Armored modified vaccinia Ankara in cancer immunotherapy.

Cancer vaccine Immunomodulatory molecules Modified vaccinia Ankara Routes of administration Tumor-associated antigens

Journal

International review of cell and molecular biology
ISSN: 1937-6448
Titre abrégé: Int Rev Cell Mol Biol
Pays: Netherlands
ID NLM: 101475846

Informations de publication

Date de publication:
2023
Historique:
medline: 7 8 2023
pubmed: 5 8 2023
entrez: 4 8 2023
Statut: ppublish

Résumé

Cancer immunotherapy relies on unleashing the patient´s immune system against tumor cells. Cancer vaccines aim to stimulate both the innate and adaptive arms of immunity to achieve durable clinical responses. Some roadblocks for a successful cancer vaccine in the clinic include the tumor antigen of choice, the adjuvants employed to strengthen antitumor-specific immune responses, and the risks associated with enhancing immune-related adverse effects in patients. Modified vaccinia Ankara (MVA) belongs to the family of poxviruses and is a versatile vaccine platform that combines several attributes crucial for cancer therapy. First, MVA is an excellent inducer of innate immune responses leading to type I interferon secretion and induction of T helper cell type 1 (Th1) immune responses. Second, it elicits robust and durable humoral and cellular immunity against vector-encoded heterologous antigens. Third, MVA has enormous genomic flexibility, which allows for the expression of multiple antigenic and costimulatory entities. And fourth, its replication deficit in human cells ensures a excellent safety profile. In this review, we summarize the current understanding of how MVA induces innate and adaptive immune responses. Furthermore, we will give an overview of the tumor-associated antigens and immunomodulatory molecules that have been used to armor MVA and describe their clinical use. Finally, the route of MVA immunization and its impact on therapeutic efficacy depending on the immunomodulatory molecules expressed will be discussed.

Identifiants

pubmed: 37541728
pii: S1937-6448(23)00065-5
doi: 10.1016/bs.ircmb.2023.05.003
pii:
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

87-142

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Cigdem Atay (C)

Bavarian Nordic GmbH, Fraunhoferstr.13, Planegg, Germany.

José Medina-Echeverz (J)

Bavarian Nordic GmbH, Fraunhoferstr.13, Planegg, Germany.

Hubertus Hochrein (H)

Bavarian Nordic GmbH, Fraunhoferstr.13, Planegg, Germany.

Mark Suter (M)

Prof. em. University of Zurich, Switzerland.

Maria Hinterberger (M)

Bavarian Nordic GmbH, Fraunhoferstr.13, Planegg, Germany. Electronic address: mahi@bavarian-nordic.com.

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Classifications MeSH