Evidence map›Paper›PMID 34675373›Full record

ArticleLeukemia2022

Genomic abnormalities of TP53 define distinct risk groups of paediatric B-cell non-Hodgkin lymphoma.

Alexander M Newman, Masood Zaka, Peixun Zhou, Alex E Blain, Amy Erhorn, Amy Barnard, Rachel E Crossland, Sarah Wilkinson, Amir Enshaei, Julian De Zordi and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. A genetic profiling guideline to support diagnosis and clinical management of lymphomas.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Guideline
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Multi-Modal Deep Learning-Based Model to Predict Burkitt Lymphoma Recurrence.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Haematologica · 2024
    Article
  14. Review
  15. Diagnostic and prognostic molecular pathology of lymphoid malignancies.Virchows Archiv : an international journal of pathology · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

20 authors at 5 institutions in 2 countries.

Alexander M NewmanSchool of Health & Life Sciences, Teesside University, Middlesbrough, UK.
Masood ZakaSchool of Health & Life Sciences, Teesside University, Middlesbrough, UK.
Peixun ZhouSchool of Health & Life Sciences, Teesside University, Middlesbrough, UK.
Alex E BlainWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0001-8045-822X
Amy ErhornWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Amy BarnardWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Rachel E CrosslandWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Sarah WilkinsonWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Amir EnshaeiWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Julian De ZordiWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Fiona HardingNewcastle Genetics Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Mary TajDepartment of Paediatric Oncology, Royal Marsden Hospital, Sutton, Surrey, UK.
Katrina M WoodDepartment of Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Despina TelevantouDepartment of Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Suzanne D TurnerDivision of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.ORCID http://orcid.org/0000-0002-8439-4507
G A Amos BurkeDepartment of Paediatric Haematology, Oncology and Palliative Care, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID http://orcid.org/0000-0003-2671-9972
Christine J HarrisonWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Simon BomkenWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Chris M BaconWolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Vikki RandSchool of Health & Life Sciences, Teesside University, Middlesbrough, UK. v.rand@tees.ac.uk.ORCID http://orcid.org/0000-0002-2198-8949
Newcastle University · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBCambridge University Hospitals NHS Foundation Trust · GBRoyal Marsden NHS Foundation Trust · GBUniversity of Cambridge · GB

Funding

Department of HealthMedical Research Council MR/S021590/1
6 · The paper itself

Abstract

Children with B-cell non-Hodgkin lymphoma (B-NHL) have an excellent chance of survival, however, current clinical risk stratification places as many as half of patients in a high-risk group receiving very intensive chemo-immunotherapy. TP53 alterations are associated with adverse outcome in many malignancies; however, whilst common in paediatric B-NHL, their utility as a risk classifier is unknown. We evaluated the clinical significance of TP53 abnormalities (mutations, deletion and/or copy number neutral loss of heterozygosity) in a large UK paediatric B-NHL cohort and determined their impact on survival. TP53 abnormalities were present in 54.7% of cases and were independently associated with a significantly inferior survival compared to those without a TP53 abnormality (PFS 70.0% vs 100%, p < 0.001, OS 78.0% vs 100%, p = 0.002). Moreover, amongst patients clinically defined as high-risk (stage III with high LDH or stage IV), those without a TP53 abnormality have superior survival compared to those with TP53 abnormalities (PFS 100% vs 55.6%, p = 0.005, OS 100% vs 66.7%, p = 0.019). Biallelic TP53 abnormalities were either maintained from the presentation or acquired at progression in all paired diagnosis/progression Burkitt lymphoma cases. TP53 abnormalities thus define clinical risk groups within paediatric B-NHL and offer a novel molecular risk stratifier, allowing more personalised treatment protocols.

Indexed as

AdolescentChildChild, PreschoolDisease ProgressionFemaleGene DosageGenetic LociHumansInfantLymphoma, B-CellMaleMutationTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID34675373
PMCPMC8885412
OpenAlexW3205039056

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.