Evidence map›Paper›PMID 25483669›Full record

ReviewHuman vaccines & immunotherapeutics2014

Engineering better immunotherapies via RNA interference.

Mouldy Sioud

Abstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Production of mRNA-Loaded Dendritic Cell Cancer Vaccines.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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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

1 author.

Mouldy Siouda Department of Immunology; Institute for Cancer Research ; Oslo University Hospital ; Montebello , Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic potential of dendritic cell (DC) cancer vaccines has gained momentum in recent years. However, clinical data indicate that antitumor immune responses generally fail to translate into measurable tumor regression. This has been ascribed to a variety of tolerance mechanisms, one of which is the expression of immunosuppressive factors by DCs and T cells. With respect to cancer immunotherapies, these factors antagonise the ability to induce robust and sustained immunity required for tumor cell eradication. Gene silencing of immunosuppressive factors in either DCs or adoptive transferred T cells enhanced anti-tumor immune responses and significantly inhibited tumor growth. Therefore, engineered next generation of DC vaccines or adoptive T-cell therapy should include immunomodulatory siRNAs to release the "brakes" imposed by the immune system. Moreover, the combination of gene silencing, antigen targeting to DCs and cytoplasmic cargo delivery will improve clinical benefits.

Indexed as

Cancer VaccinesDendritic CellsHumansImmunomodulationImmunotherapy, AdoptiveIndoleamine-Pyrrole 2,3,-DioxygenaseNeoplasmsRNA InterferenceRNA, Small InterferingT-LymphocytesCancer VaccinesIndoleamine-Pyrrole 2,3,-DioxygenaseRNA, Small InterferingAML, acute myeloid leukemiacancer vaccineCMV, human cytomegalovirusCTLA4, T-lymphocyte-associated antigen 4DC, Dendritic cellsGal, galectin hTERT, human telomerase reverse transcriptasegene silencingIDO, indoleamine 2,3-dioxygenaseIL, interleukinimmunotherapyINF, interferonNK, natural killerPD1, programmed cell deathRNA interferenceRNAi, RNA interferencesiRNA, small interfering RNASOCS1, suppressor of cytokine signalingSTAT, Signal transducer and activator of transcriptiontargeted therapiesT-cell therapyTCR, T cell receptorTLR, toll like receptorTreg, Regulatory T

Identifiers

PMID25483669
PMCPMC4514080

What OpenQuestion holds

Textmetadata
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.