Evidence map›Paper›PMID 36077733›Full record

ArticleCancers2022

Targeting the Unwindosome by Mebendazole Is a Vulnerability of Chemoresistant Hepatoblastoma.

Qian Li, Salih Demir, Álvaro Del Río-Álvarez, Rebecca Maxwell, Alexandra Wagner, Juan Carrillo-Reixach, Carolina Armengol, Christian Vokuhl, Beate Häberle, Dietrich von Schweinitz and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

13 authors at 4 institutions in 2 countries.

Qian LiDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Salih DemirDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Álvaro Del Río-ÁlvarezChildhood Liver Oncology Group, Health Sciences Research Institute Germans Trias i Pujol IGTP, 08916 Badalona, Spain.
Rebecca MaxwellDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Alexandra WagnerDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Juan Carrillo-ReixachChildhood Liver Oncology Group, Health Sciences Research Institute Germans Trias i Pujol IGTP, 08916 Badalona, Spain.
Carolina ArmengolChildhood Liver Oncology Group, Health Sciences Research Institute Germans Trias i Pujol IGTP, 08916 Badalona, Spain.ORCID 0000-0002-4690-4027
Christian VokuhlInstitute of Pathology, University Hospital Bonn, 53127 Bonn, Germany.
Beate HäberleDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Dietrich von SchweinitzDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Irene SchmidDepartment of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.
Stefano CairoXenTech, 91000 Evry, France.
Roland KapplerDepartment of Pediatric Surgery, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, 80337 Munich, Germany.ORCID 0000-0002-8581-2803
Ludwig-Maximilians-Universität München · DECentre for Biomedical Network Research on Rare Diseases · ESInstitut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESUniversity Hospital Bonn · DE

Funding

Bettina Bräu foundation Munich BiomarkerChinese Scholarship Council 201908080285Deutsche Kinderkrebsstiftung LTREuropean Union's Horizon 2020 research and innovation programme 668596 (ChiLTERN)European Union's Horizon 2020 research and innovation programme 826121 (iPC)Gänseblümchen association Voerde Hepatoblastoma
6 · The paper itself

Abstract

Resistance to conventional chemotherapy remains a huge challenge in the clinical management of hepatoblastoma, the most common liver tumor in childhood. By integrating the gene expression data of hepatoblastoma patients into the perturbation prediction tool Connectivity Map, we identified the clinical widely used anthelmintic mebendazole as a drug to circumvent chemoresistance in permanent and patient-derived xenograft cell lines that are resistant to cisplatin, the therapeutic backbone of hepatoblastoma treatment. Viability assays clearly indicated a potent reduction of tumor cell growth upon mebendazole treatment in a dose-dependent manner. The combination of mebendazole and cisplatin revealed a strong synergistic effect, which was comparable to the one seen with cisplatin and doxorubicin, the current treatment for high-risk hepatoblastoma patients. Moreover, mebendazole treatment resulted in reduced colony and tumor spheroid formation capabilities, cell cycle arrest, and induction of apoptosis of hepatoblastoma cells. Mechanistically, mebendazole causes blockage of microtubule formation and transcriptional downregulation of genes encoding the unwindosome, which are highly expressed in chemoresistant tumors. Most importantly, mebendazole significantly reduced tumor growth in a subcutaneous xenograft transplantation mouse model without side effects. In conclusion, our results strongly support the clinical use of mebendazole in the treatment of chemoresistant hepatoblastoma and highlight the potential theranostic value of unwindosome-associated genes.

Indexed as

chemoresistanceconnectivity mapgene expressionhepatoblastomamebendazoleunwindosome

Identifiers

PMID36077733
PMCPMC9454988
OpenAlexW4293776459

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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.