Evidence map›Paper›PMID 23998732›Full record

ReviewImmunotherapy2013

CD4 T-cell immunotherapy for chronic viral infections and cancer.

Alice O Kamphorst, Rafi Ahmed

Open access · greenAbstract readReview
In one paragraph

Review in Immunotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

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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.

Alice O KamphorstEmory Vaccine Center, Department of Microbiology & Immunology, Emory University School of Medicine, 1510 Clifton Road, Room G211, Atlanta, GA 30322, USA.
Rafi Ahmed
Emory University · US

Funding

Targeting the PD-1 signaling pathway to rescue HIV T cell dysfunctionP01AI080192 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI · 2008 to 2012
$12.6M
T CELL MEMORY TO VIRUSESR01AI030048 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AHMED, RAFI · 1990 to 2022
$5.2M
Regulation of chronic viral infection by co-inhibitory pathwaysR01AI081846 · NIAID · HARVARD MEDICAL SCHOOL · PI SHARPE, ARLENE H. · 2010 to 2014
$685k
NIAID NIH HHS P01 AI080192NIAID NIH HHS R01 AI030048NIAID NIH HHS R01AI030048NIAID NIH HHS R01 AI081846PHS HHS P01 A1080192
6 · The paper itself

Abstract

During chronic infections and cancer, T cells progressively lose function and become exhausted. However, effective T-cell responses are necessary to ultimately control viral infections and tumors. Hence, strategies that either restore endogenous immune responses or provide functional T cells by adoptive immunotherapy need to be explored. CD8 T cells play a prominent role in viral infections, as well as cancer, but CD4 T cells are necessary to support CD8 T-cell function. In addition, CD4 T cells exert direct effector functions, induce optimal B-cell responses and orchestrate innate immunity. Therefore, we propose that adoptive transfer strategies should exploit CD4 T cells alone or in combination with CD8 T cells, for the treatment of chronic infections and cancer. Furthermore, since adoptively transferred cells are subject to exhaustion, combining adoptive transfer therapy with immunotherapies that inhibit T-cell exhaustion should maximize the longevity and success rate of responses.

Indexed as

CD4-Positive T-LymphocytesNeoplasmsVirus DiseasesAdoptive TransferAnimalsB-LymphocytesCD8-Positive T-LymphocytesChronic DiseaseHumansImmunity, Innate

Identifiers

PMID23998732
PMCPMC3864579
OpenAlexW1974811080

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.