Evidence map›Paper›PMID 41022739›Full record

ArticleNature communications2025

TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.

Nicholas W Fischer, Noel Ong, Brianne Laverty, Pamela Psarianos, Camilla Giovino, Noa Alon, Emilie Montellier, Pierre Hainaut, Kara N Maxwell, Christian P Kratz and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Nicholas W FischerProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada. nick.w.fischer@gmail.com.ORCID http://orcid.org/0000-0003-4672-0532
Noel OngProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada.
Brianne LavertyProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada.ORCID http://orcid.org/0000-0002-7245-0831
Pamela PsarianosProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada.
Camilla GiovinoProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada.
Noa AlonProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada.
Emilie MontellierInstitute for Advanced Biosciences, Université Grenoble Alpes, Grenoble, France.ORCID http://orcid.org/0000-0001-5069-3536
Pierre HainautInstitute for Advanced Biosciences, Université Grenoble Alpes, Grenoble, France.ORCID http://orcid.org/0000-0002-1303-1610
Kara N MaxwellDivision of Hematology-Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8192-4202
Christian P KratzPediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0003-4120-5873
Ran KafriDepartment of Molecular Genetics, University of Toronto, Toronto, Canada.
David MalkinProgram in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada. david.malkin@sickkids.ca.ORCID http://orcid.org/0000-0001-5752-9763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Li-Fraumeni syndrome (LFS) has recently been redefined as a 'spectrum' cancer predisposition disorder to reflect its broad phenotypic heterogeneity. This variability is thought to stem in part from the diverse functional impacts of TP53 variants, although the underlying mechanisms remain poorly understood and there is an unmet clinical need for effective risk stratification. Here, we apply unsupervised clustering to functional datasets and identify distinct TP53 variant groups with clinical relevance, including a monomeric subgroup enriched in osteosarcoma cases. In cellular validation assays, dermal fibroblasts from carriers of more functionally impaired variants exhibit increased metabolic growth rates, mirroring trends observed in cluster-stratified clinical outcomes. These findings demonstrate the feasibility of developing diagnostic assays to guide personalized cancer risk assessment. More broadly, our results show that nuances in TP53 dysfunction shape the germline TP53-related cancer susceptibility spectrum and provide a framework for functionally delineating variant carriers.

Indexed as

Bone NeoplasmsGerm-Line MutationLi-Fraumeni SyndromeOsteosarcomaTumor Suppressor Protein p53AdultCluster AnalysisFemaleFibroblastsGenetic Predisposition to DiseaseHeterozygoteHumansMalePhenotypeTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID41022739
PMCPMC12480935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.