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Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma?
SIMPLE SUMMARY: The use of anti-programmed cell-death protein (ligand)-1 (PD-[L]1) is now a standard of care for treating hepatocellular carcinoma (HCC). However, the treatment only benefits 10–20% of patients when used as a monotherapy. The unique environments of hepatitis and/or cirrhosis, which c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264773/ https://www.ncbi.nlm.nih.gov/pubmed/35804984 http://dx.doi.org/10.3390/cancers14133213 |
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author | Lee, Choong-kun Chan, Stephen L. Chon, Hong Jae |
author_facet | Lee, Choong-kun Chan, Stephen L. Chon, Hong Jae |
author_sort | Lee, Choong-kun |
collection | PubMed |
description | SIMPLE SUMMARY: The use of anti-programmed cell-death protein (ligand)-1 (PD-[L]1) is now a standard of care for treating hepatocellular carcinoma (HCC). However, the treatment only benefits 10–20% of patients when used as a monotherapy. The unique environments of hepatitis and/or cirrhosis, which continuously interact with the hosts’ immune systems, make it difficult to find appropriate biomarkers to predict the response or lack of response of anti-PD-1/PD-L1 treatment in HCC. The current review aimed to present both clinical and translational biomarkers for anti-PD-1/PD-L1 treatment in HCC. ABSTRACT: The use of anti-programmed cell-death protein (ligand)-1 (PD-[L]1) is an important strategy for treating hepatocellular carcinoma (HCC). However, the treatment only benefits 10–20% of patients when used as a monotherapy. Therefore, the selection of patients for anti-PD-1/PD-L1 treatment is crucial for both patients and clinicians. This review aimed to explore the existing literature on tissue or circulating markers for the identification of responders or non-responders to anti-PD-1/PD-L1 in HCC. For the clinically available markers, both etiological factors (viral versus non-viral) and disease extent (intra-hepatic vs. extrahepatic) impact the responses to anti-PD-1/PD-L1, warranting further studies. Preliminary data suggested that inflammatory indices (e.g., neutrophil-lymphocyte ratio) may be associated with clinical outcomes of HCC during the anti-PD-1/PD-L1 treatment. Finally, although PD-L1 expression in tumor tissues is a predictive marker for multiple cancer types, its clinical application is less clear in HCC due to the lack of a clear-cut association with responders to anti-PD-1/PD-L1 treatment. Although all translational markers are not routinely measured in HCC, recent data suggest their potential roles in selecting patients for anti-PD-1/PD-L1 treatment. Such markers, including the immune classification of HCC, selected signaling pathways, tumor-infiltrating lymphocytes, and auto-antibodies, were discussed in this review. |
format | Online Article Text |
id | pubmed-9264773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92647732022-07-09 Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? Lee, Choong-kun Chan, Stephen L. Chon, Hong Jae Cancers (Basel) Review SIMPLE SUMMARY: The use of anti-programmed cell-death protein (ligand)-1 (PD-[L]1) is now a standard of care for treating hepatocellular carcinoma (HCC). However, the treatment only benefits 10–20% of patients when used as a monotherapy. The unique environments of hepatitis and/or cirrhosis, which continuously interact with the hosts’ immune systems, make it difficult to find appropriate biomarkers to predict the response or lack of response of anti-PD-1/PD-L1 treatment in HCC. The current review aimed to present both clinical and translational biomarkers for anti-PD-1/PD-L1 treatment in HCC. ABSTRACT: The use of anti-programmed cell-death protein (ligand)-1 (PD-[L]1) is an important strategy for treating hepatocellular carcinoma (HCC). However, the treatment only benefits 10–20% of patients when used as a monotherapy. Therefore, the selection of patients for anti-PD-1/PD-L1 treatment is crucial for both patients and clinicians. This review aimed to explore the existing literature on tissue or circulating markers for the identification of responders or non-responders to anti-PD-1/PD-L1 in HCC. For the clinically available markers, both etiological factors (viral versus non-viral) and disease extent (intra-hepatic vs. extrahepatic) impact the responses to anti-PD-1/PD-L1, warranting further studies. Preliminary data suggested that inflammatory indices (e.g., neutrophil-lymphocyte ratio) may be associated with clinical outcomes of HCC during the anti-PD-1/PD-L1 treatment. Finally, although PD-L1 expression in tumor tissues is a predictive marker for multiple cancer types, its clinical application is less clear in HCC due to the lack of a clear-cut association with responders to anti-PD-1/PD-L1 treatment. Although all translational markers are not routinely measured in HCC, recent data suggest their potential roles in selecting patients for anti-PD-1/PD-L1 treatment. Such markers, including the immune classification of HCC, selected signaling pathways, tumor-infiltrating lymphocytes, and auto-antibodies, were discussed in this review. MDPI 2022-06-30 /pmc/articles/PMC9264773/ /pubmed/35804984 http://dx.doi.org/10.3390/cancers14133213 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Lee, Choong-kun Chan, Stephen L. Chon, Hong Jae Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? |
title | Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? |
title_full | Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? |
title_fullStr | Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? |
title_full_unstemmed | Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? |
title_short | Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma? |
title_sort | could we predict the response of immune checkpoint inhibitor treatment in hepatocellular carcinoma? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264773/ https://www.ncbi.nlm.nih.gov/pubmed/35804984 http://dx.doi.org/10.3390/cancers14133213 |
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