4.6 Article

High density is a property of slow-cycling and treatment-resistant human glioblastoma cells

Journal

EXPERIMENTAL CELL RESEARCH
Volume 378, Issue 1, Pages 76-86

Publisher

ELSEVIER INC
DOI: 10.1016/j.yexcr.2019.03.003

Keywords

Cancer; Glioma; Glioblastoma; Slow-cycling; Stem cell; Tumor

Funding

  1. NIH/NINDS [U54CA163155, R21NS088114, 1R01 NS081117]
  2. American Brain Tumor Association Collaboration - Humor to Fight the Tumor
  3. Loglio Collaborative
  4. TDC Foundation
  5. Guggenhime Endowment Fund
  6. Vetenskapsrfidet (the Swedish Research Council)
  7. European Molecular Biology Organization (EMBO)
  8. Foundation BLANCEFLOR Boncompagni Ludovisi
  9. ABTA Basic Research Fellowship

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Slow-cycling and treatment-resistant cancer cells escape therapy, providing a rationale for regrowth and recurrence in patients. Much interest has focused on identifying the properties of slow-cycling tumor cells in glioblastoma (GBM), the most common and lethal primary brain tumor. Despite aggressive ionizing radiation (IR) and treatment with the alkylating agent temozolomide (TMZ), GBM patients invariably relapse and ultimately succumb to the disease. In patient biopsies, we demonstrated that GBM cells expressing the proliferation markers Ki67 and MCM2 displayed a larger cell volume compared to rare slow-cycling tumor cells. In optimized density gradients, we isolated a minor fraction of slow-cycling GBM cells in patient biopsies and tumorsphere cultures. Transcriptional profiling, self-renewal, and tumorigenicity assays reflected the slow-cycling state of high-density GBM cells (HDGCs) compared to the tumor bulk of low-density GBM cells (LDGCs). Slow-cycling HDGCs enriched for stem cell antigens proliferated a few days after isolation to generate LDGCs. Both in vitro and in vivo, we demonstrated that HDGCs show increased treatment-resistance to IR and TMZ treatment compared to LDGCs. In conclusion, density gradients represent a non-marker based approach to isolate slow cycling and treatment-resistant GBM cells across GBM subgroups.

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