Identifying sorafenib benefit among patients with hepatocellular carcinoma: A transcriptomic and genomic approach

This study identifies the KUSS50, a novel 50-gene signature, as a predictive biomarker for identifying patients with hepatocellular carcinoma (HCC) who are likely to benefit from sorafenib treatment. The findings have significant implications for the clinical management of HCC, particularly in optimizing treatment strategies and enhancing patient outcomes. The ability to predict the benefit of sorafenib treatment with high specificity allows for more personalized therapy, reducing unnecessary exposure to ineffective treatments. This approach can be directly applied by clinicians to improve treatment selection, ultimately leading to better patient outcomes. Additionally, understanding the molecular mechanisms underlying the KUSS50-defined subtypes may pave the way for new therapeutic strategies and interventions aimed at improving the efficacy of sorafenib and other treatments in patients with HCC.

Authors

Institutions

Publication Details

Journal
JHEP Reports
Published
2026-01-27
DOI
https://doi.org/10.1016/j.jhepr.2026.101742
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying sorafenib benefit among patients with hepatocellular carcinoma: A transcriptomic and genomic approach

Yang Jae Yoo, Yun Seong Jeong, Yeon Seok Seo, Hayeon Kim et al.
JHEP Reports
Hepatocellular Carcinoma Treatment and Prognosis
article

Identifying sorafenib benefit among patients with hepatocellular carcinoma: A transcriptomic and genomic approach

Yang Jae Yoo, Yun Seong Jeong, Yeon Seok Seo, Hayeon Kim, Eunho Choi, Youngwoo Lee, Young Kul Jung, Young-Sun Lee, Sang-Hee Kang, Yitao Tang, Bowha Sohn, Kyung Suk Yang, Sun Young Yim, Jong Eun Yeon, Hyung Joon Yim, Ji Hoon Kim, Hyewon Park, Han Liang, Tae Hyung Kim, Ju-Seog Lee, Seong Hee Kang
article en

Abstract

This study identifies the KUSS50, a novel 50-gene signature, as a predictive biomarker for identifying patients with hepatocellular carcinoma (HCC) who are likely to benefit from sorafenib treatment. The findings have significant implications for the clinical management of HCC, particularly in optimizing treatment strategies and enhancing patient outcomes. The ability to predict the benefit of sorafenib treatment with high specificity allows for more personalized therapy, reducing unnecessary exposure to ineffective treatments. This approach can be directly applied by clinicians to improve treatment selection, ultimately leading to better patient outcomes. Additionally, understanding the molecular mechanisms underlying the KUSS50-defined subtypes may pave the way for new therapeutic strategies and interventions aimed at improving the efficacy of sorafenib and other treatments in patients with HCC.

JHEP ReportsVol. 8(4)
The University of Texas MD Anderson Cancer Center (US), Korea University (KR), Hallym University Sacred Heart Hospital (KR), Korea University (JP)
Duncan Family Institute for Cancer Prevention and Risk Assessment, Ministry of Trade, Industry and Energy, Korean Association for the Study of the Liver, Korean Liver Foundation, National Institutes of Health, University of Texas MD Anderson Cancer Center, National Cancer Institute
Zero hunger
Openalex Percentile: Top 74%
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.