Abstract 4017: Integrated multi-omics approaches in resectable hepatocellular carcinoma with microvascular invasion for revealing therapeutic target

Abstract Introduction: Hepatocellular carcinoma(HCC) with microvascular invasion(MVI) has the traits of aggressive and rapid proliferation rate and penetration along blood vessels. Therefore, MVI is one of the clinical features of liver cancer with a high risk of recurrence and a poor prognosis. There is a need to explore biomarkers and customized drugs for early diagnosis of MVI. Methods: Using gene expression of resected human HCC samples (Discovery cohort, n=240), we identified a transcriptomic signature predictive of MVI. Subsequently, we performed integrated analyses using data from the cancer dependency map (DepMap) project, including multi-omics based cancer-specific molecular characterization, compound-based drug sensitivity screening, and integrative in-silico prediction approaches to investigate determinants of MVI. The resulting MVI-predictive transcriptomic signature was validated across multiple independent cohorts (TCGA-LIHC, n=373; KOREA, n=188; TOKYO, n=183; MODENA, n=78; ZHONGSHAN, n=159). Results: The MVI 1,028 genes signature was identified in the discovery cohort, and its predictive performance was robustly validated in the independent validation cohort (AUC = 0.889, p < 0.01). Multi-omics analyses revealed aggressive tumor biology associated with the MVI signature and highlighted specific biomarkers. Conclusions: Integrative multi-omics profiling of resectable HCC with MVI reveals biomarkers for the diagnosis of MVI and therapeutic target. This target will increase the therapeutic effect and play a key role in the precision medicine. Citation Format: Jisun So, Incheon Kang, Woo Young Kwon, Sung Hwan Lee. Integrated multi-omics approaches in resectable hepatocellular carcinoma with microvascular invasion for revealing therapeutic target [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4017.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4017
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4017: Integrated multi-omics approaches in resectable hepatocellular carcinoma with microvascular invasion for revealing therapeutic target

Incheon Kang, Woo Young Kwon, Sung Hwan Lee, Jisun So
Cancer Research
Bioinformatics and Genomic Networks
article

Abstract 4017: Integrated multi-omics approaches in resectable hepatocellular carcinoma with microvascular invasion for revealing therapeutic target

Incheon Kang, Woo Young Kwon, Sung Hwan Lee, Jisun So
article en

Abstract

Abstract Introduction: Hepatocellular carcinoma(HCC) with microvascular invasion(MVI) has the traits of aggressive and rapid proliferation rate and penetration along blood vessels. Therefore, MVI is one of the clinical features of liver cancer with a high risk of recurrence and a poor prognosis. There is a need to explore biomarkers and customized drugs for early diagnosis of MVI. Methods: Using gene expression of resected human HCC samples (Discovery cohort, n=240), we identified a transcriptomic signature predictive of MVI. Subsequently, we performed integrated analyses using data from the cancer dependency map (DepMap) project, including multi-omics based cancer-specific molecular characterization, compound-based drug sensitivity screening, and integrative in-silico prediction approaches to investigate determinants of MVI. The resulting MVI-predictive transcriptomic signature was validated across multiple independent cohorts (TCGA-LIHC, n=373; KOREA, n=188; TOKYO, n=183; MODENA, n=78; ZHONGSHAN, n=159). Results: The MVI 1,028 genes signature was identified in the discovery cohort, and its predictive performance was robustly validated in the independent validation cohort (AUC = 0.889, p < 0.01). Multi-omics analyses revealed aggressive tumor biology associated with the MVI signature and highlighted specific biomarkers. Conclusions: Integrative multi-omics profiling of resectable HCC with MVI reveals biomarkers for the diagnosis of MVI and therapeutic target. This target will increase the therapeutic effect and play a key role in the precision medicine. Citation Format: Jisun So, Incheon Kang, Woo Young Kwon, Sung Hwan Lee. Integrated multi-omics approaches in resectable hepatocellular carcinoma with microvascular invasion for revealing therapeutic target [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4017.

Cancer ResearchVol. 86(7_Supplement)
World Precision Instruments (United States) (US)
Good health and well-being
Openalex Percentile: Top 29%
Bioinformatics and Genomic Networks
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.