Prospects for Using Expression Patterns of Paramyxovirus Receptors as Biomarkers for Oncolytic Virotherapy

Olga V Matveeva1, Svetlana A Shabalina2

  • 1Sendai Viralytics LLC, 23 Nylander Way, Acton, MA 01720, USA.

Cancers
|December 9, 2020
PubMed

Insights

Oncolytic virotherapy effectiveness relies on virus entry into cancer cells via specific receptors. Tumor cell receptor expression and immune gene signatures predict treatment success for measles and Sendai viruses.

Area of Science:

  • Oncology
  • Virology
  • Immunology

Background:

  • Oncolytic virotherapy uses viruses to target and destroy cancer cells.
  • Successful treatment requires efficient virus delivery, cell entry, replication, and progeny release.
  • Host cell receptors play a crucial role in mediating virus entry.

Purpose of the Study:

  • To review natural and artificial receptors for measles virus (MV) and Sendai virus (SeV) as oncolytic agents.
  • To discuss the impact of receptor expression levels on treatment efficacy.
  • To explore the role of immune gene expression signatures in tumor cell vulnerability.

Main Methods:

  • Literature review of published data on oncolytic paramyxoviruses (MV and SeV).
  • Analysis of cell entry mechanisms and receptor usage (proteins for MV, sialylated glycans for SeV).
  • Examination of receptor and immune gene expression in various malignancies.

Main Results:

  • Measles virus (MV) utilizes protein receptors, while Sendai virus (SeV) uses sialylated glycans for cell entry.
  • Receptor expression varies significantly across different cancer types.
  • Low or absent receptor expression on tumor cells can impede successful virotherapy.
  • Immune gene expression signatures also influence tumor cell susceptibility to viral infection.

Conclusions:

  • Tumor cell receptor expression is a critical determinant for oncolytic virus efficacy.
  • A combination of receptor and immune gene expression signatures may guide the selection of optimal oncolytic viruses for specific cancers.
  • Personalized virotherapy approaches could be developed based on these predictive biomarkers.

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