Evidence map›Paper›PMID 40696762›Full record

ArticleHGG advances2025

Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53.

Cristina Fortuno, Marcy E Richardson, Tina Pesaran, Kelly McGoldrick, Paul A James, Amanda B Spurdle

Abstract read
In one paragraph

Article in HGG advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Cristina FortunoPopulation Health Program, QIMR Berghofer, Herston, QLD 4006, Australia.
Marcy E RichardsonAmbry Genetics, Aliso Viejo, CA, USA.
Tina PesaranAmbry Genetics, Aliso Viejo, CA, USA.
Kelly McGoldrickAmbry Genetics, Aliso Viejo, CA, USA.
Paul A JamesParkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.
Amanda B SpurdlePopulation Health Program, QIMR Berghofer, Herston, QLD 4006, Australia; Faculty of Medicine, The University of Queensland, Brisbane, QLD 4006, Australia. Electronic address: amanda.spurdle@qimrb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease-causing variants with penetrance that is lower than the average expected for a given gene complicate classification, even when using gene-specific guidelines. For TP53, a gene associated with some of the highest cancer risks, even reduced penetrance disease-predisposition variants remain clinically actionable. We conducted a review of ClinVar submissions to identify TP53 variants flagged as having reduced penetrance by genetic testing laboratories and analyzed functional, bioinformatic, immunogenicity, frequency, and clinical features of these variants compared with standard pathogenic and benign variants. Our findings show that reported reduced penetrance TP53 variants are more likely to exhibit intermediate functional activity in multiple assays and are predicted as deleterious with bioinformatic tools, though with lower scores than pathogenic variants. These variants also have a higher population frequency than pathogenic variants, and heterozygotes tend to manifest disease later in life, suggesting a need for refined clinical criteria to better capture attenuated Li-Fraumeni syndrome phenotypes. Finally, by applying a random forest prediction model to all TP53 uncertain or conflicting variants in ClinVar, we identified 106 additional variants with potential reduced penetrance.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationNeoplasmsPenetranceTumor Suppressor Protein p53Computational BiologyGenetic TestingHumansTP53 protein, humanTumor Suppressor Protein p53ACMGbioinformaticsClinGenfunctional assaysLi-Fraumeni syndromepenetrancerandom effects modelreduced penetranceTP53variant classification

Identifiers

PMID40696762
PMCPMC12337872

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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.