Evidence map›Paper›PMID 37861889›Full record

ArticleBreast cancer research and treatment2024

Hereditary cancer testing in a diverse sample across three breast imaging centers.

Laura Westbrook, Darlene Miltenburg, Vivienne Souter, Melissa K Maisenbacher, Katherine L Howard, Youbao Sha, Maygol Yavari, Nicholas Kypraios, Angel Rodriguez, Jeffrey N Weitzel

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Laura WestbrookNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Darlene MiltenburgThe Breast Health Institute of Houston, Houston, TX, 77054, USA.
Vivienne SouterNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Melissa K MaisenbacherNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Katherine L HowardNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Youbao ShaNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Maygol YavariNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Nicholas KypraiosNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Angel RodriguezNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA.
Jeffrey N WeitzelNatera, Inc., 13011 McCallen Pass, Austin, TX, 78753, USA. jweitzel@natera.com.ORCID http://orcid.org/0000-0001-6714-092X
Natera (United States) · USHouston Fertility Institute · USThe University of Kansas Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUp to 10% of all breast cancers (BC) are attributed to inherited pathogenic variants (PV) in BC susceptibility genes; however, most carriers of PVs remain unidentified. Here, we sought to determine the yield of hereditary cancer gene PVs among diverse women attending breast imaging centers, who could benefit from enhanced surveillance and/or risk reduction interventions.

methodsThis cross-sectional retrospective cohort study included consecutive women, unselected for personal or family cancer history, who were offered genetic testing for hereditary cancer genes at the time of breast imaging at three centers (November 2020-March 2022).

resultsAmong 1943 patients (median age: 66 years), self-reported race/ethnicity was White (34.5%), Hispanic (27.7%), African American (17.9%), Asian (4.5%), Ashkenazi Jewish (0.6%), Other (3.5%), and missing (13.0%). Thirty-nine patients (2%) were identified as carriers of a PV in an autosomal dominant clinically actionable hereditary breast and ovarian cancer (HBOC)-related or Lynch syndrome gene, most frequently, BRCA2 (6/39; 15.4%), PALB2 (8/39; 20.5%), CHEK2 (10/39; 25.6%), and PMS2 (5/39; 12.8%). Of the 34 PVs with known race/ethnicity, 47% were detected among non-White patients. Overall, 354/1,943 (18.2%) of patients met NCCN guidelines for HBOC gene testing and only 15/39 (38.5%) patients with an autosomal dominant clinically actionable PV met guidelines.

conclusionThis population health approach extended the reach of genetic cancer risk assessment in a diverse population and highlighted the limits of a guideline-based approach. This may help address inequity in access to risk-appropriate screening and cancer prevention.

Indexed as

Breast NeoplasmsAgedCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenetic TestingHumansRetrospective StudiesBreast cancerCancer risk assessmentGenetic testingHereditary cancer genesPathogenic variants

Identifiers

PMID37861889
PMCPMC10787882
OpenAlexW4387798714

What OpenQuestion holds

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LicenceCC BY
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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.