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Relevance of mutation-derived neoantigens and non-classical antigens for anticancer therapies.
Aparicio, Belen; Theunissen, Patrick; Hervas-Stubbs, Sandra; Fortes, Puri; Sarobe, Pablo.
Afiliação
  • Aparicio B; Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA) University of Navarra, Pamplona, Spain.
  • Theunissen P; Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain.
  • Hervas-Stubbs S; Navarra Institute for Health Research (IDISNA), Pamplona, Spain.
  • Fortes P; CIBERehd, Pamplona, Spain.
  • Sarobe P; Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain.
Hum Vaccin Immunother ; 20(1): 2303799, 2024 Dec 31.
Article em En | MEDLINE | ID: mdl-38346926
ABSTRACT
Efficacy of cancer immunotherapies relies on correct recognition of tumor antigens by lymphocytes, eliciting thus functional responses capable of eliminating tumor cells. Therefore, important efforts have been carried out in antigen identification, with the aim of understanding mechanisms of response to immunotherapy and to design safer and more efficient strategies. In addition to classical tumor-associated antigens identified during the last decades, implementation of next-generation sequencing methodologies is enabling the identification of neoantigens (neoAgs) arising from mutations, leading to the development of new neoAg-directed therapies. Moreover, there are numerous non-classical tumor antigens originated from other sources and identified by new methodologies. Here, we review the relevance of neoAgs in different immunotherapies and the results obtained by applying neoAg-based strategies. In addition, the different types of non-classical tumor antigens and the best approaches for their identification are described. This will help to increase the spectrum of targetable molecules useful in cancer immunotherapies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article