Journal article
Cooperation between melanoma cell states promotes metastasis through heterotypic cluster formation
Developmental cell, Vol.56(20), pp.2808-2825.e10
10/25/2021
DOI: 10.1016/j.devcel.2021.08.018
PMCID: PMC8551056
PMID: 34529939
Abstract
Melanomas can have multiple coexisting cell states, including proliferative (PRO) versus invasive (INV) subpopulations that represent a “go or grow” trade-off; however, how these populations interact is poorly understood. Using a combination of zebrafish modeling and analysis of patient samples, we show that INV and PRO cells form spatially structured heterotypic clusters and cooperate in the seeding of metastasis, maintaining cell state heterogeneity. INV cells adhere tightly to each other and form clusters with a rim of PRO cells. Intravital imaging demonstrated cooperation in which INV cells facilitate dissemination of less metastatic PRO cells. We identified the TFAP2 neural crest transcription factor as a master regulator of clustering and PRO/INV states. Isolation of clusters from patients with metastatic melanoma revealed a subset with heterotypic PRO-INV clusters. Our data suggest a framework for the co-existence of these two divergent cell populations, in which heterotypic clusters promote metastasis via cell-cell cooperation.
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•Cluster formation is a pro-metastatic phenotype associated with the INV state•PRO and INV cooperate in metastasis via heterotypic circulating tumor cell clusters•TFAP2 modulates PRO versus INV state, clustering, and metastasis
Proliferative (PRO) and invasive (INV) cell states coexist in melanoma. Campbell et al. demonstrate that PRO and INV cells cooperate in metastasis via heterotypic circulating tumor cell (CTC) clusters and identify TFAP2 as a key mediator. Their work highlights a role for collective dissemination in melanoma metastasis.
Details
- Title: Subtitle
- Cooperation between melanoma cell states promotes metastasis through heterotypic cluster formation
- Creators
- Nathaniel R. Campbell - Memorial Sloan Kettering Cancer CenterAnjali Rao - Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.Miranda V. Hunter - Memorial Sloan Kettering Cancer CenterMagdalena K. Sznurkowska - Department of Biology, Institute of Molecular Health Sciences; Swiss Federal Institute of Technology (ETH) Zurich; 8093 Zurich SwitzerlandLuzia Briker - University Hospital of ZurichMaomao Zhang - Memorial Sloan Kettering Cancer CenterMaayan Baron - Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.Silja Heilmann - Memorial Sloan Kettering Cancer CenterMaxime Deforet - Memorial Sloan Kettering Cancer CenterColin Kenny - University of IowaLorenza P. Ferretti - University of ZurichTing-Hsiang Huang - Memorial Sloan Kettering Cancer CenterSarah Perlee - Memorial Sloan Kettering Cancer CenterManik Garg - European Bioinformatics InstituteJérémie Nsengimana - University of LeedsMassimo Saini - Department of Biology, Institute of Molecular Health Sciences; Swiss Federal Institute of Technology (ETH) Zurich; 8093 Zurich SwitzerlandEmily Montal - Memorial Sloan Kettering Cancer CenterMohita Tagore - Memorial Sloan Kettering Cancer CenterJulia Newton-Bishop - University of LeedsMark R. Middleton - University of OxfordPippa Corrie - Cambridge University Hospitals NHS Foundation TrustDavid J. Adams - Wellcome Sanger InstituteRoy Rabbie - Cambridge University Hospitals NHS Foundation TrustNicola Aceto - Department of Biology, Institute of Molecular Health Sciences; Swiss Federal Institute of Technology (ETH) Zurich; 8093 Zurich SwitzerlandMitchell P. Levesque - University Hospital of ZurichRobert A. Cornell - University of IowaItai Yanai - Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.Joao B. Xavier - Memorial Sloan Kettering Cancer CenterRichard M. White - Memorial Sloan Kettering Cancer Center
- Resource Type
- Journal article
- Publication Details
- Developmental cell, Vol.56(20), pp.2808-2825.e10
- DOI
- 10.1016/j.devcel.2021.08.018
- PMID
- 34529939
- PMCID
- PMC8551056
- NLM abbreviation
- Dev Cell
- ISSN
- 1534-5807
- eISSN
- 1878-1551
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 10/25/2021
- Academic Unit
- Anatomy and Cell Biology; Surgery
- Record Identifier
- 9984322945702771
Metrics
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