Gene expression analysis suggests immunosuppressive roles of endolysosomes in glioblastoma

PLoS One. 2024 Mar 20;19(3):e0299820. doi: 10.1371/journal.pone.0299820. eCollection 2024.

Abstract

Targeting endolysosomes is a strategy extensively pursued for treating cancers, including glioblastomas (GBMs), on the basis that the intact function of these subcellular organelles is key to tumor cell autophagy and survival. Through gene expression analyses and cell type abundance estimation in GBMs, we showed that genes associated with the endolysosomal machinery are more prominently featured in non-tumor cells in GBMs than in tumor cells, and that tumor-associated macrophages represent the primary immune cell type that contributes to this trend. Further analyses found an enrichment of endolysosomal pathway genes in immunosuppressive (pro-tumorigenic) macrophages, such as M2-like macrophages or those associated with worse prognosis in glioma patients, but not in those linked to inflammation (anti-tumorigenic). Specifically, genes critical to the hydrolysis function of endolysosomes, including progranulin and cathepsins, were among the most positively correlated with immunosuppressive macrophages, and elevated expression of these genes is associated with worse patient survival in GBMs. Together, these results implicate the hydrolysis function of endolysosomes in shaping the immunosuppressive microenvironment of GBM. We propose that targeting endolysosomes, in addition to its detrimental effects on tumor cells, can be leveraged for modulating immunosuppression to render GBMs more amenable to immunotherapies.

MeSH terms

  • Brain Neoplasms* / pathology
  • Cell Line, Tumor
  • Gene Expression Profiling
  • Glioblastoma* / pathology
  • Glioma*
  • Humans
  • Tumor Microenvironment / genetics

Grants and funding

This work was supported by the Preston Robert Tisch Brain Tumor Center and the Department of Pathology at Duke University, the National Institute of Neurological Disorders and Stroke (NINDS) at the National Institutes of Health (NIH) (NS101074), and a pilot research grant from Duke Cancer Institute as part of the NIH National Cancer Institute P30 Cancer Center Support Grant (Grant ID: NIH CA014236).