Evidence map›Paper›PMID 38499572›Full record

ArticleNPJ systems biology and applications2024

Making drugs from T cells: The quantitative pharmacology of engineered T cell therapeutics.

Daniel C Kirouac, Cole Zmurchok, Denise Morris

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
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  7. Review
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  10. Frontiers in immunology · 2026
    Review
  11. Review
  12. Cross-Disciplinary Mechanistic Insights in Molecular Medicine.Current issues in molecular biology · 2025
    Article
  13. Small-molecule control of CAR T cells.Nature reviews. Chemistry · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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.

Daniel C KirouacNotch Therapeutics, Vancouver, BC, Canada. daniel.kirouac@ubc.ca.ORCID http://orcid.org/0000-0002-9601-1913
Cole ZmurchokNotch Therapeutics, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-2368-5658
Denise MorrisEmerald City Pharma Consulting, Blaine, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineered T cells have emerged as highly effective treatments for hematological cancers. Hundreds of clinical programs are underway in efforts to expand the efficacy, safety, and applications of this immuno-therapeutic modality. A primary challenge in developing these "living drugs" is the complexity of their pharmacology, as the drug product proliferates, differentiates, traffics between tissues, and evolves through interactions with patient immune systems. Using publicly available clinical data from Chimeric Antigen Receptor (CAR) T cells, we demonstrate how mathematical models can be used to quantify the relationships between product characteristics, patient physiology, pharmacokinetics and clinical outcomes. As scientists work to develop next-generation cell therapy products, mathematical models will be integral for contextualizing data and facilitating the translation of product designs to clinical strategy.

Indexed as

Receptors, Antigen, T-CellT-LymphocytesHumansImmunotherapy, AdoptiveReceptors, Antigen, T-Cell

Identifiers

PMID38499572
PMCPMC10948391

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.