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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...

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Autores principales: Lee, Choong-kun, Chan, Stephen L., Chon, Hong Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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