Deciphering Lipid Metabolic Landscape of Sorafenib-Treated Hepatocellular Carcinoma by Mass Spectrometry Imaging and Transcriptomics

Although sorafenib (SOR) is effective for advanced hepatocellular carcinoma (HCC), significant metabolic heterogeneity limits its therapeutic effect. In this study, we employed high-resolution matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) to profile the spatial lipidomic alterations in 3D HepG2 spheroids following SOR treatment. Interestingly, sphingophospholipid and glycerophospholipid metabolism played crucial roles. In an orthotopic HCC mouse model, immunohistochemical and immunofluorescence staining confirmed that SOR induced immunological and inflammatory changes. Moreover, transcriptomic and Q-PCR analyses showed increased expression of Stat1, Zbp1, Parp14, Irf1, and Tifa along with decreased Eif4e2 in the SOR treatment group compared to the tumor control group. Bio-layer interferometry and molecular docking data also indicated that ZBP1 possessed favorable binding affinities with SOR. Overall, our findings demonstrated that SOR dramatically disrupted sphingolipid metabolism in tumor cell spheroids and, in an orthotopic model, activated the NOD-like receptor signaling pathway, accompanied by altered secretion of inflammatory factors and macrophage polarization. These results suggest that SOR exerts dual effects on tumor cell lipid metabolism and the tumor immune microenvironment. These findings provide a conceptual basis for future exploration of lipid-modulating therapeutic strategies in HCC.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2026-05-02
DOI
https://doi.org/10.3390/biom16050675
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Deciphering Lipid Metabolic Landscape of Sorafenib-Treated Hepatocellular Carcinoma by Mass Spectrometry Imaging and Transcriptomics

D C Li, Zhipeng Yan, Luheng Sai, Yuanyuan Tuo et al.
Biomolecules
Cancer, Lipids, and Metabolism
article

Deciphering Lipid Metabolic Landscape of Sorafenib-Treated Hepatocellular Carcinoma by Mass Spectrometry Imaging and Transcriptomics

D C Li, Zhipeng Yan, Luheng Sai, Yuanyuan Tuo, X. Xu, Fujuan Peng, Qin Yang, Huifang Zhao, Ruiping Zhang
article en

Abstract

Although sorafenib (SOR) is effective for advanced hepatocellular carcinoma (HCC), significant metabolic heterogeneity limits its therapeutic effect. In this study, we employed high-resolution matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) to profile the spatial lipidomic alterations in 3D HepG2 spheroids following SOR treatment. Interestingly, sphingophospholipid and glycerophospholipid metabolism played crucial roles. In an orthotopic HCC mouse model, immunohistochemical and immunofluorescence staining confirmed that SOR induced immunological and inflammatory changes. Moreover, transcriptomic and Q-PCR analyses showed increased expression of Stat1, Zbp1, Parp14, Irf1, and Tifa along with decreased Eif4e2 in the SOR treatment group compared to the tumor control group. Bio-layer interferometry and molecular docking data also indicated that ZBP1 possessed favorable binding affinities with SOR. Overall, our findings demonstrated that SOR dramatically disrupted sphingolipid metabolism in tumor cell spheroids and, in an orthotopic model, activated the NOD-like receptor signaling pathway, accompanied by altered secretion of inflammatory factors and macrophage polarization. These results suggest that SOR exerts dual effects on tumor cell lipid metabolism and the tumor immune microenvironment. These findings provide a conceptual basis for future exploration of lipid-modulating therapeutic strategies in HCC.

BiomoleculesVol. 16(5)
Shanxi Medical University (CN), First Hospital of Shanxi Medical University (CN), Second Hospital of Shanxi Medical University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology, Israel, ShanXi Science and Technology Department, Shanxi Provincial Education Department
Good health and well-being
Openalex Percentile: Top 10%
Cancer, Lipids, and Metabolism
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.