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Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression

Author

Listed:
  • Andrea Comba

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Syed M. Faisal

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Patrick J. Dunn

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Anna E. Argento

    (University of Michigan Medical School
    University of Michigan Medical School)

  • Todd C. Hollon

    (University of Michigan Medical School)

  • Wajd N. Al-Holou

    (University of Michigan Medical School)

  • Maria Luisa Varela

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Daniel B. Zamler

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Gunnar L. Quass

    (University of Michigan Medical School)

  • Pierre F. Apostolides

    (University of Michigan Medical School
    University of Michigan Medical School)

  • Clifford Abel

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Christine E. Brown

    (City of Hope)

  • Phillip E. Kish

    (University of Michigan Medical School
    University of Michigan Medical School)

  • Alon Kahana

    (University of Michigan Medical School)

  • Celina G. Kleer

    (University of Michigan Medical School
    University of Michigan Medical School)

  • Sebastien Motsch

    (Arizona State University)

  • Maria G. Castro

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School)

  • Pedro R. Lowenstein

    (University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan Medical School
    University of Michigan)

Abstract

Intra-tumoral heterogeneity is a hallmark of glioblastoma that challenges treatment efficacy. However, the mechanisms that set up tumor heterogeneity and tumor cell migration remain poorly understood. Herein, we present a comprehensive spatiotemporal study that aligns distinctive intra-tumoral histopathological structures, oncostreams, with dynamic properties and a specific, actionable, spatial transcriptomic signature. Oncostreams are dynamic multicellular fascicles of spindle-like and aligned cells with mesenchymal properties, detected using ex vivo explants and in vivo intravital imaging. Their density correlates with tumor aggressiveness in genetically engineered mouse glioma models, and high grade human gliomas. Oncostreams facilitate the intra-tumoral distribution of tumoral and non-tumoral cells, and potentially the collective invasion of the normal brain. These fascicles are defined by a specific molecular signature that regulates their organization and function. Oncostreams structure and function depend on overexpression of COL1A1. Col1a1 is a central gene in the dynamic organization of glioma mesenchymal transformation, and a powerful regulator of glioma malignant behavior. Inhibition of Col1a1 eliminates oncostreams, reprograms the malignant histopathological phenotype, reduces expression of the mesenchymal associated genes, induces changes in the tumor microenvironment and prolongs animal survival. Oncostreams represent a pathological marker of potential value for diagnosis, prognosis, and treatment.

Suggested Citation

  • Andrea Comba & Syed M. Faisal & Patrick J. Dunn & Anna E. Argento & Todd C. Hollon & Wajd N. Al-Holou & Maria Luisa Varela & Daniel B. Zamler & Gunnar L. Quass & Pierre F. Apostolides & Clifford Abel , 2022. "Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression," Nature Communications, Nature, vol. 13(1), pages 1-23, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31340-1
    DOI: 10.1038/s41467-022-31340-1
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    1. Maria Stella Carro & Wei Keat Lim & Mariano Javier Alvarez & Robert J. Bollo & Xudong Zhao & Evan Y. Snyder & Erik P. Sulman & Sandrine L. Anne & Fiona Doetsch & Howard Colman & Anna Lasorella & Ken A, 2010. "The transcriptional network for mesenchymal transformation of brain tumours," Nature, Nature, vol. 463(7279), pages 318-325, January.
    2. Bartlomiej Waclaw & Ivana Bozic & Meredith E. Pittman & Ralph H. Hruban & Bert Vogelstein & Martin A. Nowak, 2015. "A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity," Nature, Nature, vol. 525(7568), pages 261-264, September.
    3. D. Huber & D. A. Gutnisky & S. Peron & D. H. O’Connor & J. S. Wiegert & L. Tian & T. G. Oertner & L. L. Looger & K. Svoboda, 2012. "Multiple dynamic representations in the motor cortex during sensorimotor learning," Nature, Nature, vol. 484(7395), pages 473-478, April.
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    1. Milena Doroszko & Rebecka Stockgard & Irem Uppman & Josephine Heinold & Faidra Voukelatou & Hitesh Bhagavanbhai Mangukiya & Thomas O. Millner & Madeleine Skeppås & Mar Ballester Bravo & Ramy Elgendy &, 2025. "The invasion phenotypes of glioblastoma depend on plastic and reprogrammable cell states," Nature Communications, Nature, vol. 16(1), pages 1-17, December.

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