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Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial

PURPOSE: SORAMIC is a randomized controlled trial in patients with advanced hepatocellular carcinoma (HCC) undergoing sorafenib ± selective internal radiation therapy (SIRT). We investigated the value of extracellular vesicle (EV)-based proteomics for treatment response prediction. EXPERIMENTAL DESI...

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Autores principales: Shuen, Timothy Wai Ho, Alunni-Fabbroni, Marianna, Öcal, Elif, Malfertheiner, Peter, Wildgruber, Moritz, Schinner, Regina, Pech, Maciej, Benckert, Julia, Sangro, Bruno, Kuhl, Christiane, Gasbarrini, Antonio, Chow, Pierce Kah Hoe, Toh, Han Chong, Ricke, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433961/
https://www.ncbi.nlm.nih.gov/pubmed/35763041
http://dx.doi.org/10.1158/1078-0432.CCR-22-0569
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author Shuen, Timothy Wai Ho
Alunni-Fabbroni, Marianna
Öcal, Elif
Malfertheiner, Peter
Wildgruber, Moritz
Schinner, Regina
Pech, Maciej
Benckert, Julia
Sangro, Bruno
Kuhl, Christiane
Gasbarrini, Antonio
Chow, Pierce Kah Hoe
Toh, Han Chong
Ricke, Jens
author_facet Shuen, Timothy Wai Ho
Alunni-Fabbroni, Marianna
Öcal, Elif
Malfertheiner, Peter
Wildgruber, Moritz
Schinner, Regina
Pech, Maciej
Benckert, Julia
Sangro, Bruno
Kuhl, Christiane
Gasbarrini, Antonio
Chow, Pierce Kah Hoe
Toh, Han Chong
Ricke, Jens
author_sort Shuen, Timothy Wai Ho
collection PubMed
description PURPOSE: SORAMIC is a randomized controlled trial in patients with advanced hepatocellular carcinoma (HCC) undergoing sorafenib ± selective internal radiation therapy (SIRT). We investigated the value of extracellular vesicle (EV)-based proteomics for treatment response prediction. EXPERIMENTAL DESIGN: The analysis population comprised 25 patients receiving SIRT+sorafenib and 20 patients receiving sorafenib alone. Patients were classified as responders or nonresponders based on changes in AFP and imaging or overall survival. Proteomic analysis was performed on plasma EVs by LC/MS, followed by bioinformatics analysis. Clinical relevance of candidate EV proteins was validated by survival and receiver-operating characteristic analysis with bootstrap internal sampling validation. Origin of circulating EV was explored by IHC staining of liver and tumor tissues and transcriptomics of blood cells. RESULTS: Proteomic analysis identified 56 and 27 EV proteins that were differentially expressed in plasma EVs between responders and nonresponders receiving SIRT+sorafenib and sorafenib alone, respectively. High EV-GPX3/ACTR3 and low EV-ARHGAP1 were identified as candidate biomarkers at baseline from the 13 responders to SIRT+sorafenib with statistically significant AUC = 1 for all and bootstrap P values 2.23 × 10(−5), 2.22 × 10(−5), and 2.23 × 10(−5), respectively. These patients showed reduced abundance of EV-VPS13A and EV-KALRN 6 to 9 weeks after combined treatment with significant AUC and bootstrap P values. In reverse, low GPX3 and high ARHGAP1 demonstrated better response to sorafenib monotherapy with AUC = 0.9697 and 0.9192 as well as bootstrap P values 8.34 × 10(−5) and 7.98 × 10(−4), respectively. HCC tumor was the likely origin of circulating EVs. CONCLUSIONS: In this exploratory study, EV-based proteomics predicted response to SIRT+sorafenib and sorafenib-only treatment in patients with advanced HCC of metabolic origin.
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spelling pubmed-94339612023-01-05 Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial Shuen, Timothy Wai Ho Alunni-Fabbroni, Marianna Öcal, Elif Malfertheiner, Peter Wildgruber, Moritz Schinner, Regina Pech, Maciej Benckert, Julia Sangro, Bruno Kuhl, Christiane Gasbarrini, Antonio Chow, Pierce Kah Hoe Toh, Han Chong Ricke, Jens Clin Cancer Res Translational Cancer Mechanisms and Therapy PURPOSE: SORAMIC is a randomized controlled trial in patients with advanced hepatocellular carcinoma (HCC) undergoing sorafenib ± selective internal radiation therapy (SIRT). We investigated the value of extracellular vesicle (EV)-based proteomics for treatment response prediction. EXPERIMENTAL DESIGN: The analysis population comprised 25 patients receiving SIRT+sorafenib and 20 patients receiving sorafenib alone. Patients were classified as responders or nonresponders based on changes in AFP and imaging or overall survival. Proteomic analysis was performed on plasma EVs by LC/MS, followed by bioinformatics analysis. Clinical relevance of candidate EV proteins was validated by survival and receiver-operating characteristic analysis with bootstrap internal sampling validation. Origin of circulating EV was explored by IHC staining of liver and tumor tissues and transcriptomics of blood cells. RESULTS: Proteomic analysis identified 56 and 27 EV proteins that were differentially expressed in plasma EVs between responders and nonresponders receiving SIRT+sorafenib and sorafenib alone, respectively. High EV-GPX3/ACTR3 and low EV-ARHGAP1 were identified as candidate biomarkers at baseline from the 13 responders to SIRT+sorafenib with statistically significant AUC = 1 for all and bootstrap P values 2.23 × 10(−5), 2.22 × 10(−5), and 2.23 × 10(−5), respectively. These patients showed reduced abundance of EV-VPS13A and EV-KALRN 6 to 9 weeks after combined treatment with significant AUC and bootstrap P values. In reverse, low GPX3 and high ARHGAP1 demonstrated better response to sorafenib monotherapy with AUC = 0.9697 and 0.9192 as well as bootstrap P values 8.34 × 10(−5) and 7.98 × 10(−4), respectively. HCC tumor was the likely origin of circulating EVs. CONCLUSIONS: In this exploratory study, EV-based proteomics predicted response to SIRT+sorafenib and sorafenib-only treatment in patients with advanced HCC of metabolic origin. American Association for Cancer Research 2022-09-01 2022-06-28 /pmc/articles/PMC9433961/ /pubmed/35763041 http://dx.doi.org/10.1158/1078-0432.CCR-22-0569 Text en ©2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Translational Cancer Mechanisms and Therapy
Shuen, Timothy Wai Ho
Alunni-Fabbroni, Marianna
Öcal, Elif
Malfertheiner, Peter
Wildgruber, Moritz
Schinner, Regina
Pech, Maciej
Benckert, Julia
Sangro, Bruno
Kuhl, Christiane
Gasbarrini, Antonio
Chow, Pierce Kah Hoe
Toh, Han Chong
Ricke, Jens
Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial
title Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial
title_full Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial
title_fullStr Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial
title_full_unstemmed Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial
title_short Extracellular Vesicles May Predict Response to Radioembolization and Sorafenib Treatment in Advanced Hepatocellular Carcinoma: An Exploratory Analysis from the SORAMIC Trial
title_sort extracellular vesicles may predict response to radioembolization and sorafenib treatment in advanced hepatocellular carcinoma: an exploratory analysis from the soramic trial
topic Translational Cancer Mechanisms and Therapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433961/
https://www.ncbi.nlm.nih.gov/pubmed/35763041
http://dx.doi.org/10.1158/1078-0432.CCR-22-0569
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