Evidence map›Paper›PMID 33257846›Full record

ArticleCell death and differentiation2021

Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.

Flora Doffe, Vincent Carbonnier, Manon Tissier, Bernard Leroy, Isabelle Martins, Johanna S M Mattsson, Patrick Micke, Sarka Pavlova, Sarka Pospisilova, Jana Smardova and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Cell death and differentiation, 2021. 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
2.6field-weighted citation impact, top 8% 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, 50 citations in OpenAlex.

  1. Article
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  5. Genetic background shapes AI-predicted variant effects.bioRxiv : the preprint server for biology · 2026
    Article
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  10. Review
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  17. Emerging insights into ethnic-specific TP53 germline variants.Journal of the National Cancer Institute · 2023
    Review
  18. NAR cancer · 2023
    Article
  19. Article
  20. Article
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

14 authors at 9 institutions in 5 countries.

Flora DoffeEquipe Labellisée par la Ligue Contre le Cancer, Université Paris Descartes, Université Sorbonne Paris Cité, Université Paris Diderot, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France.
Vincent CarbonnierEquipe Labellisée par la Ligue Contre le Cancer, Université Paris Descartes, Université Sorbonne Paris Cité, Université Paris Diderot, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France.
Manon TissierEquipe Labellisée par la Ligue Contre le Cancer, Université Paris Descartes, Université Sorbonne Paris Cité, Université Paris Diderot, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France.
Bernard LeroyDepartment of Life Science, Sorbonne Université, Paris, France.
Isabelle MartinsEquipe Labellisée par la Ligue Contre le Cancer, Université Paris Descartes, Université Sorbonne Paris Cité, Université Paris Diderot, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France.
Johanna S M MattssonDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Patrick MickeDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Sarka PavlovaDepartment of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Sarka PospisilovaDepartment of Internal Medicine-Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Jana SmardovaFaculty of Science, Department of Experimental Biology, Masaryk University, Brno, Czech Republic.
Andreas C JoergerInstitute of Pharmaceutical Chemistry, Johann Wolfgang Goethe University, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.
Klas G WimanDepartment of Oncology-Pathology, Bioclinicum, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7113-524X
Guido KroemerEquipe Labellisée par la Ligue Contre le Cancer, Université Paris Descartes, Université Sorbonne Paris Cité, Université Paris Diderot, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France.
Thierry SoussiEquipe Labellisée par la Ligue Contre le Cancer, Université Paris Descartes, Université Sorbonne Paris Cité, Université Paris Diderot, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France. thierry.soussi@sorbonne-universite.fr.ORCID http://orcid.org/0000-0001-8184-3293
Inserm · FRCentral European Institute of Technology · CZUppsala University · SEDélégation Paris 5 · FRGoethe University Frankfurt · DEKarolinska Institutet · SEKarolinska University Hospital · SEMasaryk University · CZSorbonne Université · FR

Funding

Radiumhemmets Forskningsfonder (Cancer Research Foundations of Radiumhemmet)Radiumhemmets Forskningsfonder (Cancer Research Foundations of Radiumhemmet) -
6 · The paper itself

Abstract

Infrequent and rare genetic variants in the human population vastly outnumber common ones. Although they may contribute significantly to the genetic basis of a disease, these seldom-encountered variants may also be miss-identified as pathogenic if no correct references are available. Somatic and germline TP53 variants are associated with multiple neoplastic diseases, and thus have come to serve as a paradigm for genetic analyses in this setting. We searched 14 independent, globally distributed datasets and recovered TP53 SNPs from 202,767 cancer-free individuals. In our analyses, 19 new missense TP53 SNPs, including five novel variants specific to the Asian population, were recurrently identified in multiple datasets. Using a combination of in silico, functional, structural, and genetic approaches, we showed that none of these variants displayed loss of function compared to the normal TP53 gene. In addition, classification using ACMG criteria suggested that they are all benign. Considered together, our data reveal that the TP53 coding region shows far more polymorphism than previously thought and present high ethnic diversity. They furthermore underline the importance of correctly assessing novel variants in all variant-calling pipelines associated with genetic diagnoses for cancer.

Indexed as

Genes, p53HumansMutation, MissenseNeoplasmsPolymorphism, Single NucleotideTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID33257846
PMCPMC8166836
OpenAlexW3108268157

What OpenQuestion holds

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LicenceCC BY
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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.