Evidence map›Paper›PMID 38755420›Full record

ReviewLeukemia2024

ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-2024 update.

Jitka Malcikova, Sarka Pavlova, Panagiotis Baliakas, Thomas Chatzikonstantinou, Eugen Tausch, Mark Catherwood, Davide Rossi, Thierry Soussi, Boris Tichy, Arnon P Kater and 8 more

Abstract readReview
In one paragraph

Review in Leukemia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. ComplexInternational journal of molecular sciences · 2026
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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.

Jitka Malcikova *Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic.ORCID 0000-0003-3650-6698
Sarka Pavlova *Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic.ORCID 0000-0003-1528-9743
Panagiotis BaliakasDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-5634-7156
Thomas ChatzikonstantinouInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.ORCID 0000-0003-4105-1253
Eugen TauschDivision of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany.
Mark CatherwoodHaematology Department, Belfast Health and Social Care Trust, Belfast, United Kingdom.
Davide RossiHematology, Oncology Institute of Southern Switzerland and Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland.
Thierry SoussiDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-8184-3293
Boris TichyCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Arnon P KaterDepartment of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands.ORCID 0000-0003-3190-1891
Carsten U NiemannDepartment of Hematology, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-9880-5242
Frederic DaviSorbonne Université, Paris, France.
Gianluca GaidanoDivision of Haematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.ORCID 0000-0002-4681-0151
Stephan StilgenbauerDivision of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany.ORCID 0000-0002-6830-9296
Richard RosenquistDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0211-8788
Kostas StamatopoulosInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.ORCID 0000-0001-8529-640X
Paolo GhiaUniversità Vita-Salute San Raffaele, Milan, Italy. ghia.paolo@hsr.it.ORCID 0000-0003-3750-7342
Sarka PospisilovaDepartment of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic. sarka.pospisilova@ceitec.muni.cz.ORCID 0000-0001-7136-2680

Funding

Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic) FNBr 65269705
6 · The paper itself

Abstract

In chronic lymphocytic leukemia (CLL), analysis of TP53 aberrations (deletion and/or mutation) is a crucial part of treatment decision-making algorithms. Technological and treatment advances have resulted in the need for an update of the last recommendations for TP53 analysis in CLL, published by ERIC, the European Research Initiative on CLL, in 2018. Based on the current knowledge of the relevance of low-burden TP53-mutated clones, a specific variant allele frequency (VAF) cut-off for reporting TP53 mutations is no longer recommended, but instead, the need for thorough method validation by the reporting laboratory is emphasized. The result of TP53 analyses should always be interpreted within the context of available laboratory and clinical information, treatment indication, and therapeutic options. Methodological aspects of introducing next-generation sequencing (NGS) in routine practice are discussed with a focus on reliable detection of low-burden clones. Furthermore, potential interpretation challenges are presented, and a simplified algorithm for the classification of TP53 variants in CLL is provided, representing a consensus based on previously published guidelines. Finally, the reporting requirements are highlighted, including a template for clinical reports of TP53 aberrations. These recommendations are intended to assist diagnosticians in the correct assessment of TP53 mutation status, but also physicians in the appropriate understanding of the lab reports, thus decreasing the risk of misinterpretation and incorrect management of patients in routine practice whilst also leading to improved stratification of patients with CLL in clinical trials.

Indexed as

High-Throughput Nucleotide SequencingLeukemia, Lymphocytic, Chronic, B-CellMutationTumor Suppressor Protein p53DNA Mutational AnalysisHumansTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID38755420
PMCPMC11217004

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.