Evidence map›Paper›PMID 37200859›Full record

ArticleMolecular therapy. Nucleic acids2023

Novel Fas-TNFR chimeras that prevent Fas ligand-mediated kill and signal synergistically to enhance CAR T cell efficacy.

Callum McKenzie, Mohamed El-Kholy, Farhaan Parekh, Mathew Robson, Katarina Lamb, Christopher Allen, James Sillibourne, Shaun Cordoba, Simon Thomas, Martin Pule

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Ablation of FAS confers allogeneic CD3Nature biomedical engineering · 2024
    Article
  8. Article
  9. 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

10 authors at 1 institution in 1 country.

Callum McKenzieAutolus Therapeutics, London W12 7FP, UK.
Mohamed El-KholyAutolus Therapeutics, London W12 7FP, UK.
Farhaan ParekhAutolus Therapeutics, London W12 7FP, UK.
Mathew RobsonAutolus Therapeutics, London W12 7FP, UK.
Katarina LambAutolus Therapeutics, London W12 7FP, UK.
Christopher AllenAutolus Therapeutics, London W12 7FP, UK.
James SillibourneAutolus Therapeutics, London W12 7FP, UK.
Shaun CordobaAutolus Therapeutics, London W12 7FP, UK.
Simon ThomasAutolus Therapeutics, London W12 7FP, UK.
Martin PuleAutolus Therapeutics, London W12 7FP, UK.
Autolus (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hostile tumor microenvironment limits the efficacy of adoptive cell therapies. Activation of the Fas death receptor initiates apoptosis and disrupting these receptors could be key to increasing CAR T cell efficacy. We screened a library of Fas-TNFR proteins identifying several novel chimeras that not only prevented Fas ligand-mediated kill, but also enhanced CAR T cell efficacy by signaling synergistically with the CAR. Upon binding Fas ligand, Fas-CD40 activated the NF-κB pathway, inducing greatest proliferation and IFN-γ release out of all Fas-TNFRs tested. Fas-CD40 induced profound transcriptional modifications, particularly genes relating to the cell cycle, metabolism, and chemokine signaling. Co-expression of Fas-CD40 with either 4-1BB- or CD28-containing CARs increased

Indexed as

adoptive cell therapyapoptosiscancer therapyCAR T cellsFas ligandimmunotherapyMT: Oligonucleotides: Therapies and Applicationssynthetic biologyT cell signaling

Identifiers

PMID37200859
PMCPMC10185706
OpenAlexW4366978070

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.