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Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma
The global burden of hepatocellular carcinoma (HCC), one of the frequent causes of cancer-related deaths worldwide, is rapidly increasing partly due to the limited treatment options available for this disease and recurrence due to therapy resistance. Immune checkpoint inhibitors that are proved to b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053505/ https://www.ncbi.nlm.nih.gov/pubmed/30057891 http://dx.doi.org/10.3389/fonc.2018.00269 |
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author | Shrestha, Ritu Prithviraj, Prashanth Anaka, Matthew Bridle, Kim R. Crawford, Darrell H. G. Dhungel, Bijay Steel, Jason C. Jayachandran, Aparna |
author_facet | Shrestha, Ritu Prithviraj, Prashanth Anaka, Matthew Bridle, Kim R. Crawford, Darrell H. G. Dhungel, Bijay Steel, Jason C. Jayachandran, Aparna |
author_sort | Shrestha, Ritu |
collection | PubMed |
description | The global burden of hepatocellular carcinoma (HCC), one of the frequent causes of cancer-related deaths worldwide, is rapidly increasing partly due to the limited treatment options available for this disease and recurrence due to therapy resistance. Immune checkpoint inhibitors that are proved to be beneficial in the treatment of advanced melanoma and other cancer types are currently in clinical trials in HCC. These ongoing trials are testing the efficacy and safety of a few select checkpoints in HCC. Similar to observations in other cancers, these immune checkpoint blockade treatments as monotherapy may benefit only a fraction of HCC patients. Studies that assess the prevalence and distribution of other immune checkpoints/modulatory molecules in HCC have been limited. Moreover, robust predictors to identify which HCC patients will respond to immunotherapy are currently lacking. The objective of this study is to perform a comprehensive evaluation on different immune modulators as predictive biomarkers to monitor HCC patients at high risk for poor prognosis. We screened publically available HCC patient databases for the expression of previously well described immune checkpoint regulators and evaluated the usefulness of these immune modulators to predict high risk, patient overall survival and recurrence. We also identified the immune modulators that synergized with known immune evasion molecules programmed death receptor ligand-1 (PD-L1), programmed cell death protein-1 (PD-1), and cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) and correlated with worse patient outcomes. We evaluated the association between the expression of epithelial-to-mesenchymal transition (EMT) markers and PD-L1 in HCC patient tumors. We also examined the relationship of tumor mutational burden with HCC patient survival. Notably, expression of immune modulators B7-H4, PD-L2, TIM-3, and VISTA were independently associated with worse prognosis, while B7-H4, CD73, and VISTA predicted low recurrence-free survival. Moreover, the prognosis of patients expressing high PD-L1 with high B7-H4, TIM-3, VISTA, CD73, and PD-L2 expression was significantly worse. Interestingly, PD-L1 expression in HCC patients in the high-risk group was closely associated with EMT marker expression and prognosticates poor survival. In HCC patients, high tumor mutational burden (TMB) predicted worse patient outcomes than those with low TMB. |
format | Online Article Text |
id | pubmed-6053505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60535052018-07-27 Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma Shrestha, Ritu Prithviraj, Prashanth Anaka, Matthew Bridle, Kim R. Crawford, Darrell H. G. Dhungel, Bijay Steel, Jason C. Jayachandran, Aparna Front Oncol Oncology The global burden of hepatocellular carcinoma (HCC), one of the frequent causes of cancer-related deaths worldwide, is rapidly increasing partly due to the limited treatment options available for this disease and recurrence due to therapy resistance. Immune checkpoint inhibitors that are proved to be beneficial in the treatment of advanced melanoma and other cancer types are currently in clinical trials in HCC. These ongoing trials are testing the efficacy and safety of a few select checkpoints in HCC. Similar to observations in other cancers, these immune checkpoint blockade treatments as monotherapy may benefit only a fraction of HCC patients. Studies that assess the prevalence and distribution of other immune checkpoints/modulatory molecules in HCC have been limited. Moreover, robust predictors to identify which HCC patients will respond to immunotherapy are currently lacking. The objective of this study is to perform a comprehensive evaluation on different immune modulators as predictive biomarkers to monitor HCC patients at high risk for poor prognosis. We screened publically available HCC patient databases for the expression of previously well described immune checkpoint regulators and evaluated the usefulness of these immune modulators to predict high risk, patient overall survival and recurrence. We also identified the immune modulators that synergized with known immune evasion molecules programmed death receptor ligand-1 (PD-L1), programmed cell death protein-1 (PD-1), and cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) and correlated with worse patient outcomes. We evaluated the association between the expression of epithelial-to-mesenchymal transition (EMT) markers and PD-L1 in HCC patient tumors. We also examined the relationship of tumor mutational burden with HCC patient survival. Notably, expression of immune modulators B7-H4, PD-L2, TIM-3, and VISTA were independently associated with worse prognosis, while B7-H4, CD73, and VISTA predicted low recurrence-free survival. Moreover, the prognosis of patients expressing high PD-L1 with high B7-H4, TIM-3, VISTA, CD73, and PD-L2 expression was significantly worse. Interestingly, PD-L1 expression in HCC patients in the high-risk group was closely associated with EMT marker expression and prognosticates poor survival. In HCC patients, high tumor mutational burden (TMB) predicted worse patient outcomes than those with low TMB. Frontiers Media S.A. 2018-07-13 /pmc/articles/PMC6053505/ /pubmed/30057891 http://dx.doi.org/10.3389/fonc.2018.00269 Text en Copyright © 2018 Shrestha, Prithviraj, Anaka, Bridle, Crawford, Dhungel, Steel and Jayachandran. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Shrestha, Ritu Prithviraj, Prashanth Anaka, Matthew Bridle, Kim R. Crawford, Darrell H. G. Dhungel, Bijay Steel, Jason C. Jayachandran, Aparna Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma |
title | Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma |
title_full | Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma |
title_fullStr | Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma |
title_full_unstemmed | Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma |
title_short | Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma |
title_sort | monitoring immune checkpoint regulators as predictive biomarkers in hepatocellular carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053505/ https://www.ncbi.nlm.nih.gov/pubmed/30057891 http://dx.doi.org/10.3389/fonc.2018.00269 |
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