Systemic blood immune cell populations as biomarkers for the outcome of immune checkpoint inhibitor therapies

dc.contributor.authorHernández, Carlos
dc.contributor.authorArasanz Esteban, Hugo
dc.contributor.authorChocarro de Erauso, Luisa
dc.contributor.authorBocanegra Gondán, Ana Isabel
dc.contributor.authorZuazo Ibarra, Miren
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernuaes
dc.date.accessioned2021-02-04T12:24:47Z
dc.date.available2021-02-04T12:24:47Z
dc.date.issued2020
dc.description.abstractThe development of cancer immunotherapy in the last decade has followed a vertiginous rhythm. Nowadays, immune checkpoint inhibitors (ICI) which include anti-CTLA4, anti-PD-1 and anti-PD-L1 antibodies are in clinical use for the treatment of numerous cancers. However, approximately only a third of the patients benefit from ICI therapies. Many efforts have been made for the identification of biomarkers allowing patient stratification into potential responders and progressors before the start of ICI therapies or for monitoring responses during treatment. While much attention is centered on biomarkers from the tumor microenvironment, in many cases biopsies are not available. The identification of systemic immune cell subsets that correlate with responses could provide promising biomarkers. Some of them have been reported to influence the response to ICI therapies, such as proliferation and activation status of CD8 and CD4 T cells, the expression of immune checkpoints in peripheral blood cells and the relative numbers of immunosuppressive cells such as regulatory T cells and myeloid-derived suppressor cells. In addition, the profile of soluble factors in plasma samples could be associated to response or tumor progression. Here we will review the cellular subsets associated to response or progression in different studies and discuss their accuracy in diagnosis.en
dc.description.sponsorshipThe Oncoimmunology group is funded by Asociación Española Contra el Cáncer, (AECC PROYE16001ESCO); Instituto de Salud Carlos III, Spain, (FIS grant PI17/02119); and a 'Precipita' Crowdfunding grant (FECYT), no grant number; Government of Navarre grant (BMED 050-2019); Independent Clinical Research Projects Call (Instituto de Salud Carlos III, Spain; TRANSPOCART); Proyectos estratégicos I+D, Departamento de Industria, Gobierno de Navarra (DESCARTHES). C.H. is supported by a Roche fellowship 'Stop fuga de cerebros'. M.Z. is supported by a scholarship from Universidad Publica de Navarra; H.A. is supported by a junior clinical scholarship from AECC.en
dc.format.extent13 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/ijms21072411
dc.identifier.issn1422-0067 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/39150
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofInternational Journal of Molecular Sciences, 2020, 21(7), 2411en
dc.relation.publisherversionhttps://doi.org/10.3390/ijms21072411
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectImmunotherapyen
dc.subjectImmune checkpoint inhibitorsen
dc.subjectSystemic blood subsetsen
dc.subjectCD4+en
dc.subjectCD8+en
dc.subjectMDSCsen
dc.titleSystemic blood immune cell populations as biomarkers for the outcome of immune checkpoint inhibitor therapiesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationfe5c362e-3c0c-4edb-aa2e-0de27c815ad2
relation.isAuthorOfPublication193d800d-c38c-4627-b9d8-d29435d8214c
relation.isAuthorOfPublication.latestForDiscoveryfe5c362e-3c0c-4edb-aa2e-0de27c815ad2

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