Evidence map›Paper›PMID 35286522›Full record

ArticleBreast cancer research and treatment2022

Differences in somatic TP53 mutation type in breast tumors by race and receptor status.

Nijole C Pollock, Johnny R Ramroop, Heather Hampel, Melissa A Troester, Kathleen Conway, Jennifer J Hu, Jo L Freudenheim, Olufunmilayo I Olopade, Dezheng Huo, Elad Ziv and 4 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Postpartum breast cancer: evidence for a distinct phenotype.Journal of the National Cancer Institute · 2026
    Article
  3. Review
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  5. Article
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  7. Association ofmedRxiv : the preprint server for health sciences · 2023
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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

14 authors at 9 institutions in 1 country.

Nijole C PollockDepartment of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA.
Johnny R RamroopDepartment of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA.
Heather HampelOSU Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Melissa A TroesterDepartment of Epidemiology and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kathleen ConwayDepartment of Epidemiology and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jennifer J HuDepartment of Public Health Sciences, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, USA.
Jo L FreudenheimDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Olufunmilayo I OlopadeSection of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
Dezheng HuoDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Elad ZivHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
Susan L NeuhausenDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.
Patrick StevensBioinformatics Shared Resource, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Joseph Paul McElroyCenter for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Amanda Ewart TolandDepartment of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA. Amanda.toland@osumc.edu.ORCID http://orcid.org/0000-0002-0271-1792
The Ohio State University · USThe Ohio State University Wexner Medical Center · USUniversity of North Carolina at Chapel Hill · USChicago Department of Public Health · USCity of Hope · USUniversity at Buffalo, State University of New York · USUniversity of California, San Francisco · USUniversity of Chicago · USUniversity of Miami · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Germline and Tumor Genomic Analyses of Breast Cancer in LatinasR01CA184585 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NEUHAUSEN, SUSAN L., ZIV, ELAD · 2014 to 2018
$4.2M
UChicago Interdisciplinary Cancer Health Disparities SPOREP20CA233307 · NCI · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG · 2018 to 2020
$3.4M
Etiology and Genomics of Breast Cancer Progression in Women of African AncestryR01MD013452 · NIMHD · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG, OLOPADE, OLUFUNMILAYO F. · 2019 to 2023
$2.8M
Impact of germline variants on racial and ethnic differences in somatic mutation frequencyR01CA215151 · NCI · OHIO STATE UNIVERSITY · PI TOLAND, AMANDA EWART · 2018 to 2022
$1.8M
Foundation for the National Institutes of Health CA58223Foundation for the National Institutes of Health R01 MD01352NCI NIH HHS P20 CA233307NCI NIH HHS P30 CA016058NCI NIH HHS P30 CA033572NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA184585NCI NIH HHS R01 CA215151NIEHS NIH HHS P30 ES010126NIMHD NIH HHS R01 MD013452
6 · The paper itself

Abstract

purposeSomatic driver mutations in TP53 are associated with triple-negative breast cancer (TNBC) and poorer outcomes. Breast cancers in women of African ancestry (AA) are more likely to be TNBC and have somatic TP53 mutations than cancers in non-Hispanic White (NHW) women. Missense driver mutations in TP53 have varied functional impact including loss-of-function (LOF) or gain-of-function (GOF) activity, and dominant negative (DNE) effects. We aimed to determine if there were differences in somatic TP53 mutation types by patient ancestry or TNBC status.

methodsWe identified breast cancer datasets with somatic TP53 mutation data, ancestry, age, and hormone receptor status. Mutations were classified for functional impact using published data and type of mutation. We assessed differences using Fisher's exact test.

resultsFrom 96 breast cancer studies, we identified 2964 women with somatic TP53 mutations: 715 (24.1%) Asian, 258 (8.7%) AA, 1931 (65.2%) NHW, and 60 (2%) Latina. The distribution of TP53 mutation type was similar by ancestry. However, 35.8% of tumors from NHW individuals had GOF mutations compared to 29% from AA individuals (p = 0.04). Mutations with DNE activity were positively associated with TNBC (OR 1.37, p = 0.03) and estrogen receptor (ER) negative status (OR 1.38; p = 0.005).

conclusionsSomatic TP53 mutation types did not differ by ancestry overall, but GOF mutations were more common in NHW women than AA women. ER-negative and TNBC tumors are less likely to have DNE+ TP53 mutations which could reflect biological processes. Larger cohorts and functional studies are needed to further elucidate these findings.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsAsian PeopleBlack PeopleFemaleHispanic or LatinoHumansMutationTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53Breast cancerDominant negativeGain-of-functionLoss-of-functionRacial differencesTP53

Identifiers

PMID35286522
PMCPMC8960361
OpenAlexW4220736052

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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.