分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Single-cell transcriptomic mapping of patient-derived primary liver cancer organoids reveals molecular subtypes and guides precision drug targeting

Dai Shipeng, Wu Jian, Chai Yue, Li Zhouxiao, Xie Yuchen, Wang Hongyu, Liu Ziyuan, He Yanshu, Cao Hengsong, Tang Weiwei, Xu Jintao, Zhang Zongkang, Xia Yongxiang, Wang Xuehao, Liu Li, Xia Xinyi, Gao Y

Journal:CELLULAR ONCOLOGY

IF:5.6

DOI:10.1007/s13402-026-01190-w

PMID:

Published:2026-03-16

research field:肿瘤学分子生物学精准医学类器官技术药物研发转录组学癌症基因组学

Abstract

Background Current liver cancer research lacks reliable in vitro models that replicate tumor pathophysiology. This study establishes primary liver cancer (PLC) organoids from three major subtypes—hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and combined hepatocellular-cholangiocarcinoma (CHC)—to enable precise diagnostics and personalized therapies through comprehensive genomic profiling. Methods Organoid cultures were generated from 11 PLC patients (5 HCC, 3 ICC, 3 CHC). Whole exome sequencing (WES), RNA-seq, and single-cell RNA-seq (scRNA-seq) were performed to analyze molecular differences. Drug screening targeting subtype-specific pathways was conducted to validate sequencing findings. Results WES and RNA-seq confirmed that organoids retained parental tumor genetics and heterogeneity, distinct from paracancerous tissues. scRNA-seq revealed distinct cell populations in HCC, ICC, and CHC organoids. Lipid metabolism was enriched in HCC organoids; tumor migration pathways were upregulated in ICC organoids; and mitochondrial function was enhanced in CHC organoids. Rosuvastatin inhibited HCC growth by targeting lipid metabolism, while pemigatinib reduced ICC malignancy by suppressing epithelial-mesenchymal transition. Regorafenib impaired mitochondrial function in CHC organoids, slowing progression. Conclusions PLC-derived organoids serve as robust tools for biomarker discovery and drug screening. scRNA-seq elucidates inter- and intra-tumoral heterogeneity, offering insights for precision therapy in liver cancer. This model advances personalized treatment strategies for diverse PLC subtypes.

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