Evidence map›Paper›PMID 33546277›Full record

ReviewCancers2021

T-Cell Dysfunction as a Limitation of Adoptive Immunotherapy: Current Concepts and Mitigation Strategies.

Valérie Janelle, Jean-Sébastien Delisle

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.3field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 42 citations in OpenAlex.

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  7. Low-dose IL-2 Ameliorates Experimental Autoimmune Myasthenia Gravis in Rats by Restoring the CD4-positive Helper T-cell Balance Via the JAK/STAT5 Pathway.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
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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

2 authors at 1 institution in 1 country.

Valérie JanelleCentre de Recherche de l'Hôpital Maisonneuve-Rosemont, Montréal, QC H1T 2M4, Canada.ORCID 0000-0002-7506-8048
Jean-Sébastien DelisleCentre de Recherche de l'Hôpital Maisonneuve-Rosemont, Montréal, QC H1T 2M4, Canada.ORCID 0000-0003-1460-7287
Hôpital Maisonneuve-Rosemont · CA

Funding

Leukemia and Lymphoma Society of Canada 622735Richard and Edith Strauss Foundation N/A
6 · The paper itself

Abstract

Over the last decades, cellular immunotherapy has revealed its curative potential. However, inherent physiological characteristics of immune cells can limit the potency of this approach. Best defined in T cells, dysfunction associated with terminal differentiation, exhaustion, senescence, and activation-induced cell death, undermine adoptive cell therapies. In this review, we concentrate on how the multiple mechanisms that articulate the various forms of immune dysfunction impact cellular therapies primarily involving conventional T cells, but also other lymphoid subtypes. The repercussions of immune cell dysfunction across the full life cycle of cell therapy, from the source material, during manufacturing, and after adoptive transfer, are discussed, with an emphasis on strategies used during ex vivo manipulations to limit T-cell dysfunction. Applicable to cellular products prepared from native and unmodified immune cells, as well as genetically engineered therapeutics, the understanding and potential modulation of dysfunctional features are key to the development of improved cellular immunotherapies.

Indexed as

adoptive cell transferapoptosischimeric antigen receptorexhaustionimmunotherapysenescenceT cellsterminal differentiationtransgenic T-cell receptortumor-infiltrating lymphocytes

Identifiers

PMID33546277
PMCPMC7913380
OpenAlexW3127194872

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.