Optimization and preclinical design of genetically engineered viruses for human oncolytic therapy

Donavon C Hiss1, Burtram C Fielding

  • 1University of the Western Cape, Department of Medical Biosciences, Molecular Oncology Research Laboratory, Bellville, 7535, South Africa. dhiss@uwc.ac.za

Abstract

Insights

Optimizing oncolytic viruses (OVs) for cancer therapy requires addressing challenges like tumor heterogeneity and safety. Preclinical development must focus on efficacy and safety for improved cancer virotherapeutics.

Area of Science:

  • Oncolytic virotherapy
  • Cancer gene therapy
  • Biological cancer treatment

Background:

  • Oncolytic viruses (OVs) offer a promising approach in cancer biological and gene therapy.
  • Key challenges include heterogeneous tumor responses, viral pathogenicity, adverse effects, and virus resistance.
  • Developing optimized, targeted, and individualized cancer virotherapeutics is crucial.

Purpose of the Study:

  • To highlight the critical need for preclinical optimization of oncolytic viruses.
  • To address current concerns regarding the efficacy and safety of oncolytic virotherapy.
  • To guide the development of more effective cancer treatments.

Main Methods:

  • Evaluating genetically engineered viral efficacy and safety profiles.
  • Investigating mechanisms of action and synergistic combinations with conventional therapies.
  • Utilizing mathematical modeling for treatment success optimization in heterogeneous tumors.
  • Incorporating lessons from preclinical studies and human clinical trials.

Main Results:

  • Proof-of-principle is essential for preclinical optimization.
  • Addressing tumor heterogeneity is critical for successful OV application.
  • Balancing efficacy and safety is paramount for clinical translation.

Conclusions:

  • Preclinical optimization is vital for targeting diverse cancers with OVs.
  • Prioritizing efficacy and safety concerns is key to advancing oncolytic virotherapy.
  • Further research is needed to overcome current limitations and enhance patient outcomes.