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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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 |
work_keys_str_mv |
AT mariasacramentodiazcarrasco predictivebiomarkersofresponsetoimmunecheckpointinhibitors AT evagonzalezhaba predictivebiomarkersofresponsetoimmunecheckpointinhibitors AT juanainesgarciasoler predictivebiomarkersofresponsetoimmunecheckpointinhibitors AT albertoespunymiro predictivebiomarkersofresponsetoimmunecheckpointinhibitors |
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1724601979169144832 |