Evidence map›Paper›PMID 25287991›Full record

ArticleLeukemia2015

Detailed analysis of therapy-driven clonal evolution of TP53 mutations in chronic lymphocytic leukemia.

J Malcikova, K Stano-Kozubik, B Tichy, B Kantorova, S Pavlova, N Tom, L Radova, J Smardova, F Pardy, M Doubek and 8 more

Abstract read
In one paragraph

Article in Leukemia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

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

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. The importance ofMolecular biology research communications · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. The Broad Spectrum ofHuman mutation · 2023
    Article
  17. Review
  18. Article
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

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.

J Malcikova1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
K Stano-KozubikCenter of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
B Tichy1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
B KantorovaCenter of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
S Pavlova1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
N Tom1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
L RadovaCenter of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
J SmardovaDepartment of Pathology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
F PardyCenter of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
M Doubek1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Y BrychtovaDepartment of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
M Mraz1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
K Plevova1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
E DiviskovaDepartment of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
A OltovaDepartment of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
J Mayer1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
S Pospisilova1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
M Trbusek1] Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [2] Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In chronic lymphocytic leukemia (CLL), the worst prognosis is associated with TP53 defects with the affected patients being potentially directed to alternative treatment. Therapy administration was shown to drive the selection of new TP53 mutations in CLL. Using ultra-deep next-generation sequencing (NGS), we performed a detailed analysis of TP53 mutations' clonal evolution. We retrospectively analyzed samples that were assessed as TP53-wild-type (wt) by FASAY from 20 patients with a new TP53 mutation detected in relapse and 40 patients remaining TP53-wt in relapse. Minor TP53-mutated subclones were disclosed in 18/20 patients experiencing later mutation selection, while only one minor-clone mutation was observed in those patients remaining TP53-wt (n=40). We documented that (i) minor TP53 mutations may be present before therapy and may occur in any relapse; (ii) the majority of TP53-mutated minor clones expand to dominant clone under the selective pressure of chemotherapy, while persistence of minor-clone mutations is rare; (iii) multiple minor-clone TP53 mutations are common and may simultaneously expand. In conclusion, patients with minor-clone TP53 mutations carry a high risk of mutation selection by therapy. Deep sequencing can shift TP53 mutation identification to a period before therapy administration, which might be of particular importance for clinical trials.

Indexed as

Gene Expression Regulation, LeukemicAdultAgedAntineoplastic AgentsB-LymphocytesClonal EvolutionClone CellsFemaleHigh-Throughput Nucleotide SequencingHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedMutationRecurrenceRetrospective StudiesAntineoplastic AgentsTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID25287991
PMCPMC4396398

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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.