Evidence map›Paper›PMID 39545339›Full record

ReviewHistopathology2025

Evolving molecular classification of aggressive B-cell lymphoma.

Stefan K Alig, Björn Chapuy, Daisuke Ennishi, Kieron Dunleavy, Daniel J Hodson

Abstract readReview
In one paragraph

Review in Histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Stefan K AligDepartment of Internal Medicine III, Ludwig Maximilian University (LMU) Hospital, Munich, Germany.ORCID https://orcid.org/0000-0001-6825-702X
Björn ChapuyDepartment of Hematology, Oncology and Cancer Immunology, Charité-University Medical Center Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-6485-8773
Daisuke EnnishiCenter for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan.ORCID https://orcid.org/0000-0003-4788-2103
Kieron DunleavyDepartment of Hematology, Lombardi Comprehensive Cancer Center, Washington, DC, USA.ORCID https://orcid.org/0000-0003-1985-8296
Daniel J HodsonCambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0001-6225-2033

Funding

Cancer Research UK RCCFEL\100072(DJH)CRUK Cambridge Centre A25117(DJH)German Cancer Aid 70115738(SKA)German Research Foundation (DFG) SFB1530-C05;CH735/5-1Medical Research Council MC_PC_17230NIHR BioResource BRC-1215-55520014(DJH)Wellcome TrustWellcome Trust 203151/Z/16/Z(DJH)
6 · The paper itself

Abstract

This review aims to provide an overview of the latest developments in the classification and molecular understanding of aggressive B-cell lymphomas, specifically focusing on diffuse large B-cell lymphoma (DLBCL) and high-grade B-cell lymphoma (HGBL). Advances in molecular techniques have led to novel ways to classify these lymphomas based on clinical, histological, transcriptional, and genetic properties. While these methods have predominantly focused on the malignant compartment, recent studies emphasize the value of profiling the tumour microenvironment for a more comprehensive disease classification. Additionally, the integration of liquid biopsies represents a promising advancement, offering less invasive and dynamic insights into tumour characteristics and treatment response. Although molecular profiles are not yet routinely used to guide therapy, emerging data highlight their potential to predict responses to novel treatments. It is our belief that integrating molecular profiling and liquid biopsies into clinical practice and research now will pave the way for more personalized and effective therapies in the future.

Indexed as

Lymphoma, B-CellLymphoma, Large B-Cell, DiffuseBiomarkers, TumorGene Expression ProfilingHumansTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID39545339
PMCPMC11648360

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.