Evidence map›Paper›PMID 41394804›Full record

ReviewFrontiers in immunology2025

Current landscape of CAR-therapy for osteosarcoma and rhabdomyosarcoma.

Maria Stavrou, Tatiana Nicolaou, Maria Georgalli, Anastasia Constantinidou

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

Maria StavrouDepartment of Translational Research and Precision Medicine, Cyprus Cancer Research Institute (CCRI), Nicosia, Cyprus.
Tatiana NicolaouDepartment of Translational Research and Precision Medicine, Cyprus Cancer Research Institute (CCRI), Nicosia, Cyprus.
Maria GeorgalliDepartment of Translational Research and Precision Medicine, Cyprus Cancer Research Institute (CCRI), Nicosia, Cyprus.
Anastasia ConstantinidouDepartment of Translational Research and Precision Medicine, Cyprus Cancer Research Institute (CCRI), Nicosia, Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) and rhabdomyosarcoma (RMS) are the most prevalent pediatric sarcoma subtypes of the bones and soft tissues respectively. The lack in targeted treatment approaches alongside the generally dismal prognosis in the metastatic setting render the discovery of novel therapeutic modalities for these diseases a pressing need. Chimeric antigen receptor (CAR)-therapy has emerged as an innovative strategy for cancer management with marked success in the treatment of hematological malignancies. The specific approach employs genetic engineering to redirect the specificity of immune cells, primarily T cells, through the exogenous expression of fully synthetic receptors, eventually arming them with the capacity to recognize tumor associated antigens (TAA). CAR-based treatment for OS and RMS has been under investigation in pre-clinical studies over the past few years, while the first promising results from a clinical trial have recently been published. However, the so far limited efficacy of CAR-therapy in solid tumors due to various constraining factors, such as poor CAR-T cell trafficking to the tumor, minimal tumor infiltration and reduced

Indexed as

Bone NeoplasmsImmunotherapy, AdoptiveOsteosarcomaReceptors, Chimeric AntigenRhabdomyosarcomaAnimalsAntigens, NeoplasmHumansReceptors, Antigen, T-CellT-LymphocytesAntigens, NeoplasmReceptors, Antigen, T-CellReceptors, Chimeric Antigencancerchimeric antigen receptorosteosarcomarhabdomyosarcomatargeted therapy

Identifiers

PMID41394804
PMCPMC12695800

What OpenQuestion holds

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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.