Evidence map›Paper›PMID 41190308›Full record

ArticleClinical & translational immunology2025

High-dimensional spectral cytometry identifies follicular regulatory CD8

Alba Díaz Herrero, Phuong-Ha Le, Loic Renaud, Véronique Meignin, Catherine Thieblemont, Véronique Blanc, Vassili Soumelis, Pierre Tonnerre

Abstract read
In one paragraph

Article in Clinical & translational immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alba Díaz HerreroInstitut de Recherche Saint-Louis Université Paris-Cité, Inserm U1342 Paris France.
Phuong-Ha LeInstitut de Recherche Saint-Louis Université Paris-Cité, Inserm U1342 Paris France.
Loic RenaudAssistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Hematology-Oncologie Université de Paris-Cité Paris France.ORCID https://orcid.org/0000-0001-7213-9464
Véronique MeigninPathology Department Hôpital Saint-Louis, AP-HP Paris France.
Catherine ThieblemontAssistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Hematology-Oncologie Université de Paris-Cité Paris France.
Véronique BlancInstitut de Recherche Servier Gif-sur-Yvette France.
Vassili SoumelisInstitut de Recherche Saint-Louis Université Paris-Cité, Inserm U1342 Paris France.
Pierre TonnerreInstitut de Recherche Saint-Louis Université Paris-Cité, Inserm U1342 Paris France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Diffuse large B-cell lymphoma (DLBCL) constitutes 30-40% of non-Hodgkin lymphoma cases. Despite therapeutic advances, persistence of relapsed cases has been linked to the complex tumor microenvironment (TME) and its interactions with lymphoma cells. In particular, characterising T-cell subsets, including rare cell types, and their interplay with the remaining TME is crucial for unravelling DLBCL pathogenesis and refining therapeutic strategies. Methods: Using flow and spectral cytometry with unsupervised analysis, we investigated T-cell subpopulations across DLBCL biopsies and control lymph nodes (LN). We also inferred communication pathways between T cells and other immune cells in the TME based on the correlation of ligand-receptor expression. Results: Our analysis revealed a higher frequency of CD8 Conclusions: Our study highlights the utility of high-dimensional computational cytometry in elucidating T-cell subpopulations, including an increased frequency of CD8

Indexed as

DLBCLfollicular regulatory CD8+ T cellsspectral cytometryunsupervised analysis

Identifiers

PMID41190308
PMCPMC12581182

What OpenQuestion 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 OpenQuestion graph.