Clustered macrophages cooperate to eliminate tumors via coordinated intrudopodia
Abstract
Macrophages often pervade solid tumors, and clusters of macrophages sometimes associate with longer survival of patients. However, clustering mechanisms and impacts on key functions such as phagocytosis remain obscure. Here, under conditions that maximize cancer cell phagocytosis within cohesive tumors, we uncover pathways that favor dynamic clusters and find a colocalization of tumor-intrusive pseudopodia which we term “intrudopodia.” Cluster formation over hours on low-adhesion substrates occurs after macrophage induction to a state colloquially referred to as M1 after exposure to interferons and T cell–derived cytokines. Clusters prove fluid on timescales of minutes and also sort from interleukin-4-treated, so-called M2 macrophages that tend to disperse. M1 macrophages upregulate specific cell–cell adhesion receptors but suppress actomyosin contractility, with both pathways contributing to cluster formation. Decreased cortical tension was not only reflected in a low level of nuclear lamin-A that downregulates cytoskeletal targets of serum response factor and tends to soften the nucleus but was also predicted to unleash pseudopodia. Macrophage neighbors in tumor spheroids indeed coextend intrudopodia between cancer cell junctions—at least when phagocytosis conditions are maximized. Intrudopodia from neighbors help detach and individualize cancer cells for rapid engulfment. Juxtaposition of a macrophage cluster with tumor cell nests defines a broad interface that minimizes cancer cell nearest neighbor interactions and maximizes coordination of macrophage intrudopodia. Cooperative phagocytosis thus overcomes solid tumor cohesion—and might explain why the macrophage clustering factor ITGAL associates with patient survival.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (8)
Lawrence J. Dooling
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Alişya A. Anlaş
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Michael P. Tobin
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Nicholas M. Ontko
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Tristan Marchena
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Maximilian Wang
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Jason C. Andrechak
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania
Dennis E. Discher
Molecular and Cellular Biophysics Lab, School of Engineering and Applied Science, Physical Sciences of Oncology Center at Penn, University of Pennsylvania