Evidence map›Paper›PMID 32440095›Full record

SynthesisDrug design, development and therapy2020

Pexidartinib, a Novel Small Molecule CSF-1R Inhibitor in Use for Tenosynovial Giant Cell Tumor: A Systematic Review of Pre-Clinical and Clinical Development.

Brooke Benner, Logan Good, Dionisia Quiroga, Thomas E Schultz, Mahmoud Kassem, William E Carson, Mathew A Cherian, Sagar Sardesai, Robert Wesolowski

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Drug design, development and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
17.7field-weighted citation impact, top 1% 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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 176 citations in OpenAlex.

  1. Pooled it
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  12. LiposomalCancer science · 2025
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40 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 1 institution in 1 country.

Brooke Benner *Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Logan Good *Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0001-7310-5098
Dionisia QuirogaDivision of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0003-3388-7069
Thomas E SchultzDepartment of Pharmacy, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Mahmoud KassemDivision of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-4429-961X
William E CarsonDepartment of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Mathew A CherianDivision of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-0380-2012
Sagar SardesaiDivision of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-2688-0486
Robert WesolowskiDivision of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
The Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tenosynovial giant cell tumor (TGCT) is a rare benign tumor that involves the synovium, bursa, and tendon sheath, resulting in reduced mobility of the affected joint or limb. The current standard of care for TGCT is surgical resection. However, some patients have tumor recurrence, present with unresectable tumors, or have tumors that are in locations where resection could result in amputations or significant debility. Therefore, the development of systemic agents with activity against TGCT to expand treatment options is a highly unmet medical need. Pathologically, TGCT is characterized by the overexpression of colony-stimulating factor 1 (CSF-1), which leads to the recruitment of colony-stimulating factor-1 receptor (CSF-1R) expressing macrophages that make up the primary cell type within these giant cell tumors. The binding of CSF-1 and CSF-1R controls cell survival and proliferation of monocytes and the switch from a monocytic to macrophage phenotype contributing to the growth and inflammation within these tumors. Therefore, molecules that target CSF-1/CSF-1R have emerged as potential systemic agents for the treatment of TGCT. Given the role of macrophages in regulating tumorigenesis, CSF1/CSF1R-targeting agents have emerged as attractive therapeutic targets for solid tumors. Pexidartinib is an orally bioavailable and potent inhibitor of CSF-1R which is one of the most clinically used agents. In this review, we discuss the biology of TGCT and review the pre-clinical and clinical development of pexidartinib which ultimately led to the FDA approval of this agent for the treatment of TGCT as well as ongoing clinical studies utilizing pexidartinib in the setting of cancer.

Indexed as

AminopyridinesAntineoplastic AgentsClinical Trials as TopicDose-Response Relationship, DrugGiant Cell Tumor of Tendon SheathHumansMolecular StructurePyrrolesReceptor, Macrophage Colony-Stimulating FactorReceptors, Granulocyte-Macrophage Colony-Stimulating FactorStructure-Activity RelationshipAminopyridinesAntineoplastic AgentsCSF1R protein, humanpexidartinibPyrrolesReceptor, Macrophage Colony-Stimulating FactorReceptors, Granulocyte-Macrophage Colony-Stimulating Factorcolony-stimulating factor 1 receptorpexidartinibpigmented villonodular synovitistenosynovial giant cell tumors

Identifiers

PMID32440095
PMCPMC7210448
OpenAlexW3022057273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.