Cargando…

Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer

Immune checkpoint inhibitors (ICIs) are commonly used to treat patients with advanced urothelial cancer. However, a significant number of patients do not respond to ICI, and the lack of validated predictive biomarkers impedes the success of the ICI strategy alone or in combination with chemotherapy...

Descripción completa

Detalles Bibliográficos
Autores principales: Parent, Pauline, Marcq, Gautier, Adeleke, Sola, Turpin, Anthony, Boussios, Stergios, Rassy, Elie, Penel, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486227/
https://www.ncbi.nlm.nih.gov/pubmed/37692364
http://dx.doi.org/10.1177/17588359231192402
_version_ 1785102961168351232
author Parent, Pauline
Marcq, Gautier
Adeleke, Sola
Turpin, Anthony
Boussios, Stergios
Rassy, Elie
Penel, Nicolas
author_facet Parent, Pauline
Marcq, Gautier
Adeleke, Sola
Turpin, Anthony
Boussios, Stergios
Rassy, Elie
Penel, Nicolas
author_sort Parent, Pauline
collection PubMed
description Immune checkpoint inhibitors (ICIs) are commonly used to treat patients with advanced urothelial cancer. However, a significant number of patients do not respond to ICI, and the lack of validated predictive biomarkers impedes the success of the ICI strategy alone or in combination with chemotherapy or targeted therapies. In addition, some patients experience potentially severe adverse events with limited clinical benefit. Therefore, identifying biomarkers of response to ICI is crucial to guide treatment decisions. The most evaluated biomarkers to date are programmed death ligand 1 expression, microsatellite instability/defective mismatch repair phenotype, and tumor mutational burden. Other emerging biomarkers, such as circulating tumor DNA and microbiota, require evaluation in clinical trials. This review aims to examine these biomarkers for ICI response in urothelial cancer and assess their analytical and clinical validation.
format Online
Article
Text
id pubmed-10486227
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-104862272023-09-09 Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer Parent, Pauline Marcq, Gautier Adeleke, Sola Turpin, Anthony Boussios, Stergios Rassy, Elie Penel, Nicolas Ther Adv Med Oncol Review Immune checkpoint inhibitors (ICIs) are commonly used to treat patients with advanced urothelial cancer. However, a significant number of patients do not respond to ICI, and the lack of validated predictive biomarkers impedes the success of the ICI strategy alone or in combination with chemotherapy or targeted therapies. In addition, some patients experience potentially severe adverse events with limited clinical benefit. Therefore, identifying biomarkers of response to ICI is crucial to guide treatment decisions. The most evaluated biomarkers to date are programmed death ligand 1 expression, microsatellite instability/defective mismatch repair phenotype, and tumor mutational burden. Other emerging biomarkers, such as circulating tumor DNA and microbiota, require evaluation in clinical trials. This review aims to examine these biomarkers for ICI response in urothelial cancer and assess their analytical and clinical validation. SAGE Publications 2023-09-07 /pmc/articles/PMC10486227/ /pubmed/37692364 http://dx.doi.org/10.1177/17588359231192402 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Parent, Pauline
Marcq, Gautier
Adeleke, Sola
Turpin, Anthony
Boussios, Stergios
Rassy, Elie
Penel, Nicolas
Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
title Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
title_full Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
title_fullStr Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
title_full_unstemmed Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
title_short Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
title_sort predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486227/
https://www.ncbi.nlm.nih.gov/pubmed/37692364
http://dx.doi.org/10.1177/17588359231192402
work_keys_str_mv AT parentpauline predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer
AT marcqgautier predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer
AT adelekesola predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer
AT turpinanthony predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer
AT boussiosstergios predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer
AT rassyelie predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer
AT penelnicolas predictivebiomarkersforimmunecheckpointinhibitorresponseinurothelialcancer