Evidence map›Paper›PMID 27503997›Full record

ReviewCold Spring Harbor perspectives in medicine2016

Somatic TP53 Mutations in the Era of Genome Sequencing.

Pierre Hainaut, Gerd P Pfeifer

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing 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

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

  1. Targeting p53 pathways: mechanisms, structures, and advances in therapy.Signal transduction and targeted therapy · 2023
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92 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

2 authors.

Pierre HainautUniversity Grenoble Alpes, Institut Albert Bonniot, Institut National de la Santé et de la Recherche Médicale (INSERM), 823 Grenoble, France.
Gerd P PfeiferCenter for Epigenetics, Van Andel Research Institute, Grand Rapids, Michigan 49503.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid the complexity of genetic alterations in human cancer, TP53 mutation appears as an almost invariant component, representing by far the most frequent genetic alteration overall. Compared with previous targeted sequencing studies, recent integrated genomics studies offer a less biased view of TP53 mutation patterns, revealing that >20% of mutations occur outside the DNA-binding domain. Among the 12 mutations representing each at least 1% of all mutations, five occur at residues directly involved in specific DNA binding, four affect the tertiary fold of the DNA-binding domain, and three are nonsense mutations, two of them in the carboxyl terminus. Significant mutations also occur in introns, affecting alternative splicing events or generating rearrangements (e.g., in intron 1 in sporadic osteosarcoma). In aggressive cancers, mutation is so common that it may not have prognostic value (all these cancers have impaired p53 function caused by mutation or by other mechanisms). In several other cancers, however, mutation makes a clear difference for prognostication, as, for example, in HER2-enriched breast cancers and in lung adenocarcinoma with EGFR mutations. Thus, the clinical significance of TP53 mutation is dependent on tumor subtype and context. Understanding the clinical impact of mutation will require integrating mutation-specific information (type, frequency, and predicted impact) with data on haplotypes and on loss of heterozygosity.

Indexed as

Gene Expression Regulation, NeoplasticGenes, p53MutationCarcinogensDNA Mutational AnalysisHumansNeoplasmsPrognosisTumor Suppressor Protein p53CarcinogensTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID27503997
PMCPMC5088513

What OpenQuestion holds

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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.