Evidence map›Paper›PMID 19188678›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2009

Prediction of BRCA Mutations Using the BRCAPRO Model in Clinic-Based African American, Hispanic, and Other Minority Families in the United States.

Dezheng Huo, Ruby T Senie, Mary Daly, Saundra S Buys, Shelly Cummings, Jacqueline Ogutha, Kisha Hope, Olufunmilayo I Olopade

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 47 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. Review
  3. Article
  4. Article
  5. Equity in Genomic Medicine.Annual review of genomics and human genetics · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Intensive Surveillance with Biannual Dynamic Contrast-Enhanced Magnetic Resonance Imaging Downstages Breast Cancer inClinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Observational
  10. Review
  11. Article
  12. Article
  13. Characterization ofF1000Research · 2017
    Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Dezheng HuoCenter for Clinical Cancer Genetics and Global Health, Department of Medicine, Section of Hematology/Oncology, University of Chicago, 5841 S Maryland Ave, MC 2115, Chicago, IL 60637, USA.
Ruby T Senie
Mary Daly
Saundra S Buys
Shelly Cummings
Jacqueline Ogutha
Kisha Hope
Olufunmilayo I Olopade
Fox Chase Cancer Center · US

Funding

Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
METROPOLITAN NEW YORK REGISTRY OF BREAST CANCER FAMILIESU01CA069398 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI TERRY, MARY BETH · 1995 to 2010
$10.5M
Philadelphia Breast Cancer Family RegistryU01CA069631 · NCI · FOX CHASE CANCER CENTER · PI DALY, MARY BERYL · 1995 to 2010
$7.4M
Utah Breast Cancer Family RegistryU01CA069446 · NCI · UNIVERSITY OF UTAH · PI BUYS, SAUNDRA S · 1995 to 2010
$4.6M
Genetics of Breast Cancer in BlacksR01CA089085 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F. · 2002 to 2006
$2.8M
NCI NIH HHS CA-RO1 89085-01ANCI NIH HHS P50 CA125183NCI NIH HHS RFA-CA-06-503NCI NIH HHS U01 CA69398NCI NIH HHS U01 CA69446NCI NIH HHS U01 CA69631
6 · The paper itself

Abstract

purposeBRCAPRO, a BRCA mutation carrier prediction model, was developed on the basis of studies in individuals of Ashkenazi Jewish and European ancestry. We evaluated the performance of the BRCAPRO model among clinic-based minority families. We also assessed the clinical utility of mutation status of probands (the first individual tested in a family) in the recommendation of BRCA mutation testing for other at-risk family members. PATIENTS AND

methodsA total of 292 minority families with at least one member who was tested for BRCA mutations were identified through the Breast Cancer Family Registry and the University of Chicago. Using the BRCAPRO model, the predicted likelihood of carrying BRCA mutations was generated. Area under the receiver operating characteristic curves (AUCs) were calculated.

resultsThere were 104 African American, 130 Hispanic, 37 Asian-American, and 21 other minority families. The AUC was 0.748 (95% CI, 0.672 to 0.823) for all minorities combined. There was a statistically nonsignificant trend for BRCAPRO to perform better in Hispanic families than in other minority families. After taking into account the mutation status of probands, BRCAPRO performance in additional tested family members was improved: the AUC increased from 0.760 to 0.902.

conclusionThe findings support the use of BRCAPRO in pretest BRCA mutation prediction among minority families in clinical settings, but there is room for improvement in ethnic groups other than Hispanics. Knowledge of the mutation status of the proband provides additional predictive value, which may guide genetic counselors in recommending BRCA testing of additional relatives when a proband has tested negative.

Indexed as

Genes, BRCA1Genes, BRCA2MutationAdultAgedBlack or African AmericanBreast NeoplasmsFemaleHispanic or LatinoHumansMiddle AgedMinority GroupsOvariectomy

Identifiers

PMID19188678
PMCPMC2667822
OpenAlexW2138479537

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.