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Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer
Immunotherapy is revolutionising cancer treatment and has already emerged as standard treatment for patients with recurrent or metastatic gastric cancer (GC). Recent research has been focused on identifying robust predictive biomarkers for GC treated with immune checkpoint inhibitors (ICIs). The exp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440716/ https://www.ncbi.nlm.nih.gov/pubmed/32817133 http://dx.doi.org/10.1136/esmoopen-2020-000791 |
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author | Kang, Byung Woog Chau, Ian |
author_facet | Kang, Byung Woog Chau, Ian |
author_sort | Kang, Byung Woog |
collection | PubMed |
description | Immunotherapy is revolutionising cancer treatment and has already emerged as standard treatment for patients with recurrent or metastatic gastric cancer (GC). Recent research has been focused on identifying robust predictive biomarkers for GC treated with immune checkpoint inhibitors (ICIs). The expression of programmed cell death protein-ligand-1 (PD-L1) is considered a manifestation of immune response evasion, and several studies have already reported the potential of PD-L1 expression as a predictive parameter for various human malignancies. Meanwhile, based on comprehensive molecular characterisation of GC, testing for Epstein-Barr virus and microsatellite instability is a potential predictive biomarker. Culminating evidence suggests that novel biomarkers, such as the tumour mutational burden and gene expression signature, could indicate the success of treatment with ICIs. However, the exact roles of these biomarkers in GC treated with ICIs remain unclear. Therefore, this study reviews recent scientific data on current and emerging biomarkers for ICIs in GC, which have potential to improve treatment outcomes. |
format | Online Article Text |
id | pubmed-7440716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74407162020-08-28 Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer Kang, Byung Woog Chau, Ian ESMO Open Review Immunotherapy is revolutionising cancer treatment and has already emerged as standard treatment for patients with recurrent or metastatic gastric cancer (GC). Recent research has been focused on identifying robust predictive biomarkers for GC treated with immune checkpoint inhibitors (ICIs). The expression of programmed cell death protein-ligand-1 (PD-L1) is considered a manifestation of immune response evasion, and several studies have already reported the potential of PD-L1 expression as a predictive parameter for various human malignancies. Meanwhile, based on comprehensive molecular characterisation of GC, testing for Epstein-Barr virus and microsatellite instability is a potential predictive biomarker. Culminating evidence suggests that novel biomarkers, such as the tumour mutational burden and gene expression signature, could indicate the success of treatment with ICIs. However, the exact roles of these biomarkers in GC treated with ICIs remain unclear. Therefore, this study reviews recent scientific data on current and emerging biomarkers for ICIs in GC, which have potential to improve treatment outcomes. BMJ Publishing Group 2020-08-19 /pmc/articles/PMC7440716/ /pubmed/32817133 http://dx.doi.org/10.1136/esmoopen-2020-000791 Text en © Author (s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ on behalf of the European Society for Medical Oncology. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, any changes made are indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Review Kang, Byung Woog Chau, Ian Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
title | Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
title_full | Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
title_fullStr | Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
title_full_unstemmed | Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
title_short | Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
title_sort | current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440716/ https://www.ncbi.nlm.nih.gov/pubmed/32817133 http://dx.doi.org/10.1136/esmoopen-2020-000791 |
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