Josep M. Llovet
约瑟普·略韦特
MD, PhD
Professor of Medicine; Director, Liver Cancer Program, Tisch Cancer Institute; Founding Director, Mount Sinai Liver Cancer Research Program医学教授,肝癌项目主任,蒂施癌症研究所
👥Biography 个人简介
Josep M. Llovet, MD, PhD is Professor of Medicine at the Icahn School of Medicine at Mount Sinai and one of the most influential figures in hepatocellular carcinoma (HCC) research worldwide. He led the landmark SHARP trial—the phase III study that established sorafenib as the first systemic therapy to prolong survival in advanced HCC—transforming a disease with no prior effective systemic options and defining the modern era of HCC medical oncology. Dr. Llovet co-developed and continually refined the Barcelona Clinic Liver Cancer (BCLC) staging and treatment allocation system, which has become the globally adopted framework for HCC clinical management and trial design. His laboratory has systematically characterized HCC molecular subclasses, identifying Wnt/β-catenin activation, MYC amplification, and specific immune microenvironment subtypes as determinants of prognosis and therapeutic sensitivity. More recently, he has been a principal investigator and scientific leader for studies of atezolizumab plus bevacizumab and other immunotherapy-based combinations that have reshaped first-line HCC treatment. Dr. Llovet has published over 400 peer-reviewed articles with an h-index exceeding 110 and has received the AASLD Distinguished Scientific Achievement Award and EASL Recognition Award, among numerous honors.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
SHARP Trial — Sorafenib in Advanced HCC
Led the phase III SHARP trial demonstrating that sorafenib improved median overall survival from 7.9 to 10.7 months versus placebo in advanced HCC, representing the first positive systemic therapy trial in this disease and securing regulatory approval that established sorafenib as the standard of care for over a decade.
BCLC Staging System
Co-created and repeatedly updated the Barcelona Clinic Liver Cancer (BCLC) staging system, an evidence-based algorithm linking tumor stage, liver function, and performance status to recommended treatment strategies; the system is endorsed by EASL, AASLD, and APASL and underpins nearly all modern HCC clinical trials.
HCC Molecular Subclassification
Defined genomic and transcriptomic molecular subclasses of HCC including the proliferative (S1/S2) and non-proliferative (S3) subtypes, identifying actionable drivers and immune correlates that guide biomarker-driven trial design and predict immunotherapy response.
Immunotherapy Combination Strategies in HCC
Contributed to the scientific framework and clinical trial leadership for immune checkpoint inhibitor combinations in HCC, including atezolizumab plus bevacizumab (IMbrave150) and tremelimumab plus durvalumab (HIMALAYA), reshaping first-line and second-line treatment standards.
Representative Works 代表性著作
Sorafenib in Advanced Hepatocellular Carcinoma
New England Journal of Medicine (2008)
SHARP trial establishing sorafenib as the first systemic therapy to improve overall survival in advanced HCC, with a hazard ratio of 0.69 versus placebo.
Hepatocellular carcinoma
Nature Reviews Disease Primers (2021)
Comprehensive primer covering HCC epidemiology, molecular pathogenesis, diagnosis, and treatment including emerging immunotherapy combinations, widely cited as a definitive reference.
Molecular therapies and precision medicine for hepatocellular carcinoma
Nature Reviews Clinical Oncology (2018)
Review defining the molecular landscape, actionable alterations, and rational combination strategies in HCC, including immune microenvironment subtypes predictive of checkpoint inhibitor response.
BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update
Journal of Hepatology (2022)
Definitive 2022 update of the Barcelona Clinic Liver Cancer staging and treatment algorithm incorporating immunotherapy approvals and refined patient stratification.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-04-06 | All information from publicly available academic sources
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