Evidence map›Paper›PMID 28284560›Full record

ArticleGastroenterology2017

Computational Discovery of Niclosamide Ethanolamine, a Repurposed Drug Candidate That Reduces Growth of Hepatocellular Carcinoma Cells In Vitro and in Mice by Inhibiting Cell Division Cycle 37 Signaling.

Bin Chen, Wei Wei, Li Ma, Bin Yang, Ryan M Gill, Mei-Sze Chua, Atul J Butte, Samuel So

Abstract read
In one paragraph

Article in Gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

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6 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

8 authors at 3 institutions in 2 countries.

Bin ChenInstitute for Computational Health Sciences and Department of Pediatrics, University of California, San Francisco, California.
Wei WeiAsian Liver Center and Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, California.
Li MaAsian Liver Center and Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, California.
Bin YangDepartment of Interventional Radiology, Beijing 302 Hospital, Beijing, China.
Ryan M GillDepartment of Pathology, University of California, San Francisco, California.
Mei-Sze ChuaAsian Liver Center and Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, California. Electronic address: mchua@stanford.edu.
Atul J ButteInstitute for Computational Health Sciences and Department of Pediatrics, University of California, San Francisco, California. Electronic address: atul.butte@ucsf.edu.
Samuel SoAsian Liver Center and Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, California.
Stanford University · USUniversity of California, San Francisco · US302 Military Hospital of China · CN

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford and Northrop Grumman proposal for the Oncology Models ForumU24CA195858 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2015 to 2019
$4.7M
Repositioning drugs for the treatment of small cell lung cancerR01GM079719 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2006 to 2015
$4.4M
NCATS NIH HHS UL1 TR001085NCI NIH HHS U24 CA195858NIGMS NIH HHS R01 GM079719
6 · The paper itself

Abstract

BACKGROUND &

aimsDrug repositioning offers a shorter approval process than new drug development. We therefore searched large public datasets of drug-induced gene expression signatures to identify agents that might be effective against hepatocellular carcinoma (HCC).

methodsWe searched public databases of messenger RNA expression patterns reported from HCC specimens from patients, HCC cell lines, and cells exposed to various drugs. We identified drugs that might specifically increase expression of genes that are down-regulated in HCCs and reduce expression of genes up-regulated in HCCs using a nonparametric, rank-based pattern-matching strategy based on the Kolmogorov-Smirnov statistic. We evaluated the anti-tumor activity of niclosamide and its ethanolamine salt (NEN) in HCC cell lines (HepG2, Huh7, Hep3B, Hep40, and PLC/PRF/5), primary human hepatocytes, and 2 mouse models of HCC. In one model of HCC, liver tumor development was induced by hydrodynamic delivery of a sleeping beauty transposon expressing an activated form of Ras (v12) and truncated β-catenin (N90). In another mouse model, patient-derived xenografts were established by implanting HCC cells from patients into livers of immunocompromised mice. Tumor growth was monitored by bioluminescence imaging. Tumor-bearing mice were fed a regular chow diet or a chow diet containing niclosamide or NEN. In a separate experiment using patient-derived xenografts, tumor-bearing mice were given sorafenib (the standard of care for patients with advanced HCC), NEN, or niclosamide alone; a combination of sorafenib and NEN; or a combination sorafenib and niclosamide in their drinking water, or regular water (control), and tumor growth was monitored.

resultsBased on gene expression signatures, we identified 3 anthelmintics that significantly altered the expression of genes that are up- or down-regulated in HCCs. Niclosamide and NEN specifically reduced the viability of HCC cells: the agents were at least 7-fold more cytotoxic to HCCs than primary hepatocytes. Oral administration of NEN to mice significantly slowed growth of genetically induced liver tumors and patient-derived xenografts, whereas niclosamide did not, coinciding with the observed greater bioavailability of NEN compared with niclosamide. The combination of NEN and sorafenib was more effective at slowing growth of patient-derived xenografts than either agent alone. In HepG2 cells and in patient-derived xenografts, administration of niclosamide or NEN increased expression of 20 genes down-regulated in HCC and reduced expression of 29 genes up-regulated in the 274-gene HCC signature. Administration of NEN to mice with patient-derived xenografts reduced expression of proteins in the Wnt-β-catenin, signal transducer and activator of transcription 3, AKT-mechanistic target of rapamycin, epidermal growth factor receptor-Ras-Raf signaling pathways. Using immunoprecipitation assays, we found NEN to bind cell division cycle 37 protein and disrupt its interaction with heat shock protein 90.

conclusionsIn a bioinformatics search for agents that alter the HCC-specific gene expression pattern, we identified the anthelmintic niclosamide as a potential anti-tumor agent. Its ethanolamine salt, with greater bioavailability, was more effective than niclosamide at slowing the growth of genetically induced liver tumors and patient-derived xenografts in mice. Both agents disrupted interaction between cell division cycle 37 and heat shock protein 90 in HCC cells, with concomitant inhibition of their downstream signaling pathways. NEN might be effective for treatment of patients with HCC.

Indexed as

Computer SimulationDrug RepositioningAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularCell Cycle ProteinsCell ProliferationChaperoninsComputational BiologyDatabases, GeneticDose-Response Relationship, DrugDrug DiscoveryEthanolamineFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticAntineoplastic AgentsCDC37 protein, humanCdc37 protein, mouseCell Cycle ProteinsChaperoninsEthanolamineHSP90 Heat-Shock ProteinsMolecular ChaperonesNiacinamideNiclosamidePhenylurea CompoundsSorafenibBig DataLiver CancerMitochondrial UncouplerTreatment

Identifiers

PMID28284560
PMCPMC5447464
OpenAlexW2591862054

What OpenQuestion holds

Textmetadata
LicenceTDM
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.