Evidence map›Paper›PMID 34737209›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study.

Amber N Hurson, Mustapha Abubakar, Alina M Hamilton, Kathleen Conway, Katherine A Hoadley, Michael I Love, Andrew F Olshan, Charles M Perou, Montserrat Garcia-Closas, Melissa A Troester

Open access · hybridAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Associations of Immune Checkpoint Predictive Biomarkers (MHC-I and MHC-II) with Clinical and Molecular Features in a Diverse Breast Cancer Cohort.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  7. Article
  8. Article
  9. RNA-Based Classification of Homologous Recombination Deficiency in Racially Diverse Patients with Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    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

10 authors at 2 institutions in 1 country.

Amber N HursonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-7831-6660
Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.
Alina M HamiltonDepartment of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, North Carolina.
Kathleen ConwayDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Katherine A HoadleyLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0002-1216-477X
Michael I LoveDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-8401-0545
Andrew F OlshanDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Charles M PerouDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-9827-2247
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.ORCID 0000-0003-1033-2650
Melissa A TroesterDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. troester@unc.edu.
University of North Carolina at Chapel Hill · USCancer Genetics (United States) · US

Funding

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
Targeting the MEKK2-ERK5 Signaling Node in Triple Negative Breast CancerU54CA156733 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, H. SHELTON · 2010 to 2020
$9.7M
STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
P53, DNA Repair Imbalance, and Immune Response in Breast Cancer Mortality DisparitiesR01CA253450 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY, Melissa A. Troester · 2021 to 2026
$3.6M
Biology of Race and Progression Associated Breast Tumor Gene ExpressionU01CA179715 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, TROESTER, MELISSA A. · 2014 to 2018
$1.6M
Impact of the Breast Cancer Immune Microenvironment on Racial Disparities and SurvivorshipF31CA257388 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAMILTON, ALINA MARIE · 2021 to 2022
$44k
Intramural NIH HHS Z01 CP010119Intramural NIH HHS Z99 CA999999NCI NIH HHS F31 CA257388NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA253450NCI NIH HHS T32 CA057726NCI NIH HHS U01 CA179715NCI NIH HHS U54 CA156733NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundTP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER subtypes, associations by TP53 status have been inconsistent.

methodsThis case-case analysis included incident breast cancer cases (47% Black) from the Carolina Breast Cancer Study (1993-2013). Formalin-fixed paraffin-embedded tumor samples were classified for TP53 functional status (mutant-like/wild-type-like) using a validated RNA signature. For IHC-based TP53 status, mutant-like was classified as at least 10% positivity. We used two-stage polytomous logistic regression to evaluate risk factor heterogeneity due to RNA-based TP53 and/or ER, adjusting for each other and for PR, HER2, and grade. We then compared this with the results when using IHC-based TP53 classification.

resultsThe RNA-based classifier identified 55% of tumors as TP53 wild-type-like and 45% as mutant-like. Several hormone-related factors (oral contraceptive use, menopausal status, age at menopause, and pre- and postmenopausal body mass index) were associated with TP53 mutant-like status, whereas reproductive factors (age at first birth and parity) and smoking were associated with ER status. Multiparity was associated with both TP53 and ER. When classifying TP53 status using IHC methods, no associations were observed with TP53. Associations observed with RNA-based TP53 remained after accounting for basal-like subtype.

conclusionsThis case-case study found breast cancer risk factors associated with RNA-based TP53 and ER. IMPACT: RNA-based TP53 and ER represent an emerging etiologic schema of interest in breast cancer prevention research.

Indexed as

AdultAgedBody Mass IndexBreast NeoplasmsFemaleHumansIncidenceMiddle AgedNorth CarolinaParityReceptors, EstrogenReproductive HistoryRisk FactorsSignal TransductionTumor Suppressor Protein p53Receptors, EstrogenTumor Suppressor Protein p53

Identifiers

PMID34737209
PMCPMC8755611
OpenAlexW3208522648

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.