Predictive biomarkers of response to immune checkpoint inhibitors

Objective: The present paper provides a literature review aimed at identifying the tumor-dependent factors capable of influencing a subject’s response to immune checkpoint inhibitors, with a special emphasis on those that may act as predictive biomarkers. Method: A search was performed of the t...

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Main Authors: María Sacramento Díaz-Carrasco, Eva González-Haba, Juana Inés García-Soler, Alberto Espuny-Miró
Format: Article
Language:English
Published: Grupo Aula Médica 2020-07-01
Series:Farmacia Hospitalaria
Subjects:
Online Access:http://www.aulamedica.es/fh/pdf/11328.pdf
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spelling doaj-07a72a06d245427eabb8a672cbb0142e2020-11-25T03:24:22ZengGrupo Aula MédicaFarmacia Hospitalaria1130-63432171-86952020-07-0144414114810.7399/fh.11328Predictive biomarkers of response to immune checkpoint inhibitorsMaría Sacramento Díaz-Carrasco0Eva González-Haba1Juana Inés García-Soler2Alberto Espuny-Miró3Department of Pharmacy, Hospital Clínico Universitario Virgen de la Arrixaca, El Palmar, Murcia. SpainDepartment of Pharmacy, Hospital Gregorio Marañón, Madrid. SpainDepartment of Pharmacy, Hospital Clínico Universitario Virgen de la Arrixaca, El Palmar, Murcia. SpainDepartment of Pharmacy, Hospital Clínico Universitario Virgen de la Arrixaca, El Palmar, Murcia. SpainObjective: The present paper provides a literature review aimed at identifying the tumor-dependent factors capable of influencing a subject’s response to immune checkpoint inhibitors, with a special emphasis on those that may act as predictive biomarkers. Method: A search was performed of the terms biomarkers, PD-1, PD- L1, CTLA-4, and checkpoint inhibitors in the title and the abstract of the records in the PubMed database. Articles including relevant information on the tumor-dependent factors capable of influencing a subject’s response of immune checkpoint inhibitors were selected. Priority was given to studies in humans (clinical trials and reviews) published between January 2015 and June 2019, in English and Spanish. Results: The literature review exposed the complex relationship that xists between the immune system and tumors. It also revealed that the factors capable of influencing a subject’s response to immune checkpoint inhibitors are multiple, heterogeneous and ill understood, which makes it difficult to obtain simple and/or universal predictive biomarkers. Conclusions: The only biomarkers currently used in clinical practice include the expression of the programmed cell death ligand-1 and microsatellite instability/ deficient DNA mismatch repair, but their usefulness is limited. Tumor mutational burden and gene signatures associated to IFN-γ could become useful biomarkers once determination techniques and cutoff points are systematized. http://www.aulamedica.es/fh/pdf/11328.pdfbiomarkersimmune checkpoint inhibitorsimmunotherapyprogrammed cell death-1 receptor
collection DOAJ
language English
format Article
sources DOAJ
author María Sacramento Díaz-Carrasco
Eva González-Haba
Juana Inés García-Soler
Alberto Espuny-Miró
spellingShingle María Sacramento Díaz-Carrasco
Eva González-Haba
Juana Inés García-Soler
Alberto Espuny-Miró
Predictive biomarkers of response to immune checkpoint inhibitors
Farmacia Hospitalaria
biomarkers
immune checkpoint inhibitors
immunotherapy
programmed cell death-1 receptor
author_facet María Sacramento Díaz-Carrasco
Eva González-Haba
Juana Inés García-Soler
Alberto Espuny-Miró
author_sort María Sacramento Díaz-Carrasco
title Predictive biomarkers of response to immune checkpoint inhibitors
title_short Predictive biomarkers of response to immune checkpoint inhibitors
title_full Predictive biomarkers of response to immune checkpoint inhibitors
title_fullStr Predictive biomarkers of response to immune checkpoint inhibitors
title_full_unstemmed Predictive biomarkers of response to immune checkpoint inhibitors
title_sort predictive biomarkers of response to immune checkpoint inhibitors
publisher Grupo Aula Médica
series Farmacia Hospitalaria
issn 1130-6343
2171-8695
publishDate 2020-07-01
description Objective: The present paper provides a literature review aimed at identifying the tumor-dependent factors capable of influencing a subject’s response to immune checkpoint inhibitors, with a special emphasis on those that may act as predictive biomarkers. Method: A search was performed of the terms biomarkers, PD-1, PD- L1, CTLA-4, and checkpoint inhibitors in the title and the abstract of the records in the PubMed database. Articles including relevant information on the tumor-dependent factors capable of influencing a subject’s response of immune checkpoint inhibitors were selected. Priority was given to studies in humans (clinical trials and reviews) published between January 2015 and June 2019, in English and Spanish. Results: The literature review exposed the complex relationship that xists between the immune system and tumors. It also revealed that the factors capable of influencing a subject’s response to immune checkpoint inhibitors are multiple, heterogeneous and ill understood, which makes it difficult to obtain simple and/or universal predictive biomarkers. Conclusions: The only biomarkers currently used in clinical practice include the expression of the programmed cell death ligand-1 and microsatellite instability/ deficient DNA mismatch repair, but their usefulness is limited. Tumor mutational burden and gene signatures associated to IFN-γ could become useful biomarkers once determination techniques and cutoff points are systematized.
topic biomarkers
immune checkpoint inhibitors
immunotherapy
programmed cell death-1 receptor
url http://www.aulamedica.es/fh/pdf/11328.pdf
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AT albertoespunymiro predictivebiomarkersofresponsetoimmunecheckpointinhibitors
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