Evidence map›Paper›PMID 25040820›Full record

ArticleBrain pathology (Zurich, Switzerland)2015

Revisiting TP53 Mutations and Immunohistochemistry--A Comparative Study in 157 Diffuse Gliomas.

Hirokazu Takami, Akihiko Yoshida, Shintaro Fukushima, Hideyuki Arita, Yuko Matsushita, Taishi Nakamura, Makoto Ohno, Yasuji Miyakita, Soichiro Shibui, Yoshitaka Narita and 1 more

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In one paragraph

Article in Brain pathology (Zurich, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 citations in OpenAlex.

  1. Molecular Biomarker Testing for the Diagnosis of Diffuse Gliomas.Archives of pathology & laboratory medicine · 2022
    Guideline
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  5. Review
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  12. IDH mutant high-grade gliomas.Frontiers in molecular neuroscience · 2025
    Review
  13. DKK3 Expression in Glioblastoma: Correlations with Biomolecular Markers.International journal of molecular sciences · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

6 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

11 authors at 4 institutions in 1 country.

Hirokazu TakamiDivision of Brain Tumor Translational Research, National Cancer Center Research Institute, Tokyo, Japan; Department of Neurosurgery, University of Tokyo, Tokyo, Japan.
Akihiko Yoshida
Shintaro Fukushima
Hideyuki Arita
Yuko Matsushita
Taishi Nakamura
Makoto Ohno
Yasuji Miyakita
Soichiro Shibui
Yoshitaka Narita
Koichi Ichimura
National Cancer Center Hospital East · JPOsaka University · JPThe University of Tokyo · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between p53 immunohistochemistry and TP53 mutation status has been controversial. The present study aims to re-evaluate the efficacy of p53 immunohistochemistry to predict the mutational status of TP53. A total of 157 diffuse gliomas (World Health Organization grades II-IV) were assessed by exon-by-exon DNA sequencing from exon 4 through 10 of TP53 using frozen tissue samples. Immunohistochemistry with a p53 antibody (DO-7) on paired formalin-fixed paraffin-embedded materials was assessed for the extent and intensity of reactivity in all cases. A total of 72 mutations were detected in 66 samples. They included 60 missense mutations, five nonsense mutations, four deletions and three alterations in the splicing sites. A receiver operating characteristic curve analysis revealed that strong p53 immunoreactivity in more than 10% of cells provided the most accurate prediction of mutation. Using this cutoff value, 52 of 55 immunopositive cases harbored a mutation, whereas only 14 of 102 immunonegative cases showed mutations, sensitivity and specificity being 78.8% and 96.7%. Tumors with frameshift mutations frequently showed negative immunostaining. Staining interpretation by an independent observer yielded comparable accuracy. We thus propose p53 immunohistochemistry as a moderately sensitive and highly specific marker to predict TP53 mutation.

Indexed as

Brain NeoplasmsGliomaBrainDNA Mutational AnalysisExonsFemaleHumansImmunohistochemistryMaleMutationROC CurveStatistics as TopicTumor Suppressor Protein p53Tumor Suppressor Protein p53astrocytomaglioblastomaimmunohistochemistryp53Sanger sequence

Identifiers

PMID25040820
PMCPMC8028857
OpenAlexW1793758766

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.