Evidence map›Paper›PMID 35877472›Full record

ArticleMolecular cancer therapeutics2022

FGFR4-Targeted Chimeric Antigen Receptors Combined with Anti-Myeloid Polypharmacy Effectively Treat Orthotopic Rhabdomyosarcoma.

Peter M Sullivan, Rajesh Kumar, Wei Li, Virginia Hoglund, Lingyan Wang, Yue Zhang, Megan Shi, Dusan Beak, Adam Cheuk, Michael C Jensen and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.1field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  5. CAR-T cell immunotherapy in rhabdomyosarcoma.Journal of translational medicine · 2026
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  13. Blocking MIF secretion enhances CAR T-cell efficacy against neuroblastoma.European journal of cancer (Oxford, England : 1990) · 2025
    Article
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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 1 country.

Peter M Sullivan *Seattle Children's Research Institute, Seattle, Washington.ORCID 0000-0002-5021-060X
Rajesh Kumar *Seattle Children's Research Institute, Seattle, Washington.ORCID 0000-0002-4551-7957
Wei LiUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-6960-7404
Virginia HoglundSeattle Children's Research Institute, Seattle, Washington.ORCID 0000-0003-1175-5006
Lingyan WangSeattle Children's Research Institute, Seattle, Washington.ORCID 0000-0002-3439-7005
Yue ZhangSeattle Children's Research Institute, Seattle, Washington.ORCID 0000-0002-3984-9760
Megan ShiUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-3233-1483
Dusan BeakUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-5356-6716
Adam CheukNCI, CCR, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0001-6327-1631
Michael C JensenSeattle Children's Research Institute, Seattle, Washington.ORCID 0000-0001-7477-3063
Javed KhanNCI, CCR, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-5858-0488
Dimiter S DimitrovUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-2258-1024
Rimas J OrentasSeattle Children's Research Institute, Seattle, Washington.ORCID 0000-0002-6310-3467
Seattle Children's Hospital · USUniversity of Pittsburgh · USNational Institutes of Health · USUniversity of Washington · US

Funding

FGFR4-CAR-based Immunotherapy of Fusion-Positive RhabdomyosarcomaR21CA241023 · NCI · SEATTLE CHILDREN'S HOSPITAL · PI ORENTAS, RIMAS J · 2019 to 2020
$440k
NCI NIH HHS R21 CA241023
6 · The paper itself

Abstract

Rhabdomyosarcoma (RMS) is the most common soft tissue cancer in children. Treatment outcomes, particularly for relapsed/refractory or metastatic disease, have not improved in decades. The current lack of novel therapies and low tumor mutational burden suggest that chimeric antigen receptor (CAR) T-cell therapy could be a promising approach to treating RMS. Previous work identified FGF receptor 4 (FGFR4, CD334) as being specifically upregulated in RMS, making it a candidate target for CAR T cells. We tested the feasibility of an FGFR4-targeted CAR for treating RMS using an NSG mouse with RH30 orthotopic (intramuscular) tumors. The first barrier we noted was that RMS tumors produce a collagen-rich stroma, replete with immunosuppressive myeloid cells, when T-cell therapy is initiated. This stromal response is not seen in tumor-only xenografts. When scFV-based binders were selected from phage display, CARs targeting FGFR4 were not effective until our screening approach was refined to identify binders to the membrane-proximal domain of FGFR4. Having improved the CAR, we devised a pharmacologic strategy to augment CAR T-cell activity by inhibiting the myeloid component of the T-cell-induced tumor stroma. The combined treatment of mice with anti-myeloid polypharmacy (targeting CSF1R, IDO1, iNOS, TGFbeta, PDL1, MIF, and myeloid misdifferentiation) allowed FGFR4 CAR T cells to successfully clear orthotopic RMS tumors, demonstrating that RMS tumors, even with very low copy-number targets, can be targeted by CAR T cells upon reversal of an immunosuppressive microenvironment.

Indexed as

Receptors, Chimeric AntigenRhabdomyosarcomaAnimalsCell Line, TumorHumansImmunotherapy, AdoptiveMicePolypharmacyReceptor, Fibroblast Growth Factor, Type 4Receptors, Antigen, T-CellTransforming Growth Factor betaTumor MicroenvironmentFGFR4 protein, humanReceptor, Fibroblast Growth Factor, Type 4Receptors, Antigen, T-CellReceptors, Chimeric AntigenTransforming Growth Factor beta

Identifiers

PMID35877472
PMCPMC9538595
OpenAlexW4287510356

What OpenQuestion holds

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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.