Evidence map›Paper›PMID 25527155›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

TP53 mutation analysis in chronic lymphocytic leukemia: comparison of different detection methods.

Barbara Kantorova, Jitka Malcikova, Jana Smardova, Sarka Pavlova, Martin Trbusek, Nikola Tom, Karla Plevova, Boris Tichy, Sim Truong, Eva Diviskova and 7 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Guideline
  2. Haematologica · 2018
    Review
  3. Article
  4. Review
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

17 authors at 3 institutions in 1 country.

Barbara KantorovaCentral European Institute of Technology (CEITEC), Masaryk University Brno, Kamenice 5, CZ-625 00, Brno, Czech Republic.
Jitka Malcikova
Jana Smardova
Sarka Pavlova
Martin Trbusek
Nikola Tom
Karla Plevova
Boris Tichy
Sim Truong
Eva Diviskova
Jana Kotaskova
Alexandra Oltova
Nancy Patten
Yvona Brychtova
Michael Doubek
Jiri Mayer
Sarka Pospisilova
University Hospital Brno · CZCentral European Institute of Technology – Masaryk University · CZCentral European Institute of Technology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TP53 gene defects represent a strong adverse prognostic factor for patient survival and treatment resistance in chronic lymphocytic leukemia (CLL). Although various methods for TP53 mutation analysis have been reported, none of them allow the identification of all occurring sequence variants, and the most suitable methodology is still being discussed. The aim of this study was to determine the limitations of commonly used methods for TP53 mutation examination in CLL and propose an optimal approach for their detection. We examined 182 CLL patients enriched for high-risk cases using denaturing high-performance liquid chromatography (DHPLC), functional analysis of separated alleles in yeast (FASAY), and the AmpliChip p53 Research Test in parallel. The presence of T53 gene mutations was also evaluated using ultra-deep next generation sequencing (NGS) in 69 patients. In total, 79 TP53 mutations in 57 (31 %) patients were found; among them, missense substitutions predominated (68 % of detected mutations). Comparing the efficacy of the methods used, DHPLC and FASAY both combined with direct Sanger sequencing achieved the best results, identifying 95 % and 93 % of TP53-mutated patients. Nevertheless, we showed that in CLL patients carrying low-proportion TP53 mutation, the more sensitive approach, e.g., ultra-deep NGS, might be more appropriate. TP53 gene analysis using DHPLC or FASAY is a suitable approach for mutation detection. Ultra-deep NGS has the potential to overcome shortcomings of methods currently used, allows the detection of minor proportion mutations, and represents thus a promising methodology for near future.

Indexed as

Genes, p53MutationAdultAgedChromatography, High Pressure LiquidFemaleHigh-Throughput Nucleotide SequencingHumansIn Situ Hybridization, FluorescenceLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedOligonucleotide Array Sequence AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID25527155
OpenAlexW2043511687

What OpenQuestion holds

Textmetadata
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.