Oncolytic Virus Therapy Alters the Secretome of Targeted Glioblastoma Cells

Jakub Godlewski1,2, Mohamed Farhath1, Franz L Ricklefs1

  • 1Harvey Cushing Neuro-Oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

Cancers
|April 3, 2021
PubMed

Insights

Oncolytic virus (OV) therapy shows promise for glioblastoma. Linking cancer cell secretomes to transcriptomes can predict patient response to OV treatment, improving outcomes.

Area of Science:

  • Oncology
  • Virology
  • Immunology
  • Proteomics
  • Transcriptomics

Background:

  • Oncolytic virus (OV) therapy is a promising glioblastoma treatment that targets cancer cells and stimulates immune responses.
  • Patient sensitivity to OV therapy varies, necessitating predictive biomarkers.
  • OV therapy functions as an anti-tumor vaccine by inducing immunogenic protein secretion from infected cancer cells.

Purpose of the Study:

  • To establish a link between cancer cell transcriptome and secreted proteins (secretome) to predict OV therapy sensitivity in glioblastoma.
  • To investigate the common molecular response of glioblastoma cells to OV infection.
  • To correlate secretome profiles with patient survival outcomes.

Main Methods:

  • Patient-derived glioblastoma cells were treated ex-vivo with herpes simplex virus type 1 (HSV1).
  • Cellular transcriptome was analyzed using gene microarray.
  • Secreted proteome was analyzed using mass spectrometry, with fractions separated into extracellular vesicles (EV) and EV-depleted components.

Main Results:

  • Glioblastoma cells exhibited a unified transcriptomic response to OV infection, despite varied individual reactions.
  • Upregulation of transcripts encoding secreted proteins indicated a common cellular response pathway.
  • Co-secretion of proteins, regardless of EV or EV-depleted fraction, augmented the immune response and correlated with improved patient survival.

Conclusions:

  • The OV-driven secretome is intrinsically linked to the anti-tumor immune response.
  • Secretome analysis, integrated with transcriptome data, offers a predictive tool for OV therapy efficacy in glioblastoma.
  • Targeting co-secreted proteins may enhance OV therapy outcomes and patient survival.

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