Integrative Proteomic Analysis Reveals VMG Oncolytic Virus-Induced Molecular Reprogramming in Pancreatic Ductal

Omeed Moaven1,2, Sina Aslanabadi2, Amirsalar Mansouri2

  • 1Department of Interdisciplinary Oncology, Louisiana State University (LSU) Health School of Medicine- New Orleans, LA, United States.

Research Square
|July 3, 2026
PubMed

Insights

This study shows VMG, a novel oncolytic virus therapy, effectively treats pancreatic cancer by inducing cell death and slowing tumor growth. Proteomic analysis reveals VMG targets key cancer-driving pathways, offering new therapeutic strategies.

Area of Science:

  • Oncology
  • Virology
  • Proteomics

Background:

  • Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer with poor prognosis.
  • Current treatments for PDAC have limited efficacy, necessitating novel therapeutic approaches.

Purpose of the Study:

  • To investigate the efficacy and mechanism of VMG, a chimeric oncolytic vesiculovirus, as a potential treatment for PDAC.
  • To elucidate the molecular pathways targeted by VMG through proteomic analysis.

Main Methods:

  • In vitro and in vivo efficacy studies of VMG in PDAC cell lines and mouse models.
  • In-depth proteomic analysis of VMG-treated samples.
  • Integration of proteomic data with pathway analysis tools (IPA, KEGG) and The Cancer Genome Atlas (TCGA) for mechanistic insights.

Main Results:

  • VMG treatment demonstrated significant in vitro and in vivo anti-PDAC activity, reducing tumor cell viability, slowing tumor growth, and enhancing survival.
  • Proteomic analysis revealed VMG downregulates proteins crucial for PDAC progression, including those involved in mitochondrial function, DNA repair, and cell cycle control.
  • A significant overlap was observed between VMG-induced proteomic changes and PDAC prognostic markers from TCGA.

Conclusions:

  • VMG exhibits potent oncolytic activity against PDAC through a multifaceted mechanism targeting fundamental cancer processes.
  • VMG represents a promising therapeutic candidate for PDAC, with potential for identifying novel biomarkers and therapeutic targets.