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Integrase-Defective Lentiviral Vector Is an Efficient Vaccine Platform for Cancer Immunotherapy
- Source :
- Viruses, Vol 13, Iss 355, p 355 (2021), Viruses, Volume 13, Issue 2
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Integrase-defective lentiviral vectors (IDLVs) have been used as a safe and efficient delivery system in several immunization protocols in murine and non-human primate preclinical models as well as in recent clinical trials. In this work, we validated in preclinical murine models our vaccine platform based on IDLVs as delivery system for cancer immunotherapy. To evaluate the anti-tumor activity of our vaccine strategy we generated IDLV delivering ovalbumin (OVA) as a non-self-model antigen and TRP2 as a self-tumor associated antigen (TAA) of melanoma. Results demonstrated the ability of IDLVs to eradicate and/or controlling tumor growth after a single immunization in preventive and therapeutic approaches, using lymphoma and melanoma expressing OVA. Importantly, LV-TRP2 but not IDLV-TRP2 was able to break tolerance efficiently and prevent tumor growth of B16F10 melanoma cells. In order to improve the IDLV efficacy, the human homologue of murine TRP2 was used, showing the ability to break tolerance and control the tumor growth. These results validate the use of IDLV for cancer therapy.
- Subjects :
- 0301 basic medicine
Male
tumor
immune tolerance
medicine.medical_treatment
Genetic Vectors
lcsh:QR1-502
Cancer Vaccines
Article
lcsh:Microbiology
Viral vector
Immune tolerance
03 medical and health sciences
Mice
0302 clinical medicine
Antigen
Cancer immunotherapy
lentiviral vector: vaccine
Virology
medicine
Animals
Humans
Melanoma
biology
Integrases
business.industry
Lentivirus
Vaccination
Immunotherapy
medicine.disease
3. Good health
Integrase
Intramolecular Oxidoreductases
Mice, Inbred C57BL
030104 developmental biology
Infectious Diseases
Immunization
030220 oncology & carcinogenesis
biology.protein
Cancer research
tumor associated antigen
immunotherapy
business
Subjects
Details
- Language :
- English
- ISSN :
- 19994915
- Volume :
- 13
- Issue :
- 355
- Database :
- OpenAIRE
- Journal :
- Viruses
- Accession number :
- edsair.doi.dedup.....63fd97be99dc80fd077cbad8fc119b56