Literature DB >> 31481500

A Biophysical Model Uncovers the Size Distribution of Migrating Cell Clusters across Cancer Types.

Federico Bocci1, Mohit Kumar Jolly2, José Nelson Onuchic3.   

Abstract

Migration from the primary tumor is a crucial step in the metastatic cascade. Cells with various degrees of adhesion and motility migrate and are launched into the bloodstream as single circulating tumor cells (CTC) or multicellular CTC clusters. The frequency and size distributions of these clusters have been recently measured, but the underlying mechanisms enabling these different modes of migration remain poorly understood. We present a biophysical model that couples the phenotypic plasticity enabled by the epithelial-mesenchymal transition (EMT) and cell migration to explain the modes of individual and collective cancer cell migration. This reduced physical model captures how cells undergo a transition from individual migration to collective cell migration and robustly recapitulates CTC cluster fractions and size distributions observed experimentally across several cancer types, thus suggesting the existence of common features in the mechanisms underlying cancer cell migration. Furthermore, we identify mechanisms that can maximize the fraction of CTC clusters in circulation. First, mechanisms that prevent a complete EMT and instead increase the population of hybrid epithelial/mesenchymal (E/M) cells are required to recapitulate CTC size distributions with large clusters of 5 to 10 cells. Second, multiple intermediate E/M states give rise to larger and heterogeneous clusters formed by cells with different epithelial-mesenchymal traits. Overall, this biophysical model provides a platform to continue to bridge the gap between the molecular and biophysical regulation of cancer cell migration and highlights that a complete EMT might not be required for metastasis. SIGNIFICANCE: A biophysical model of cancer cell invasion integrates phenotypic heterogeneity and cell migration to interpret experimental observations of circulating tumor cell clusters and provides new predictions.Graphical Abstract: http://cancerres.aacrjournals.org/content/canres/79/21/5527/F1.large.jpg. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31481500     DOI: 10.1158/0008-5472.CAN-19-1726

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

1.  Density-Dependent Migration Characteristics of Cancer Cells Driven by Pseudopod Interaction.

Authors:  Gerhard A Burger; Bob van de Water; Sylvia E Le Dévédec; Joost B Beltman
Journal:  Front Cell Dev Biol       Date:  2022-04-25

2.  Heterogeneity of circulating tumor cell dissemination and lung metastases in a subcutaneous Lewis lung carcinoma model.

Authors:  Jessica E Fitzgerald; Brook K Byrd; Roshani A Patil; Rendall R Strawbridge; Scott C Davis; Chiara Bellini; Mark Niedre
Journal:  Biomed Opt Express       Date:  2020-06-08       Impact factor: 3.732

Review 3.  Cancer Stem Cells and Epithelial-to-Mesenchymal Transition in Cancer Metastasis.

Authors:  Toni Celià-Terrassa; Mohit Kumar Jolly
Journal:  Cold Spring Harb Perspect Med       Date:  2020-07-01       Impact factor: 5.159

Review 4.  Interplay between tumor microenvironment and partial EMT as the driver of tumor progression.

Authors:  Vaishali Aggarwal; Catalina Ardila Montoya; Vera S Donnenberg; Shilpa Sant
Journal:  iScience       Date:  2021-01-28

5.  Cluster size distribution of cells disseminating from a primary tumor.

Authors:  Mrinmoy Mukherjee; Herbert Levine
Journal:  PLoS Comput Biol       Date:  2021-11-10       Impact factor: 4.475

Review 6.  Mechanical Pressure Driving Proteoglycan Expression in Mammographic Density: a Self-perpetuating Cycle?

Authors:  Gina Reye; Xuan Huang; Larisa M Haupt; Ryan J Murphy; Jason J Northey; Erik W Thompson; Konstantin I Momot; Honor J Hugo
Journal:  J Mammary Gland Biol Neoplasia       Date:  2021-08-27       Impact factor: 2.673

Review 7.  Insights into Circulating Tumor Cell Clusters: A Barometer for Treatment Effects and Prognosis for Prostate Cancer Patients.

Authors:  Linyao Lu; Wei Hu; Bingli Liu; Tao Yang
Journal:  Cancers (Basel)       Date:  2022-08-18       Impact factor: 6.575

Review 8.  Hypoxia, partial EMT and collective migration: Emerging culprits in metastasis.

Authors:  Kritika Saxena; Mohit Kumar Jolly; Kuppusamy Balamurugan
Journal:  Transl Oncol       Date:  2020-08-08       Impact factor: 4.243

Review 9.  The Complexities of Metastasis.

Authors:  Beatriz P San Juan; Maria J Garcia-Leon; Laura Rangel; Jacky G Goetz; Christine L Chaffer
Journal:  Cancers (Basel)       Date:  2019-10-16       Impact factor: 6.639

10.  A Theoretical Approach to Coupling the Epithelial-Mesenchymal Transition (EMT) to Extracellular Matrix (ECM) Stiffness via LOXL2.

Authors:  Youyuan Deng; Priyanka Chakraborty; Mohit Kumar Jolly; Herbert Levine
Journal:  Cancers (Basel)       Date:  2021-03-31       Impact factor: 6.639

  10 in total

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