Evidence map›Paper›PMID 36961206›Full record

ArticleCancer discovery2023

Programming CAR T Cell Tumor Recognition: Tuned Antigen Sensing and Logic Gating.

Mohamad Hamieh, Jorge Mansilla-Soto, Isabelle Rivière, Michel Sadelain

Abstract read
In one paragraph

Article in Cancer discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

106 citing papers in PubMed.

  1. Article
  2. Review
  3. Pediatric AML CAR T cell therapy.Molecular therapy. Oncology · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
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  11. Article
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  16. Article
  17. Review
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  20. Article

46 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

4 authors.

Mohamad HamiehCenter for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-2146-4755
Jorge Mansilla-SotoCenter for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-2889-1397
Isabelle RivièreCenter for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7363-3963
Michel SadelainCenter for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9031-8025

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The success of chimeric antigen receptor (CAR) T cells targeting B-cell malignancies propelled the field of synthetic immunology and raised hopes to treat solid tumors in a similar fashion. Antigen escape and the paucity of tumor-restricted CAR targets are recognized challenges to fulfilling this prospect. Recent advances in CAR T cell engineering extend the toolbox of chimeric receptors available to calibrate antigen sensitivity and combine receptors to create adapted tumor-sensing T cells. Emerging engineering strategies to lower the threshold for effective antigen recognition, when needed, and enable composite antigen recognition hold great promise for overcoming tumor heterogeneity and curbing off-tumor toxicities. SIGNIFICANCE: Improving the clinical efficacy of CAR T cell therapies will require engineering T cells that overcome heterogeneous and low-abundance target expression while minimizing reactivity to normal tissues. Recent advances in CAR design and logic gating are poised to extend the success of CAR T cell therapies beyond B-cell malignancies.

Indexed as

NeoplasmsT-LymphocytesAntigens, NeoplasmHumansImmunotherapy, AdoptiveReceptors, Antigen, T-CellTreatment OutcomeAntigens, NeoplasmReceptors, Antigen, T-Cell

Identifiers

PMID36961206
PMCPMC10068450

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.