Breaking Barriers: A Future Perspective on Glioblastoma Therapy with mRNA-Based Immunotherapies and Oncolytic Viruses.
Alexandro GuterresPaulo Niemeyer Soares FilhoVivaldo Moura NetoPublished in: Vaccines (2024)
The use of mRNA-based immunotherapies that leverage the genomes of oncolytic viruses holds significant promise in addressing glioblastoma (GBM), an exceptionally aggressive neurological tumor. We explore the significance of mRNA-based platforms in the area of immunotherapy, introducing an innovative approach to mitigate the risks associated with the use of live viruses in cancer treatment. The ability to customize oncolytic virus genome sequences enables researchers to precisely target specific cancer cells, either through viral genome segments containing structural proteins or through a combination of regions with oncolytic potential. This strategy may enhance treatment effectiveness while minimizing unintended impacts on non-cancerous cells. A notable case highlighted here pertains to advanced findings regarding the application of the Zika virus (ZIKV) in GBM treatment. ZIKV, a member of the family Flaviviridae, shows oncolytic properties against GBM, opening novel therapeutic avenues. We explore intensive investigations of glioblastoma stem cells, recognized as key drivers in GBM initiation, progression, and resistance to therapy. However, a comprehensive elucidation of ZIKV's underlying mechanisms is imperative to pave the way for ZIKV-based clinical trials targeting GBM patients. This investigation into harnessing the potential of oncolytic-virus genomes for mRNA-based immunotherapies underscores its noteworthy implications, potentially paving the way for a paradigm shift in cancer treatment strategies.
Keyphrases
- zika virus
- dengue virus
- stem cells
- clinical trial
- aedes aegypti
- end stage renal disease
- binding protein
- systematic review
- human health
- randomized controlled trial
- chronic kidney disease
- newly diagnosed
- sars cov
- genome wide
- big data
- squamous cell carcinoma
- cell therapy
- dna methylation
- papillary thyroid
- cell proliferation
- artificial intelligence
- bone marrow
- lymph node metastasis
- open label
- deep learning
- endoplasmic reticulum stress
- subarachnoid hemorrhage
- disease virus