Evidence map›Paper›PMID 40250028›Full record

ArticleGynecologic oncology2025

TP53 somatic evolution in the normal endometrium of Black and White individuals.

Eric Rios-Doria, Elizabeth U Parker, Brendan F Kohrn, Mindy Pike, Coohleen Coombes, Elena Latorre-Esteves, Daniel J Reiter, Jeanne Fredrickson, Ronit Katz, Elizabeth M Swisher and 2 more

Abstract read
In one paragraph

Article in Gynecologic oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Eric Rios-DoriaDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States.
Elizabeth U ParkerDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Brendan F KohrnDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Mindy PikeDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States.
Coohleen CoombesDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Elena Latorre-EstevesDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Daniel J ReiterDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Jeanne FredricksonDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.
Ronit KatzDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States.
Elizabeth M SwisherDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States.
Kemi M DollDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States.
Rosa Ana RisquesDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States. Electronic address: rrisques@uw.edu.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
TRAINING IN CANCER BIOLOGY &TRANSPLANTATIONT32CA009515 · NCI · UNIVERSITY OF WASHINGTON · PI NANCY ELLEN DAVIDSON, Effie W Petersdorf · 1985 to 2026
$16.2M
Understanding the role of TP53 mutation in genetic susceptibility to ovarian cancerR01CA259384 · NCI · UNIVERSITY OF WASHINGTON · PI RISQUES, ROSA ANA · 2021 to 2025
$2.8M
NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA259384NCI NIH HHS T32 CA009515
6 · The paper itself

Abstract

backgroundTP53 mutations are the main drivers of aggressive, high-risk endometrial carcinomas commonly diagnosed in Black individuals. However, TP53 mutations have also been identified in benign, non-cancerous tissues. We sought to understand the TP53 mutational landscape in benign endometrium throughout the lifespan of Black and White individuals, accounting for structural socioeconomic context.

methodsUltra-sensitive TP53 mutation detection was performed with high-depth duplex sequencing (∼13,000×) in DNA extracted from histologically normal endometrium collected at autopsy (69 % of cases) or surgery (31 % of cases) from 83 individuals ages 0 to 81 (31 Black and 52 White, median age 35 years) without endometrial cancer. Histologically normal endometrium was also collected from 10 White individuals with endometrial cancer.

resultsWe identified 266 coding TP53 mutations in the normal endometrium of individuals without endometrial cancer, 57 % of which were pathogenic. The number, pathogenicity, and size of TP53 mutant clones in normal endometrium increased with age. Multivariable models showed no significant association between race or socioeconomic metrics and TP53 mutation frequency in normal endometrium. An exploratory analysis on the histologically normal endometrium of White individuals with endometrial cancer identified the tumor mutations at low levels in the normal biopsy of 5 out of 6 cases.

conclusionsOur study revealed prevalent TP53 somatic evolution in benign endometrium across human lifespan and no racial differences in this cohort of predominantly younger individuals. Future studies should consider the analysis of larger cohorts with older individuals to detect potential effects of racial disparities on TP53 somatic evolution later in life.

Indexed as

Black or African AmericanEndometrial NeoplasmsEndometriumTumor Suppressor Protein p53WhiteAdolescentAdultAgedAged, 80 and overChildFemaleHumansInfantInfant, NewbornMiddle AgedMutationTP53 protein, humanTumor Suppressor Protein p53Clonal evolutionClonal expansionsEndometrial cancerRacial disparitiesSomatic evolutionTP53

Identifiers

PMID40250028
PMCPMC13383288

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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.