Evidence map›Paper›PMID 31992334›Full record

ArticleJournal of experimental & clinical cancer research : CR2020

Hedgehog signaling promotes sorafenib resistance in hepatocellular carcinoma patient-derived organoids.

Siqi Wang, Yang Wang, Xiaodong Xun, Changkun Zhang, Xiao Xiang, Qian Cheng, Shihua Hu, Zhao Li, Jiye Zhu

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

67 citing papers in PubMed, 108 citations in OpenAlex.

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  17. State-of-the-Art Liver Cancer Organoids: Modeling Cancer Stem Cell Heterogeneity for Personalized Treatment.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025
    Review
  18. Hepatocellular carcinoma: signaling pathways and therapeutic advances.Signal transduction and targeted therapy · 2025
    Review
  19. Article
  20. Review

7 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Siqi WangDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Yang WangDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Xiaodong XunDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Changkun ZhangDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Xiao XiangDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Qian ChengDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Shihua HuDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China.
Zhao LiDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China. goodlizhao@sina.com.
Jiye ZhuDepartment of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, China. liver@bjmu.edu.cn.
Peking University · CNPeking University People's Hospital · CN

Funding

National Natural Science Foundation of China 81570590National Natural Science Foundation of China 81872508UMHS-PUHSC Joint Institute for Translational and Clinical Research (JZ,TW) BMU2017JI006
6 · The paper itself

Abstract

backgroundThe mechanism underlying sorafenib resistance in hepatocellular carcinoma (HCC) remains unclear. Accumulating evidence suggests that tumor-initiating cells (TICs) are a pivotal driving force. Both CD44 and Hedgehog signaling play crucial roles in TIC properties in HCC. In this study, we explored the roles of CD44 and Hedgehog signaling in sorafenib resistance and evaluated the therapeutic effect of cotreatment with sorafenib and Hedgehog signaling inhibitors in HCC patient-derived organoid (PDO) models to improve treatment efficacy.

methodsWe collected HCC specimens to establish PDO models. Cell viability and malignant transformation properties were investigated after treatment with different TIC-related inhibitors alone or in combination with sorafenib to evaluate the therapeutic effect in PDOs and cell lines by in vitro and in vivo experiments. Expression levels of Hedgehog signaling proteins and CD44 were monitored to reveal potential relationships.

resultsWe demonstrated that our HCC PDO models strongly maintained the histological features of the corresponding tumors and responded to drug treatment. Furthermore, CD44-positive HCC PDOs were obviously resistant to sorafenib, and sorafenib increased CD44 levels. A drug screen showed that compared with Notch, Hippo and Wnt signaling inhibitors, a Hedgehog signaling inhibitor (GANT61) potently suppressed HCC PDO cell viability. In addition, there was a highly synergistic effect in vitro and in vivo on the suppression of cell viability and malignant properties when sorafenib and GANT61 were added to CD44-positive HCC PDOs and cell lines, respectively. Furthermore, the upregulation of CD44 and Hedgehog signaling induced by sorafenib was reversed by GANT61.

conclusionsGANT61 significantly suppressed Hedgehog signaling to reverse sorafenib resistance in CD44-positive HCC. The combination of sorafenib and Hedgehog signaling inhibitors might be effective in HCC patients with high CD44 levels as a personalized-medicine approach.

Indexed as

AnimalsAntineoplastic AgentsCarcinoma, HepatocellularCell Line, TumorDisease Models, AnimalDrug Resistance, NeoplasmHedgehog ProteinsHumansLiver NeoplasmsMiceOrganoidsSignal TransductionSorafenibAntineoplastic AgentsHedgehog ProteinsSorafenibCD44Hedgehog signalingHepatocellular carcinomaPatient-derived organoids (PDOs)

Identifiers

PMID31992334
PMCPMC6986013
OpenAlexW3004008945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.