Evidence map›Paper›PMID 31366174›Full record

ReviewCancers2019

Human Tumor-Infiltrating Dendritic Cells: From in Situ Visualization to High-Dimensional Analyses.

Margaux Hubert, Elisa Gobbini, Nathalie Bendriss-Vermare, Christophe Caux, Jenny Valladeau-Guilemond

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 38 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

5 authors at 1 institution in 1 country.

Margaux HubertCancer Research Center Lyon, UMR INSERM 1052 CNRS 5286, Centre Léon Bérard, 28 rue Laennec, 69373 Lyon, France.
Elisa GobbiniCancer Research Center Lyon, UMR INSERM 1052 CNRS 5286, Centre Léon Bérard, 28 rue Laennec, 69373 Lyon, France.
Nathalie Bendriss-VermareCancer Research Center Lyon, UMR INSERM 1052 CNRS 5286, Centre Léon Bérard, 28 rue Laennec, 69373 Lyon, France.
Christophe CauxJoint first author..
Jenny Valladeau-GuilemondJoint first author.. jenny.valladeau@lyon.unicancer.fr.
Centre National de la Recherche Scientifique · FR

Funding

European Society for Medical Oncology fellowshipFondation ARC pour la Recherche sur le Cancer 4th year PhDInstitut National de la Santé et de la Recherche Médicale CRCLInstitut National Du Cancer PLBIO INCa_4508LABEX DEVweCAN ANR-10-LABX-0061Ligue Contre le Cancer Auvergne-Rhône-AlpesLigue Contre le Cancer Comité de SavoieLigue Contre le Cancer Saone et LoireSIRIC project LYRICAN, grant no. INCa_4664
6 · The paper itself

Abstract

The interaction between tumor cells and the immune system is considered to be a dynamic process. Dendritic cells (DCs) play a pivotal role in anti-tumor immunity owing to their outstanding T cell activation ability. Their functions and activities are broad ranged, triggering different mechanisms and responses to the DC subset. Several studies identified in situ human tumor-infiltrating DCs by immunostaining using a limited number of markers. However, considering the heterogeneity of DC subsets, the identification of each subtype present in the immune infiltrate is essential. To achieve this, studies initially relied on flow cytometry analyses to provide a precise characterization of tumor-associated DC subsets based on a combination of multiple markers. The concomitant development of advanced technologies, such as mass cytometry or complete transcriptome sequencing of a cell population or at a single cell level, has provided further details on previously identified populations, has unveiled previously unknown populations, and has finally led to the standardization of the DCs classification across tissues and species. Here, we review the evolution of tumor-associated DC description, from in situ visualization to their characterization with high-dimensional technologies, and the clinical use of these findings specifically focusing on the prognostic impact of DCs in cancers.

Indexed as

cytometrydendritic cellsimmune signaturesprognosisRNA-seqsingle cell RNA-seq

Identifiers

PMID31366174
PMCPMC6721288
OpenAlexW2964468713

What Socratic 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 Socratic graph.