Evidence map›Paper›PMID 37352403›Full record

ReviewJournal of the National Cancer Institute2023

Emerging insights into ethnic-specific TP53 germline variants.

Nicholas W Fischer, Yu-Heng Vivian Ma, Jean Gariépy

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Genetic background shapes AI-predicted variant effects.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
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  9. Review
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  11. Therapy-relevantTherapeutic advances in medical oncology · 2024
    Article
  12. Detection of Tumor Suppressor Genes Rare Variants: Findings From Neuroblastoma Using Next-Generation Sequencing.Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
    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

3 authors at 1 institution in 1 country.

Nicholas W FischerPhysical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
Yu-Heng Vivian MaPhysical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.ORCID 0000-0002-5884-114X
Jean GariépyPhysical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.ORCID 0000-0003-2217-2981
Sunnybrook Health Science Centre · CA

Funding

CIHR 125862CIHR 148556
6 · The paper itself

Abstract

The recent expansion of human genomics repositories has facilitated the discovery of novel TP53 variants in populations of different ethnic origins. Interpreting TP53 variants is a major clinical challenge because they are functionally diverse, confer highly variable predisposition to cancer (including elusive low-penetrance alleles), and interact with genetic modifiers that alter tumor susceptibility. Here, we discuss how a cancer risk continuum may relate to germline TP53 mutations on the basis of our current review of genotype-phenotype studies and an integrative analysis combining functional and sequencing datasets. Our study reveals that each ancestry contains a distinct TP53 variant landscape defined by enriched ethnic-specific alleles. In particular, the discovery and characterization of suspected low-penetrance ethnic-specific variants with unique functional consequences, including P47S (African), G334R (Ashkenazi Jewish), and rs78378222 (Icelandic), may provide new insights in terms of managing cancer risk and the efficacy of therapy. Additionally, our analysis highlights infrequent variants linked to milder cancer phenotypes in various published reports that may be underdiagnosed and require further investigation, including D49H in East Asians and R181H in Europeans. Overall, the sequencing and projected functions of TP53 variants arising within ethnic populations and their interplay with modifiers, as well as the emergence of CRISPR screens and AI tools, are now rapidly improving our understanding of the cancer susceptibility spectrum, leading toward more accurate and personalized cancer risk assessments.

Indexed as

NeoplasmsTumor Suppressor Protein p53Genetic Predisposition to DiseaseGerm CellsGerm-Line MutationHumansTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID37352403
PMCPMC10560603
OpenAlexW4381737654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.