Evidence map›Paper›PMID 41495759›Full record

ArticleJournal of experimental & clinical cancer research : CR2026

Psammaplysene D overcomes sorafenib resistance in liver cancer by targeting FGFR4/CYP26A1-retinoic acid axis to drive ferroptosis.

Ting Yang, Yanlu Han, Yuting Wang, Ruyu Li, Xiaonan Zhang, Xinxin Zhang, Xiaohan Xu, Jing Xu, Xiaoyu Li, Chunhua Lin and 2 more

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ting YangKey Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Yanlu HanKey Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Yuting WangKey Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Ruyu LiKey Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Xiaonan ZhangMarine Biomedical Research Institute of Qingdao, Qingdao, 266071, China.
Xinxin ZhangMarine Biomedical Research Institute of Qingdao, Qingdao, 266071, China.
Xiaohan XuKey Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Jing XuDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xiaoyu LiDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China. lixiaoyu05@163.com.
Chunhua LinDepartment of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, 264000, China. chunhua.Lin@qdu.edu.cn.
Wen WangQilu Hospital of Shandong University, Qingdao, Shandong, 266000, China. ww028296@qlyyqd.com.
Jinbo YangKey Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China. yangjb@ouc.edu.cn.

Funding

Major Scientific and Technological Innovation Project of Shandong Province 2020CXGC010503National Natural Science Foundation of China 32470764National Natural Science Foundation of China for Young Scholar Project 82404586Natural Science Foundation of Qingdao Municipality Project 2444zrjj101jch
6 · The paper itself

Abstract

backgroundOvercoming sorafenib resistance remains a major challenge in liver cancer treatment. This study evaluates the novel compound Psammaplysene D, alone or combined with sorafenib, against liver cancer, focusing on overcoming resistance.

methodsThe efficacy of Psammaplysene D, alone or with sorafenib, was assessed using liver cancer cell lines and xenograft mouse models, including sorafenib-resistant variants. The direct binding interaction between Psammaplysene D and FGFR4 was confirmed through molecular docking and Cellular Thermal Shift Assay (CETSA). Transcriptomic profiling (RNA-seq) identified key differentially expressed genes. Ferroptosis induction was evaluated using key markers, and functional roles were validated using genetic and pharmacological approaches.

resultsPsammaplysene D inhibited liver cancer growth in vitro and in vivo, alone or synergistically with sorafenib, and overcame sorafenib resistance in both models. Mechanistic investigations revealed that Psammaplysene D directly targets FGFR4, inducing ferroptosis. In sorafenib-resistant cells, Psammaplysene D downregulates CYP26A1 expression, elevating retinoic acid (RA) levels. FGFR4 inhibition triggered ferroptosis and reduced CYP26A1 expression, while accumulated RA drove ferroptosis in resistant cells.

conclusionsOverall, Psammaplysene D is a potent therapeutic agent for liver cancer, effective alone or combined with sorafenib, and overcomes resistance through direct targeting of FGFR4, initiating a cascade of CYP26A1 downregulation, RA accumulation, and ferroptosis induction-defining a novel FGFR4/CYP26A1/RA axis regulating ferroptosis in resistant liver cancer.

Indexed as

Cytochrome P-450 Enzyme SystemDrug Resistance, NeoplasmFerroptosisLiver NeoplasmsReceptor, Fibroblast Growth Factor, Type 4SorafenibTretinoinAnimalsCell Line, TumorHumansMiceXenograft Model Antitumor AssaysCytochrome P-450 Enzyme SystemFGFR4 protein, humanReceptor, Fibroblast Growth Factor, Type 4SorafenibTretinoinCYP26A1FerroptosisFGFR4Liver cancerPsammaplysene DRetinoic acidSorafenib resistance

Identifiers

PMID41495759
PMCPMC12888168

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.