Evidence map›Paper›PMID 38158444›Full record

ArticleLeukemia2024

Genetic and transcriptomic analyses of diffuse large B-cell lymphoma patients with poor outcomes within two years of diagnosis.

Weicheng Ren, Hui Wan, Sulaf Abd Own, Mattias Berglund, Xianhuo Wang, Mingyu Yang, Xiaobo Li, Dongbing Liu, Xiaofei Ye, Kristina Sonnevi and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.4field-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

24 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
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  6. Elevated circulating CD10Annals of hematology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Computational modelling of aggressive B-cell lymphoma.Biochemical Society transactions · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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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

18 authors at 5 institutions in 2 countries.

Weicheng Ren *Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Hui Wan *Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4368-8672
Sulaf Abd Own *Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Mattias BerglundDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Xianhuo WangDepartment of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.ORCID http://orcid.org/0000-0002-7663-2923
Mingyu YangDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Xiaobo LiBGI Research, Shenzhen, China.
Dongbing LiuBGI Research, Shenzhen, China.ORCID http://orcid.org/0000-0003-2870-5187
Xiaofei YeDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7678-1152
Kristina SonneviDepartment of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Gunilla EnbladDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-0594-724X
Rose-Marie AminiDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0901-5252
Birgitta SanderDepartment of Hematology, Karolinska University Hospital, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1214-1340
Kui WuBGI Research, Shenzhen, China.ORCID http://orcid.org/0000-0002-6857-7231
Huilai ZhangDepartment of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.ORCID http://orcid.org/0000-0002-8558-3131
Björn Engelbrekt WahlinDepartment of Hematology, Karolinska University Hospital, Stockholm, Sweden.
Karin E SmedbyDivision of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Qiang Pan-HammarströmDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. Qiang.Pan-Hammarstrom@ki.se.ORCID http://orcid.org/0000-0003-1990-8804
Karolinska University Hospital · SEBGI Group (China) · CNKarolinska Institutet · SEUppsala University · SETianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the improvements in clinical outcomes for DLBCL, a significant proportion of patients still face challenges with refractory/relapsed (R/R) disease after receiving first-line R-CHOP treatment. To further elucidate the underlying mechanism of R/R disease and to develop methods for identifying patients at risk of early disease progression, we integrated clinical, genetic and transcriptomic data derived from 2805 R-CHOP-treated patients from seven independent cohorts. Among these, 887 patients exhibited R/R disease within two years (poor outcome), and 1918 patients remained in remission at two years (good outcome). Our analysis identified four preferentially mutated genes (TP53, MYD88, SPEN, MYC) in the untreated (diagnostic) tumor samples from patients with poor outcomes. Furthermore, transcriptomic analysis revealed a distinct gene expression pattern linked to poor outcomes, affecting pathways involved in cell adhesion/migration, T-cell activation/regulation, PI3K, and NF-κB signaling. Moreover, we developed and validated a 24-gene expression score as an independent prognostic predictor for treatment outcomes. This score also demonstrated efficacy in further stratifying high-risk patients when integrated with existing genetic or cell-of-origin subtypes, including the unclassified cases in these models. Finally, based on these findings, we developed an online analysis tool ( https://lymphprog.serve.scilifelab.se/app/lymphprog ) that can be used for prognostic prediction for DLBCL patients.

Indexed as

DoxorubicinLymphoma, Large B-Cell, DiffuseAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideGene Expression ProfilingHumansPrednisonePrognosisRituximabVincristineCyclophosphamideDoxorubicinPrednisoneRituximabVincristine

Identifiers

PMID38158444
PMCPMC10912034
OpenAlexW4390412467

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.