Evidence map›Paper›PMID 18779604›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2008

Performance of BRCA1/2 mutation prediction models in Asian Americans.

Allison W Kurian, Gail D Gong, Nicolette M Chun, Meredith A Mills, Ashley D Staton, Kerry E Kingham, Beth B Crawford, Robin Lee, Salina Chan, Susan S Donlon and 5 more

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 67 citations in OpenAlex.

  1. Performance of prediction models for BRCA mutation carriage in three racial/ethnic groups: findings from the Northern California Breast Cancer Family Registry.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009
    Trial
  2. Article
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  5. Chinese American and Non-Hispanic White Breast Cancer Patients' Knowledge and Use of BRCA Testing.International journal of environmental research and public health · 2023
    Article
  6. Article
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  8. Predicting the Likelihood of Carrying aJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  9. Genes · 2022
    Article
  10. BRCA and Breast Cancer-Related High-Penetrance Genes.Advances in experimental medicine and biology · 2021
    Review
  11. Risks of Second Primary Gynecologic Cancers following Ovarian Cancer Treatment in Asian Ethnic Subgroups in the United States, 2000-2016.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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  17. Racial/ethnic differences in multiple-gene sequencing results for hereditary cancer risk.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
  18. Inherited mutations inJournal of medical genetics · 2018
    Article
  19. Rapid detection ofOncotarget · 2018
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 2 countries.

Allison W KurianDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305-5405, USA. akurian@stanford.edu
Gail D Gong
Nicolette M Chun
Meredith A Mills
Ashley D Staton
Kerry E Kingham
Beth B Crawford
Robin Lee
Salina Chan
Susan S Donlon
Yolanda Ridge
Karen Panabaker
Dee W West
Alice S Whittemore
James M Ford
Stanford University · USBC Cancer Agency · CA

Funding

Mentoring &Interdisciplinary Research in Women's HealthK12HD043452 · NICHD · STANFORD UNIVERSITY · PI BEREK, JONATHAN S · 2002 to 2006
$2.5M
NICHD NIH HHS K12 HD043452
6 · The paper itself

Abstract

purposeThere are established differences in breast cancer epidemiology between Asian and white individuals, but little is known about hereditary breast cancer in Asian populations. Although increasing numbers of Asian individuals are clinically tested for BRCA1/2 mutations, it is not known whether computer models that predict mutations work accurately in Asian individuals. We compared the performance in Asian and white individuals of two widely used BRCA1/2 mutation prediction models, BRCAPRO and Myriad II. PATIENTS AND

methodsWe evaluated BRCAPRO and Myriad II in 200 Asian individuals and a matched control group of 200 white individuals who were tested for BRCA1/2 mutations at four cancer genetics clinics, by comparing numbers of observed versus predicted mutation carriers and by evaluating area under the receiver operating characteristic curve (AUC) for each model.

resultsBRCAPRO and Myriad II accurately predicted the number of white BRCA1/2 mutation carriers (25 observed v 24 predicted by BRCAPRO; 25 predicted by Myriad II, P > or = .69), but underpredicted Asian carriers by two-fold (49 observed v 25 predicted by BRCAPRO; 26 predicted by Myriad II; P < or = 3 x 10(-7)). For BRCAPRO, this racial difference reflects substantial underprediction of Asian BRCA2 mutation carriers (26 observed v 4 predicted; P = 1 x 10(-30)); for Myriad II, separate mutation predictions were not available. For both models, AUCs were nonsignificantly lower in Asian than white individuals, suggesting less accurate discrimination between Asian carriers and noncarriers.

conclusionBoth BRCAPRO and Myriad II underestimated the proportion of BRCA1/2 mutation carriers, and discriminated carriers from noncarriers less well, in Asian compared with white individuals.

Indexed as

Genes, BRCA1Genes, BRCA2AsianBreast NeoplasmsComputer SimulationFemaleHeterozygoteHumansMutationPredictive Value of Tests

Identifiers

PMID18779604
PMCPMC2653135
OpenAlexW2098251455

What OpenQuestion holds

Textmetadata
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.