Evidence map›Paper›PMID 30315238›Full record

ReviewLeukemia2018

CAR T-cells for T-cell malignancies: challenges in distinguishing between therapeutic, normal, and neoplastic T-cells.

Marion Alcantara, Melania Tesio, Carl H June, Roch Houot

Open access · greenAbstract readReview
In one paragraph

Review in Leukemia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 citations in OpenAlex.

  1. Pooled it
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  11. Novel Therapeutic Approaches in Pediatric Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2025
    Review
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  18. Article
  19. Advances in CAR-T-cell therapy in T-cell malignancies.Journal of hematology & oncology · 2024
    Review
  20. Review

24 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 at 4 institutions in 2 countries.

Marion AlcantaraLaboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Necker-Enfants Malades, Paris, France.
Melania TesioInstitut Necker Enfants Malades (INEM), Institut National de Recherche Médicale (INSERM) U1151, Paris, France.
Carl H JuneCenter for Cellular Immunotherapies, Perlman School of Medicine, Philadelphia, PA, USA.
Roch HouotCHU Rennes, Service Hématologie Clinique, 35033, Rennes, France. roch.houot@chu-rennes.fr.
CIC Rennes · FRInserm · FRInstitut Necker Enfants Malades · FRParker Institute for Cancer Immunotherapy · US

Funding

Project 3: Combinatorial and gene-editing approaches to enhance the efficacy of CAR T cell therapy of multiple myeloma.P01CA214278 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Joseph Anthony Fraietta · 2017 to 2026
$26.8M
NCI NIH HHS P01 CA214278
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cells targeting CD19 demonstrated remarkable efficacy for the treatment of B-cell malignancies. The development of CAR T-cells against T-cell malignancies appears more challenging due to the similarities between the therapeutic, normal and malignant T-cells. The obstacles include CAR T-cell fratricide, T-cell aplasia, and contamination of CAR T-cell products with malignant T-cells. Here, we review these challenges and propose solutions to overcome these limitations.

Indexed as

AnimalsAntigens, CD19HumansImmunotherapy, AdoptiveLymphoma, B-CellNeoplasmsReceptors, Chimeric AntigenT-LymphocytesAntigens, CD19Receptors, Chimeric Antigen

Identifiers

PMID30315238
PMCPMC7433349
OpenAlexW2897652969

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.