Evidence map›Paper›PMID 37031299›Full record

ArticleLeukemia2023

A novel patient-derived 3D model recapitulates mantle cell lymphoma lymph node signaling, immune profile and in vivo ibrutinib responses.

Ferran Araujo-Ayala, Cèlia Dobaño-López, Juan García Valero, Ferran Nadeu, Fabien Gava, Carla Faria, Marine Norlund, Renaud Morin, Pascale Bernes-Lasserre, Neus Serrat and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. Goodbye flat lymphoma biology.FEBS letters · 2025
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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

19 authors at 4 institutions in 2 countries.

Ferran Araujo-Ayala *Fundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0001-7288-7737
Cèlia Dobaño-López *Fundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.
Juan García ValeroFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0003-3193-9099
Ferran NadeuFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2910-9440
Fabien GavaCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Toulouse, France.
Carla FariaCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Toulouse, France.
Marine NorlundIMACTIV-3D, Toulouse, France.
Renaud MorinIMACTIV-3D, Toulouse, France.
Pascale Bernes-LasserreIMACTIV-3D, Toulouse, France.
Neus SerratFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.
Heribert Playa-AlbinyanaFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3447-3848
Rubén GiménezFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0001-7631-0708
Elías CampoFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0001-9850-9793
Jean-Michel LagardeIMACTIV-3D, Toulouse, France.
Armando López-GuillermoFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.
Eva GineFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.
Dolors ColomerFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain.ORCID http://orcid.org/0000-0001-7486-8484
Christine BezombesCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Toulouse, France.
Patricia Pérez-GalánFundació de Recerca Clínic Barcelona (FCRB)-IDIBAPS, Barcelona, Spain. pperez@recerca.clinic.cat.ORCID http://orcid.org/0000-0003-3895-5024
Fundació Clínic per a la Recerca Biomèdica · ESBarcelona Graduate School of Mathematics · ESCentre National de la Recherche Scientifique · FRHospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mantle cell lymphoma (MCL), a rare and aggressive B-cell non-Hodgkin lymphoma, mainly develops in the lymph node (LN) and creates a protective and immunosuppressive niche that facilitates tumor survival, proliferation and chemoresistance. To capture disease heterogeneity and tumor microenvironment (TME) cues, we have developed the first patient-derived MCL spheroids (MCL-PDLS) that recapitulate tumor oncogenic pathways and immune microenvironment in a multiplexed system that allows easy drug screening, including immunotherapies. MCL spheroids, integrated by tumor B cells, monocytes and autologous T-cells self-organize in disc-shaped structures, where B and T-cells maintain viability and proliferate, and monocytes differentiate into M2-like macrophages. RNA-seq analysis demonstrated that tumor cells recapitulate hallmarks of MCL-LN (proliferation, NF-kB and BCR), with T cells exhibiting an exhaustion profile (PD1, TIM-3 and TIGIT). MCL-PDLS reproduces in vivo responses to ibrutinib and demonstrates that combination of ibrutinib with nivolumab (anti-PD1) may be effective in ibrutinib-resistant cases by engaging an immune response with increased interferon gamma and granzyme B release. In conclusion, MCL-PDLS recapitulates specific MCL-LN features and in vivo responses to ibrutinib, representing a robust tool to study MCL interaction with the immune TME and to perform drug screening in a patient-derived system, advancing toward personalized therapeutic approaches.

Indexed as

Lymphoma, Mantle-CellAdenineAdultCell Line, TumorDrug Resistance, NeoplasmHumansPiperidinesTumor MicroenvironmentAdenineibrutinibPiperidines

Identifiers

PMID37031299
PMCPMC10244172
OpenAlexW4362720833

What OpenQuestion holds

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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.