Evidence map›Paper›PMID 39317919›Full record

ReviewCancer metastasis reviews2024

CAR T-cells for pediatric solid tumors: where to go from here?

Tina Trautmann, Natalia Yakobian, Rosa Nguyen

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

3 authors.

Tina TrautmannPediatric Oncology Branch, NCI, NIH, NCI, 10 Center Drive, 1W-5832, Bethesda, MD, 20892, USA.
Natalia YakobianPediatric Oncology Branch, NCI, NIH, NCI, 10 Center Drive, 1W-5832, Bethesda, MD, 20892, USA.
Rosa NguyenPediatric Oncology Branch, NCI, NIH, NCI, 10 Center Drive, 1W-5832, Bethesda, MD, 20892, USA. hongharosa.nguyen@nih.gov.

Funding

Development of new therapies for neuroblastomaZIABC012066 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NGUYEN, HONG HA ROSA · 2022 to 2025
$5.6M
CCR NIH HHS ZIA BC 012066Intramural NIH HHS ZIA BC012066
6 · The paper itself

Abstract

Despite the great success that chimeric antigen receptor (CAR) T-cells have had in patients with B-cell malignancies and multiple myeloma, they continue to have limited efficacy against most solid tumors. Especially in the pediatric population, pre- and post-treatment biopsies are rarely performed due to ethical reasons, and thus, our understanding is still very limited regarding the mechanisms in the tumor microenvironment by which tumor cells exclude effectors and attract immune-suppressive cells. Nevertheless, based on the principles that are known, current T-cell engineering has leveraged some of these processes and created more potent CAR T-cells. The recent discovery of new oncofetal antigens and progress made in CAR design have expanded the potential pool of candidate antigens for therapeutic development. The most promising approaches to enhance CAR T-cells are novel CAR gating strategies, creative ways of cytokine delivery to the TME without enhancing systemic toxicity, and hijacking the chemokine axis of tumors for migratory purposes. With these new modifications, the next step in the era of CAR T-cell development will be the clinical validation of these promising preclinical findings.

Indexed as

Immunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenT-LymphocytesAnimalsChildHumansReceptors, Antigen, T-CellTumor MicroenvironmentReceptors, Antigen, T-CellReceptors, Chimeric AntigenAdoptive T-cell therapyCARPediatric oncologySolid tumors

Identifiers

PMID39317919
PMCPMC11554711

What OpenQuestion holds

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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.