Evidence map›Paper›PMID 17606709›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2007

Transcriptional functionality of germ line p53 mutants influences cancer phenotype.

Paola Monti, Yari Ciribilli, Jennifer Jordan, Paola Menichini, David M Umbach, Michael A Resnick, Lucio Luzzatto, Alberto Inga, Gilberto Fronza

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

33 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
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  5. Review
  6. Article
  7. Emerging insights into ethnic-specific TP53 germline variants.Journal of the National Cancer Institute · 2023
    Review
  8. Cancers · 2023
    Review
  9. Partial p53 reactivation is sufficient to induce cancer regression.Journal of experimental & clinical cancer research : CR · 2022
    Article
  10. Review
  11. Article
  12. A Protein in the YeastBiomolecules · 2020
    Article
  13. Heterogeneity ofFrontiers in oncology · 2020
    Review
  14. Genotype-phenotype associations among panel-based TP53+ subjects.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 2 countries.

Paola MontiMolecular Mutagenesis Unit, Department of Translational Oncology, National Cancer Research Institute, Genoa, Italy.
Yari Ciribilli
Jennifer Jordan
Paola Menichini
David M Umbach
Michael A Resnick
Lucio Luzzatto
Alberto Inga
Gilberto Fronza
National Institute of Environmental Health Sciences · USTumour Institute of Tuscany · IT

Funding

ISOLATION &CHARACTERIZATION OF GENES AFFECTING YEAST CHROMOSOME METABOLISMZ01ES065079 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RESNICK, MICHAEL A · 1994 to 2008
$1.8M
NIEHS STATISTICAL CONSULTING SERVICEZ01ES045005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 1997 to 2008
$741k
Intramural NIH HHS Z01 ES065079
6 · The paper itself

Abstract

purposeThe TP53 tumor suppressor gene encodes a sequence-specific transcription factor that is able to transactivate several sets of genes, the promoters of which include appropriate response elements. Although human cancers frequently contain mutated p53, the alleles as well as the clinical expression are often heterogeneous. Germ line mutations of TP53 result in cancer proneness syndromes known as Li-Fraumeni, Li-Fraumeni--like, and nonsyndromic predisposition with or without family history. p53 mutants can be classified as partial deficiency alleles or severe deficiency alleles depending on their ability to transactivate a set of human target sequences, as measured using a standardized yeast-based assay (see http://www.umd.be:2072/index.html). We have investigated the extent to which the functional features of p53 mutant alleles determine clinical features in patients who have inherited these alleles and have developed cancer. EXPERIMENTAL

designWe retrieved clinical data from the IARC database (see http://www.p53.iarc.fr/Germline.html) for all cancer patients with germ line p53 mutations and applied stringent statistical evaluations to compare the functional classification of p53 alleles with clinical phenotypes.

resultsOur analyses reveal that partial deficiency alleles are associated with a milder family history (P = 0.007), a lower numbers of tumors (P = 0.007), and a delayed disease onset (median, 31 versus 15 years; P = 0.007) which could be related to distinct tumor spectra.

conclusionsThese findings establish for the first time significant correlations between the residual transactivation function of individual TP53 alleles and clinical variables in patients with inherited p53 mutations who develop cancer.

Indexed as

Genes, p53Germ-Line MutationTranscriptional ActivationTranscription, GeneticAdolescentAdultAgedChildHumansMiddle AgedMutationNeoplasmsPhenotypePrecancerous ConditionsTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID17606709
PMCPMC2128783
OpenAlexW2165065353

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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.