Evidence map›Paper›PMID 37951207›Full record

ArticleMed (New York, N.Y.)2023

Now you see me, now you don't: New approaches to sparing nonmalignant cells from CAR T cell therapies.

Nicholas E Petty, Justin Thomas, Stefan Radtke, Hans-Peter Kiem

Abstract read
In one paragraph

Article in Med (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicholas E PettyStem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Medical Scientist Training Program, University of Washington School of Medicine, Seattle, WA 98195, USA.
Justin ThomasStem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Medical Scientist Training Program, University of Washington School of Medicine, Seattle, WA 98195, USA.
Stefan RadtkeStem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Hans-Peter KiemStem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. Electronic address: hkiem@fredhutch.org.

Funding

Novel Gene Editing Approaches for HemoglobinopathiesR01HL136135 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HANS-PETER KIEM · 2017 to 2026
$7.7M
Base-Edited Hematopoietic Stem and Progenitor Cells To Enable Safe Use Of Highly Potent CD33-Targeted RadioimmunotherapyR01CA266556 · NCI · FRED HUTCHINSON CANCER CENTER · PI Roland Bruno Walter · 2022 to 2026
$3.5M
Development of 211Astatine-Conjugated Anti-CD45 Antibody-Based Conditioning for Hematopoietic Stem Cell Gene Therapy and EditingR01HL151765 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KIEM, HANS-PETER, WALTER, ROLAND BRUNO · 2020 to 2023
$3.5M
NCI NIH HHS R01 CA266556NHLBI NIH HHS R01 HL136135NHLBI NIH HHS R01 HL151765
6 · The paper itself

Abstract

While new immunotherapies have revolutionized the field of oncology, they have been limited by their inability to distinguish between cancerous cells and healthy HSPCs. Work by Casirati et al.

Indexed as

Immunotherapy, AdoptiveNeoplasms

Identifiers

PMID37951207
PMCPMC12107705

What OpenQuestion holds

Textmetadata
LicenceTDM
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.