Evidence map›Paper›PMID 27276707›Full record

Trial reportOncotarget2016

Relapsed diffuse large B-cell lymphoma present different genomic profiles between early and late relapses.

Julien Broséus, Gaili Chen, Sébastien Hergalant, Gérard Ramstein, Nicolas Mounier, Jean-Louis Guéant, Pierre Feugier, Christian Gisselbrecht, Catherine Thieblemont, Rémi Houlgatte

Open access · diamondAbstract readClinical Trial, Phase IIIComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Targeting Protein Kinases in Blood Cancer: Focusing on CK1α and CK2.International journal of molecular sciences · 2021
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. [Long non-coding RNA and lymphoma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2017
    Article
  13. VEGFOncotarget · 2017
    Article
  14. Review
  15. 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

10 authors at 6 institutions in 2 countries.

Julien BroséusInserm U954, Faculty of Medicine, Nancy, France.
Gaili ChenZhongNan Hospital of Wuhan University, Wuhan, China.
Sébastien HergalantInserm U954, Faculty of Medicine, Nancy, France.
Gérard RamsteinLINA DUKe, UMR 6241, Université de Nantes, Nantes, France.
Nicolas MounierHemato-oncology, University Hospital of l'Archet, Nice, France.
Jean-Louis GuéantInserm U954, Faculty of Medicine, Nancy, France.
Pierre FeugierInserm U954, Faculty of Medicine, Nancy, France.
Christian GisselbrechtAPHP, Saint-Louis Hospital, Hemato-Oncology Department, Paris, France.
Catherine ThieblemontAPHP, Saint-Louis Hospital, Hemato-Oncology Department, Paris, France.
Rémi HoulgatteInserm U954, Faculty of Medicine, Nancy, France.
Inserm · FRAssistance Publique – Hôpitaux de Paris · FRDélégation Paris 7 · FRHôpital l'Archet · FRNantes Université · FRWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite major advances in first-line treatment, a significant proportion of patients with diffuse large B-cell lymphoma (DLBCL) will experience treatment failure. Prognosis is particularly poor for relapses occurring less than one year after the end of first-line treatment (early relapses/ER) compared to those occurring more than one year after (late relapses/LR). To better understand genomic alterations underlying the delay of relapse, we identified copy number variations (CNVs) on 39 tumor samples from a homogeneous series of patients included in the Collaborative Trial in Relapsed Aggressive Lymphoma (CORAL) prospective study. To identify CNVs associated with ER or LR, we devised an original method based on Significance Analysis of Microarrays, a permutation-based method which allows control of false positives due to multiple testing. Deletions of CDKN2A/B (28%) and IBTK (23%) were frequent events in relapsed DLBCLs. We identified 56 protein-coding genes and 25 long non-coding RNAs with significantly differential CNVs distribution between ER and LR DLBCLs, with a false discovery rate < 0.05. In ER DLBCLs, CNVs were related to transcription regulation, cell cycle and apoptosis, with duplications of histone H1T (31%), deletions of DIABLO (26%), PTMS (21%) and CK2B (15%). In LR DLBCLs, CNVs were related to immune response, with deletions of B2M (20%) and CD58 (10%), cell proliferation regulation, with duplications of HES1 (25%) and DVL3 (20%), and transcription regulation, with MTERF4 deletions (20%). This study provides new insights into the genetic aberrations in relapsed DLBCLs and suggest pathway-targeted therapies in ER and LR DLBCLs.

Indexed as

DNA Copy Number VariationsGene DosageOligonucleotide Array Sequence AnalysisTranscriptomeAdultAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansLymphoma, Large B-Cell, DiffuseMaleMiddle AgedPhenotypeBiomarkers, Tumorcopy number variationsdiffuse large B-cell lymphomaearly relapsegenomicslate relapse

Identifiers

PMID27276707
PMCPMC5356640
OpenAlexW2418770118

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.