Evidence map›Paper›PMID 36387143›Full record

ReviewFrontiers in oncology2022

The path towards consensus genome classification of diffuse large B-cell lymphoma for use in clinical practice.

Matias Mendeville, Margaretha G M Roemer, G Tjitske Los-de Vries, Martine E D Chamuleau, Daphne de Jong, Bauke Ylstra

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. RHOA controls oncogenic B cell receptor signaling in aggressive lymphoma.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. 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

6 authors.

Matias Mendeville1Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit, Amsterdam, Netherlands.
Margaretha G M Roemer1Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit, Amsterdam, Netherlands.
G Tjitske Los-de Vries1Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit, Amsterdam, Netherlands.
Martine E D ChamuleauDepartment of Haematology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit, Amsterdam, Netherlands.
Daphne de Jong1Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit, Amsterdam, Netherlands.
Bauke Ylstra1Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is a widely heterogeneous disease in presentation, treatment response and outcome that results from a broad biological heterogeneity. Various stratification approaches have been proposed over time but failed to sufficiently capture the heterogeneous biology and behavior of the disease in a clinically relevant manner. The most recent DNA-based genomic subtyping studies are a major step forward by offering a level of refinement that could serve as a basis for exploration of personalized and targeted treatment for the years to come. To enable consistent trial designs and allow meaningful comparisons between studies, harmonization of the currently available knowledge into a single genomic classification widely applicable in daily practice is pivotal. In this review, we investigate potential avenues for harmonization of the presently available genomic subtypes of DLBCL inspired by consensus molecular classifications achieved for other malignancies. Finally, suggestions for laboratory techniques and infrastructure required for successful clinical implementation are described.

Indexed as

bioinformaticsconsensus classificationdiffuse large B-cell lymphoma (DLBCL)genomicsnext generation sequencing (NGS)

Identifiers

PMID36387143
PMCPMC9648119

What OpenQuestion holds

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Registered trials

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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.