Evidence map›Paper›PMID 38022603›Full record

ReviewFrontiers in immunology2023

Modeling the crosstalk between malignant B cells and their microenvironment in B-cell lymphomas: challenges and opportunities.

Baptiste Brauge, Elise Dessauge, Florent Creusat, Karin Tarte

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  7. Review
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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

4 authors at 1 institution in 1 country.

Baptiste BraugeUMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France.
Elise DessaugeUMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France.
Florent CreusatUMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France.
Karin TarteUMR 1236, Univ Rennes, INSERM, Etablissement Français du Sang Bretagne, Equipe Labellisée Ligue, Rennes, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B-cell lymphomas are a group of heterogeneous neoplasms resulting from the clonal expansion of mature B cells arrested at various stages of differentiation. Specifically, two lymphoma subtypes arise from germinal centers (GCs), namely follicular lymphoma (FL) and GC B-cell diffuse large B-cell lymphoma (GCB-DLBCL). In addition to recent advances in describing the genetic landscape of FL and GCB-DLBCL, tumor microenvironment (TME) has progressively emerged as a central determinant of early lymphomagenesis, subclonal evolution, and late progression/transformation. The lymphoma-supportive niche integrates a dynamic and coordinated network of immune and stromal cells defining microarchitecture and mechanical constraints and regulating tumor cell migration, survival, proliferation, and immune escape. Several questions are still unsolved regarding the interplay between lymphoma B cells and their TME, including the mechanisms supporting these bidirectional interactions, the impact of the kinetic and spatial heterogeneity of the tumor niche on B-cell heterogeneity, and how individual genetic alterations can trigger both B-cell intrinsic and B-cell extrinsic signals driving the reprogramming of non-malignant cells. Finally, it is not clear whether these interactions might promote resistance to treatment or, conversely, offer valuable therapeutic opportunities. A major challenge in addressing these questions is the lack of relevant models integrating tumor cells with specific genetic hits, non-malignant cells with adequate functional properties and organization, extracellular matrix, and biomechanical forces. We propose here an overview of the 3D

Indexed as

Lymphoma, FollicularLymphoma, Large B-Cell, DiffuseAnimalsB-LymphocytesCell DifferentiationGerminal CenterHumansMiceTumor Microenvironment3D modelsdiffuse large B-cell lymphomafollicular lymphomagenetically-engineered mouse modelsgerminal centerstromal cellstumor microenvironmentxenografts

Identifiers

PMID38022603
PMCPMC10652758
OpenAlexW4388219132

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.