Evidence map›Paper›PMID 42101525›Full record

ArticleDiscover oncology2026

Radiogenomics deciphers tumor heterogeneity in hepatocellular carcinoma and combined hepatocellular-cholangiocarcinoma.

Yi Wang, Shichen Miao, Xiao Wang, Weiren Liu, Yinghong Shi

Abstract read
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Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yi Wang *Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Shichen Miao *Department of Breast Surgery, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200032, China.
Xiao Wang *Department of Health Management, School of Public Health, Nantong University, 9 Seyuan Road, Nantong, 226019, Jiangsu, China.
Weiren LiuDepartment of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yinghong ShiDepartment of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. shi.yinghong@zs-hospital.sh.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCombined hepatocellular cholangiocarcinoma (cHCC-CCA) is a highly heterogeneous cancer with limited knowledge of molecular features and prognosis. To compare the molecular features of cHCC-CCA with different subtypes of hepatocellular carcinoma (HCC) and to investigate the biological meanings of prognostic radiomic features in cHCC-CCA.

methodsWe performed an integrative analysis to investigate the heterogeneity of cHCC-CCA and HCC by combining transcriptomic and radiomic approaches. RNA sequencing revealed distinct transcriptomic profiles between cHCC-CCA and HCC. For radiomic analysis, an eight-feature radiomic signature was constructed using preoperative contrast-enhanced MRI to predict overall survival in cHCC-CCA, and its prognostic significance was validated in an external dataset. Furthermore, weighted gene co-expression network analysis was employed to correlate radiomic features with underlying biological pathways.

resultsLR-M subtype of cHCC-CCA exhibited more aggressive characteristics and immunosuppressive tumor microenvironment compared with LR-4/5 subtype, HCC with rim arterial-phase hyperenhancement (rim-APHE) and HCC without rim-APHE. The radiomic signature was correlated with overall survival (hazard ratio [HR], 5.47; 95% CI:2.08, 7.23, p = 0.006) in the cHCC-CCA validation cohort. Three types of prognostic radiomic features were correlated with distinct pathways: fatty acid metabolism, signaling pathways regulating pluripotency of stem cells and T cell receptor signaling pathway, respectively. Original_Glszm_GrayLevelNonUniformity might reflect the upregulation of fatty acid metabolism and immune suppression of cHCC-CCA.

conclusionsWe illustrated the heterogeneity of subtypes of HCC and cHCC-CCA, which provides insights into the differentiation of primary liver cancer. Correlation of prognostic radiomic features with transcriptome profiles in cHCC-CCA enables noninvasive evaluation of tumor microenvironment.

Indexed as

Combined hepatocellular cholangiocarcinomaHepatocellular carcinomaRadiomicTumor microenvironmentWeighted gene co-expression network analysis

Identifiers

PMID42101525
PMCPMC13319316

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