Evidence map›Paper›PMID 19336551›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2009

Performance of prediction models for BRCA mutation carriage in three racial/ethnic groups: findings from the Northern California Breast Cancer Family Registry.

Allison W Kurian, Gail D Gong, Esther M John, Alexander Miron, Anna Felberg, Amanda I Phipps, Dee W West, Alice S Whittemore

Open access · bronzeAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 74 citations in OpenAlex.

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  3. DNA damage targeted therapy for advanced breast cancer.Exploration of targeted anti-tumor therapy · 2024
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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

8 authors at 3 institutions in 2 countries.

Allison W KurianStanford University School of Medicine, Department of Health Research and Policy, Stanford, CA 94305-5405, USA.
Gail D Gong
Esther M John
Alexander Miron
Anna Felberg
Amanda I Phipps
Dee W West
Alice S Whittemore
Stanford University · USCancer Prevention Institute of California · USDana-Farber Cancer Institute · US

Funding

Northern California Cooperative Family Registry for Breast CancerU01CA069417 · NCI · NORTHERN CALIFORNIA CANCER CENTER · PI JOHN, ESTHER M. · 1995 to 2010
$22.4M
Statistical Methods for Genetic EpidemiologyR01CA094069 · NCI · STANFORD UNIVERSITY · PI WHITTEMORE, ALICE · 2002 to 2016
$7.7M
Targeted Prodrug Therapy of Liver CancersR01CA095003 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI KUO, MACUS T · 2002 to 2005
$1.1M
NCI NIH HHS CA94069NCI NIH HHS CA-95-003NCI NIH HHS R01 CA094069NCI NIH HHS U01 CA069417NCI NIH HHS U01 CA69417
6 · The paper itself

Abstract

purposePatients with early-onset breast and/or ovarian cancer frequently wish to know if they inherited a mutation in one of the cancer susceptibility genes, BRCA1 or BRCA2. Accurate carrier prediction models are needed to target costly testing. Two widely used models, BRCAPRO and BOADICEA, were developed using data from non-Hispanic Whites (NHW), but their accuracies have not been evaluated in other racial/ethnic populations.

methodsWe evaluated the BRCAPRO and BOADICEA models in a population-based series of African American, Hispanic, and NHW breast cancer patients tested for BRCA1 and BRCA2 mutations. We assessed model calibration by evaluating observed versus predicted mutations and attribute diagrams, and model discrimination using areas under the receiver operating characteristic curves.

resultsBoth models were well-calibrated within each racial/ethnic group, with some exceptions. BOADICEA overpredicted mutations in African Americans and older NHWs, and BRCAPRO underpredicted in Hispanics. In all racial/ethnic groups, the models overpredicted in cases whose personal and family histories indicated >80% probability of carriage. The two models showed similar discrimination in each racial/ethnic group, discriminating least well in Hispanics. For example, BRCAPRO's areas under the receiver operating characteristic curves were 83% (95% confidence interval, 63-93%) for NHWs, compared with 74% (59-85%) for African Americans and 58% (45-70%) for Hispanics.

conclusionsThe poor performance of the model for Hispanics may be due to model misspecification in this racial/ethnic group. However, it may also reflect racial/ethnic differences in the distributions of personal and family histories among breast cancer cases in the Northern California population.

Indexed as

Genes, BRCA1Genes, BRCA2Models, StatisticalAdultAgedBlack or African AmericanBreast NeoplasmsCaliforniaEthnicityFemaleHispanic or LatinoHumansMiddle AgedMutationPrognosisRegistries

Identifiers

PMID19336551
PMCPMC2706699
OpenAlexW2097037017

What OpenQuestion holds

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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.