURE
  • 2012-09-23. Comprehensive molecular portraits of human breast tumours in NATURE
  • 2010-06-22. Proteomic and transcriptomic profiling reveals a link between the PI3K pathway and lower estrogen-receptor (ER) levels and activity in ER+ breast cancer in BREAST CANCER RESEARCH
  • 2011-08-04. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome in BMC BIOINFORMATICS
  • 2015-06-01. Oncogenic PI3K and K-Ras stimulate de novo lipid synthesis through mTORC1 and SREBP in ONCOGENE
  • 2012-03-28. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity in NATURE
  • 2012-03-28. Systematic identification of genomic markers of drug sensitivity in cancer cells in NATURE
  • 2019-05-08. The landscape of cancer cell line metabolism in NATURE MEDICINE
  • 2013-01-16. GSVA: gene set variation analysis for microarray and RNA-Seq data in BMC BIOINFORMATICS
  • 2012-04-18. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups in NATURE
  • 2016-01-19. Breast cancer brain metastases: biology and new clinical perspectives in BREAST CANCER RESEARCH
  • 2019-12-18. Metabolic heterogeneity confers differences in melanoma metastatic potential in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41586-020-2969-2

    DOI

    http://dx.doi.org/10.1038/s41586-020-2969-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1133346189

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33299191


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