Evidence map›Paper›PMID 21091116›Full record

ReviewImmunotherapy2010

Enhancement of dendritic cells as vaccines for cancer.

Meghan E Turnis, Cliona M Rooney

Abstract readReview
In one paragraph

Review in Immunotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

30 citing papers in PubMed, 75 citations in OpenAlex.

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  8. Nucleic acid vaccination strategies for ovarian cancer.Frontiers in bioengineering and biotechnology · 2022
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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.

Meghan E TurnisBaylor College of Medicine, Houston, TX 77030, USA.
Cliona M Rooney
Baylor College of Medicine · US

Funding

Tissue ResourceP50CA126752 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MALCOLM K. BRENNER, HELEN E HESLOP · 2007 to 2026
$51.4M
VECTOR PRODUCTIONP01CA094237 · NCI · BAYLOR COLLEGE OF MEDICINE · PI HESLOP, HELEN E, ROONEY, CLIONA M. · 2002 to 2017
$27.8M
Training In Cell and Gene TherapyT32HL092332 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI MALCOLM K. BRENNER, Bruno Di Stefano · 2008 to 2026
$6.9M
NCI NIH HHS P01 CA094237NCI NIH HHS P50 CA126752NHLBI NIH HHS T32 HL092332
6 · The paper itself

Abstract

Dendritic cells are the most potent antigen-presenting cells known; owing to their ability to stimulate antigen-specific cytolytic and memory T-cell responses, their use as cancer vaccines is rapidly increasing. While clinical trials provide evidence that dendritic cells vaccines are safe and elicit immunological responses in most patients, few complete tumor remissions have been reported and further technological advances are required. An effective dendritic cell vaccine must possess and maintain several characteristics: it must migrate to lymph nodes, have a mature, Th1-polarizing phenotype expressed stably after infusion and present antigen for sufficient time to produce a T-cell response capable of eliminating a tumor. While dendritic cells are readily matured ex vivo, their phenotype and fate after infusion are rarely evaluable; therefore, strategies to ensure that dendritic cells access lymphoid tissues and retain an immunostimulatory phenotype are required. In order to best exploit dendritic cells as vaccines, they may require genetic modification and combination with other strategies including adoptive T-cell transfer, inhibition of regulatory T cells or modulation of inflammatory pathways.

Indexed as

AnimalsAntigen-Presenting CellsAntigens, NeoplasmCancer VaccinesClinical Trials as TopicDendritic CellsHumansMiceNeoplasmsT-LymphocytesTreatment OutcomeAntigens, NeoplasmCancer Vaccines

Identifiers

PMID21091116
PMCPMC3433954
OpenAlexW2142661743

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.