Evidence map›Paper›PMID 39393970›Full record

ArticleAmerican journal of surgery2025

The association of genetic testing timing and mutation type on breast cancer management in patients with breast cancer-related mutations.

Ebunoluwa J Olunuga, Samantha M Thomas, Koumani W Ntowe, Juliet C Dalton, Ton Wang, Akiko Chiba, Jennifer K Plichta

Abstract read
In one paragraph

Article in American journal of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Timing ofCancer control : journal of the Moffitt Cancer Center
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ebunoluwa J OlunugaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Samantha M ThomasDuke Cancer Institute, Duke University, Durham, NC, USA; Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Koumani W NtoweDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Juliet C DaltonDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Ton WangDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA.
Akiko ChibaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA.
Jennifer K PlichtaDepartment of Surgery, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA; Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA. Electronic address: jennifer.plichta@duke.edu.

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Building Interdisciplinary Research Careers in Women's Health (K12) - Administrative SupplementK12AR084231 · NIAMS · DUKE UNIVERSITY · PI Cindy Amundsen · 2023 to 2026
$2.5M
NCI NIH HHS P30 CA014236NIAMS NIH HHS K12 AR084231
6 · The paper itself

Abstract

backgroundWe aim to characterize breast management for patients with genetic mutations and concurrent breast cancer (BC) or prior BC treatment.

methodsAdults with a BC-related mutation and prior/concurrent BC diagnosis were identified. Groups were stratified by mutation type [BRCA1/2, high penetrance mutation (HPM), moderate penetrance mutation (MPM)] and timing of genetic testing (concurrent with BC versus after BC treatment). Outcomes were compared.

resultsAmong 338 patients included, 63 ​% had BRCA1/2 mutations, 9 ​% HPM, and 28 ​% MPM. Approximately 38 ​% had testing concurrent with a BC diagnosis and 62 ​% after BC treatment. Patients with concurrent testing favored bilateral mastectomy (57 ​%) versus 26 ​% lumpectomy, and 16 ​% unilateral mastectomy, which varied by mutation type. Patients previously treated preferred surveillance (92 ​% vs. 8 ​% additional surgery), regardless of mutation type.

conclusionThe timing of a significant BC-related genetic test result and mutation type may be associated with management decisions among patients with breast cancer.

Indexed as

Breast NeoplasmsGenetic TestingMutationAdultAgedFemaleGenes, BRCA1Genes, BRCA2HumansMastectomyMiddle AgedRetrospective StudiesTime FactorsBRCABreast cancerCancer geneticsMastectomyProphylactic mastectomyRisk reducing mastectomy

Identifiers

PMID39393970
PMCPMC11649441

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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.