Evidence map›Paper›PMID 34485921›Full record

ReviewNature cancer2021

Engineering enhanced CAR T-cells for improved cancer therapy.

Michael C Milone, Jie Xu, Sai-Juan Chen, McKensie A Collins, Jianfeng Zhou, Daniel J Powell, J Joseph Melenhorst

Erratum issuedAbstract readReview
In one paragraph

Review in Nature cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michael C MiloneCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Jie XuCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Sai-Juan ChenDepartment of Hematology, Shanghai Institute of Hematology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
McKensie A CollinsCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Jianfeng ZhouImmunotherapy Research Center for Hematologic Diseases of Hubei Province, PR China.
Daniel J PowellCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
J Joseph MelenhorstCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Linking insertional mutagenesis and cell function to improve CAR T cell therapyR01CA241762 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, MELENHORST, JAN J · 2019 to 2023
$3.1M
Engineering Efficient and Controllable Base EditorsR01GM138908 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KOHLI, RAHUL MANU · 2021 to 2024
$1.9M
NCI NIH HHS R01 CA241762NIGMS NIH HHS R01 GM138908
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cell therapies have evolved from a research tool to a paradigm-shifting therapy with impressive responses in B cell malignancies. This review summarizes the current state of the CAR T-cell field, focusing on CD19- and B cell maturation antigen-directed CAR T-cells, the most developed of the CAR T-cell therapies. We discuss the many challenges to CAR-T therapeutic success and innovations in CAR design and T-cell engineering aimed at extending this therapeutic platform beyond hematologic malignancies.

Indexed as

NeoplasmsReceptors, Chimeric AntigenAntigens, CD19HumansImmunotherapy, AdoptiveT-LymphocytesAntigens, CD19Receptors, Chimeric AntigenantigencancerCARchimericT cell

Identifiers

PMID34485921
PMCPMC8412433

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.