Evidence map›Paper›PMID 31919622›Full record

ArticleCancer immunology, immunotherapy : CII2020

Mass cytometry defines distinct immune profile in germinal center B-cell lymphomas.

Mikael Roussel, Faustine Lhomme, Caroline E Roe, Todd Bartkowiak, Pauline Gravelle, Camille Laurent, Thierry Fest, Jonathan M Irish

Open access · bronzeAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. CyTOFFrontiers in immunology · 2022
    Review
  6. Article
  7. Review
  8. Review
  9. Targeting of CD163International journal of molecular sciences · 2020
    Review
  10. Article
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 at 3 institutions in 2 countries.

Mikael RousselLaboratoire Hématologie, CHU Pontchaillou, Centre Hospitalier Universitaire de Rennes, Pôle Biologie, 2 rue Henri Le Guilloux, 35033, Rennes, France. mikael.roussel@chu-rennes.fr.ORCID http://orcid.org/0000-0002-9741-0668
Faustine LhommeINSERM, UMR U1236, Université Rennes 1, EFS Bretagne, Equipe Labellisée Ligue Contre Le Cancer, Rennes, France.ORCID http://orcid.org/0000-0001-8790-0076
Caroline E RoeDepartment of Cell and Developmental Biology, Vanderbilt University School of Medicine, 740B Preston Building, 2220 Pierce Avenue, Nashville, TN, 37232-6840, USA.ORCID http://orcid.org/0000-0003-4680-9553
Todd BartkowiakDepartment of Cell and Developmental Biology, Vanderbilt University School of Medicine, 740B Preston Building, 2220 Pierce Avenue, Nashville, TN, 37232-6840, USA.ORCID http://orcid.org/0000-0003-2396-0197
Pauline GravelleService Anatomie et Cytologie Pathologiques and UMR1037, Toulouse, France.ORCID http://orcid.org/0000-0002-0462-5652
Camille LaurentService Anatomie et Cytologie Pathologiques and UMR1037, Toulouse, France.ORCID http://orcid.org/0000-0002-5375-7512
Thierry FestLaboratoire Hématologie, CHU Pontchaillou, Centre Hospitalier Universitaire de Rennes, Pôle Biologie, 2 rue Henri Le Guilloux, 35033, Rennes, France.ORCID http://orcid.org/0000-0002-6437-4189
Jonathan M IrishDepartment of Cell and Developmental Biology, Vanderbilt University School of Medicine, 740B Preston Building, 2220 Pierce Avenue, Nashville, TN, 37232-6840, USA. jonathan.irish@vanderbilt.edu.ORCID http://orcid.org/0000-0001-9428-8866
Inserm · FRVanderbilt University · USCentre de Recherche en Cancérologie de Toulouse · FR

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Single-Cell Biology and Data Analysis Shared Resource (SCB-DA SR)U54CA217450 · NCI · VANDERBILT UNIVERSITY · PI WEAVER, ALISSA M · 2018 to 2022
$8.5M
Single Cell Methods for Bioeffector Discovery and AnalysisR01CA226833 · NCI · VANDERBILT UNIVERSITY · PI BRIAN O BACHMANN, Jonathan Michael Irish · 2019 to 2026
$6.1M
Hallmarks of Protective Immunity in Sequential Rhinovirus Infections in HumansU01AI125056 · NIAID · UNIVERSITY OF VIRGINIA · PI WOODFOLK, JUDITH A · 2016 to 2020
$4.1M
BU-CMD Chemical Library Consortium: Fostering Collaborations between Chemists and Biologists for Translational DiscoveryU01TR002625 · NCATS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI PORCO, JOHN A. · 2020 to 2023
$2.7M
Generation:Stereochemically/Structurally Complex*(RMI)P41GM076263 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI PORCO, JOHN A · 2005 to 2007
$1.2M
Targeting the B Cell Receptor Signaling Network in LymphomaR00CA143231 · NCI · VANDERBILT UNIVERSITY · PI IRISH, JONATHAN MICHAEL · 2012 to 2014
$715k
Memory potential, molecular characterization, and translational applications of the novel ThEO/TcEO T cell phenotypeK00CA212447 · NCI · VANDERBILT UNIVERSITY · PI BARTKOWIAK, TODD · 2018 to 2021
$309k
NCATS NIH HHS U01 TR002625NCI NIH HHS K00 CA212447NCI NIH HHS P30 CA068485NCI NIH HHS R00 CA143231NCI NIH HHS R01 CA226833NCI NIH HHS U54 CA217450NIAID NIH HHS U01 AI125056NIGMS NIH HHS P41 GM076263
6 · The paper itself

Abstract

Tumor-associated macrophage and T-cell subsets are implicated in the pathogenesis of diffuse large B-cell lymphoma, follicular lymphoma, and classical Hodgkin lymphoma. Macrophages provide essential mechanisms of tumor immune evasion through checkpoint ligand expression and secretion of suppressive cytokines. However, normal and tumor-associated macrophage phenotypes are less well characterized than those of tumor-infiltrating T-cell subsets, and it would be especially valuable to know whether the polarization state of macrophages differs across lymphoma tumor microenvironments. Here, an established mass cytometry panel designed to characterize myeloid-derived suppressor cells and known macrophage maturation and polarization states was applied to characterize B-lymphoma tumors and non-malignant human tissue. High-dimensional single-cell analyses were performed using dimensionality reduction and clustering tools. Phenotypically distinct intra-tumor macrophage subsets were identified based on abnormal marker expression profiles that were associated with lymphoma tumor types. While it had been proposed that measurement of CD163 and CD68 might be sufficient to reveal macrophage subsets in tumors, results here indicated that S100A9, CCR2, CD36, Slan, and CD32 should also be measured to effectively characterize lymphoma-specific tumor macrophages. Additionally, the presence of phenotypically distinct, abnormal macrophage populations was closely linked to the phenotype of intra-tumor T-cell populations, including PD-1 expressing T cells. These results further support the close links between macrophage polarization and T-cell functional state, as well as the rationale for targeting tumor-associated macrophages in cancer immunotherapies.

Indexed as

AdultAgedFemaleFlow CytometryGerminal CenterHumansLymphoma, Large B-Cell, DiffuseMacrophagesMaleMiddle AgedYoung AdultGerminal centerLymphomaMass cytometryTumor-associated macrophages

Identifiers

PMID31919622
PMCPMC7764565
OpenAlexW3000520222

What OpenQuestion holds

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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.