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

Author:

Shuen Timothy Wai Ho1,Alunni-Fabbroni Marianna2ORCID,Öcal Elif2,Malfertheiner Peter23ORCID,Wildgruber Moritz2,Schinner Regina2,Pech Maciej4ORCID,Benckert Julia5,Sangro Bruno6ORCID,Kuhl Christiane7ORCID,Gasbarrini Antonio8,Chow Pierce Kah Hoe910ORCID,Toh Han Chong1,Ricke Jens2ORCID

Affiliation:

1. 1Division of Medical Oncology, National Cancer Centre Singapore, Singapore.

2. 2Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

3. 3Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.

4. 4Department of Radiology and Nuclear Medicine, University of Magdeburg, Magdeburg, Germany.

5. 5Department of Hepatology and Gastroenterology, Charité University Hospital, Berlin, Germany.

6. 6Liver Unit, Clinica Universidad de Navarra-IDISNA and CIBEREHD, Pamplona, Spain.

7. 7University Hospital of RWTH Aachen, Aachen, Germany.

8. 8Internal Medicine, Gastroenterology and Hepatic Disease Unit, IRCCS Fondazione; Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, Rome, Italy.

9. 9Division of Surgery and Surgical Oncology, Department of Hepatopancreatobiliary and Transplantation Surgery, National Cancer Centre Singapore and Singapore General Hospital, Singapore.

10. 10Surgery Academic Clinical Program, Duke-NUS Medical School Singapore, Singapore.

Abstract

Abstract 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.

Funder

Singapore National Medical Research Council

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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