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Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy
Immunotherapy has revolutionized cancer treatment. Immune-checkpoint inhibitors, on balance, showed a favorable efficacy/toxicity profile with durable response in different cancer types. No predictive biomarker has been validated thus far to select patients who would benefit from therapy. Among the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5523547/ https://www.ncbi.nlm.nih.gov/pubmed/28770222 http://dx.doi.org/10.1155/2017/4719194 |
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author | Viale, Giulia Trapani, Dario Curigliano, Giuseppe |
author_facet | Viale, Giulia Trapani, Dario Curigliano, Giuseppe |
author_sort | Viale, Giulia |
collection | PubMed |
description | Immunotherapy has revolutionized cancer treatment. Immune-checkpoint inhibitors, on balance, showed a favorable efficacy/toxicity profile with durable response in different cancer types. No predictive biomarker has been validated thus far to select patients who would benefit from therapy. Among the candidate predictive biomarkers, mismatch repair status of the tumor is currently one of the most promising. Indeed, tumors displaying mismatch repair deficiency or microsatellite instability showed remarkable response to immunotherapy in clinical trials. This correlation has been first reported in colorectal cancers, but similar results have been observed also in other cancer types. The possible mechanism behind this correlation may be the higher mutational load observed in mismatch repair deficient tumors, leading to neoantigens formation, recruitment of immune cells, and release of proinflammatory factors in the microenvironment. These results support an approach to treatment based on assessment of the genomic stability of the tumor besides its biologic characteristics and may change our therapeutic decision making process. However, due to the small percentage of patients with tumors displaying mismatch repair deficiency, data from clinical trials should not be considered definitive and need further confirmation. |
format | Online Article Text |
id | pubmed-5523547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-55235472017-08-02 Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy Viale, Giulia Trapani, Dario Curigliano, Giuseppe Biomed Res Int Review Article Immunotherapy has revolutionized cancer treatment. Immune-checkpoint inhibitors, on balance, showed a favorable efficacy/toxicity profile with durable response in different cancer types. No predictive biomarker has been validated thus far to select patients who would benefit from therapy. Among the candidate predictive biomarkers, mismatch repair status of the tumor is currently one of the most promising. Indeed, tumors displaying mismatch repair deficiency or microsatellite instability showed remarkable response to immunotherapy in clinical trials. This correlation has been first reported in colorectal cancers, but similar results have been observed also in other cancer types. The possible mechanism behind this correlation may be the higher mutational load observed in mismatch repair deficient tumors, leading to neoantigens formation, recruitment of immune cells, and release of proinflammatory factors in the microenvironment. These results support an approach to treatment based on assessment of the genomic stability of the tumor besides its biologic characteristics and may change our therapeutic decision making process. However, due to the small percentage of patients with tumors displaying mismatch repair deficiency, data from clinical trials should not be considered definitive and need further confirmation. Hindawi 2017 2017-07-10 /pmc/articles/PMC5523547/ /pubmed/28770222 http://dx.doi.org/10.1155/2017/4719194 Text en Copyright © 2017 Giulia Viale et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Viale, Giulia Trapani, Dario Curigliano, Giuseppe Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy |
title | Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy |
title_full | Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy |
title_fullStr | Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy |
title_full_unstemmed | Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy |
title_short | Mismatch Repair Deficiency as a Predictive Biomarker for Immunotherapy Efficacy |
title_sort | mismatch repair deficiency as a predictive biomarker for immunotherapy efficacy |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5523547/ https://www.ncbi.nlm.nih.gov/pubmed/28770222 http://dx.doi.org/10.1155/2017/4719194 |
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