Evidence map›Paper›PMID 32952936›Full record

ArticleComputational and structural biotechnology journal2020

Predicting combinations of immunomodulators to enhance dendritic cell-based vaccination based on a hybrid experimental and computational platform.

Rita Ahmed, Isaac Crespo, Sandra Tuyaerts, Amel Bekkar, Michele Graciotti, Ioannis Xenarios, Lana E Kandalaft

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

7 authors at 4 institutions in 2 countries.

Rita AhmedDepartment of Oncology, University Hospital of Lausanne, Lausanne, Switzerland.
Isaac CrespoDepartment of Oncology, University Hospital of Lausanne, Lausanne, Switzerland.
Sandra TuyaertsDepartment of Oncology, Leuven Cancer Institute (LKI), University of Leuven (KU Leuven), Leuven, Belgium.
Amel BekkarCenter for Integrative Genomics, University of Lausanne (UNIL), Lausanne, Switzerland.
Michele GraciottiDepartment of Oncology, University Hospital of Lausanne, Lausanne, Switzerland.
Ioannis XenariosCenter for Integrative Genomics, University of Lausanne (UNIL), Lausanne, Switzerland.
Lana E KandalaftDepartment of Oncology, University Hospital of Lausanne, Lausanne, Switzerland.
University Hospital of Lausanne · CHUniversity of Lausanne · CHKU Leuven · BESIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic cell (DC)-based vaccines have been largely used in the adjuvant setting for the treatment of cancer, however, despite their proven safety, clinical outcomes still remain modest. In order to improve their efficacy, DC-based vaccines are often combined with one or multiple immunomodulatory agents. However, the selection of the most promising combinations is hampered by the plethora of agents available and the unknown interplay between these different agents. To address this point, we developed a hybrid experimental and computational platform to predict the effects and immunogenicity of dual combinations of stimuli once combined with DC vaccination, based on the experimental data of a variety of assays to monitor different aspects of the immune response after a single stimulus. To assess the stimuli behavior when used as single agents, we first developed an

Indexed as

AlgorithmCancerDendritic cellsHybrid platformImmunotherapyPredictionVaccines

Identifiers

PMID32952936
PMCPMC7475195
OpenAlexW3047845253

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.