ArticleFamilial cancer2021
Frequency and spectrum of mutations across 94 cancer predisposition genes in African American women with invasive breast cancer.
Article in Familial cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Universal Genetic Counseling and Testing for Black Women: A Risk-Stratified Approach to Addressing Breast Cancer Disparities.Clinical breast cancer · 2025Review
- Reclassification of variants of uncertain significance by race, ethnicity, and ancestry for patients at risk for breast cancer.Frontiers in oncology · 2025Article
- Targeted gene panel sequencing of liquid and tissue biopsies reveals actionable genomic alterations in Ghanaian metastatic breast cancer cases.Translational oncology · 2024Article
- Disparate Rates of Germline Variants in Cancer Predisposition Genes in African American/Black Compared With Non-Hispanic White Individuals Between 2015 and 2022.JCO precision oncology · 2024Article
- Gynecologic Care of Black Breast Cancer Survivors.Current breast cancer reports · 2024Article
- Genomic Justice as Reproductive Justice: Universal Coverage for Preimplantation Genetic Testing for Hereditary Breast and Ovarian Cancer Syndrome.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
African American women are at increased risk of being diagnosed at a young age and/or with triple negative breast cancer, both factors which are included in current guidelines for identifying women who may benefit from genetic testing. Commercial breast cancer predisposition genetic panels, based largely on data derived from women of European ancestry, may not capture the full spectrum of cancer predisposition genes associated with breast cancer in African American women. Between 2001 and 2018, 488 unselected African American women with invasive breast cancer enrolled in the Clinical Breast Care Project. National Comprehensive Cancer Network (NCCN) Hereditary Cancer testing criteria version 1.2020 were applied to determine genetic risk. Targeted sequencing was performed using the TruSight Cancer panel and variants classified using the ClinVar database. Using NCCN criteria, 64.1% of African American women would be eligible for genetic testing. Fifty pathogenic or likely pathogenic mutations were detected in 19 genes with the highest frequencies in BRCA2 (29.4%) and BRCA1 (15.7%). Mutation frequencies in test-eligible and test-ineligible women were 13.1% and 3.5%, respectively. One-third of women harbored variants that could not be classified. While these data do not suggest a need to expand current commercial gene panels, NCCN criteria would fail to identify 12.5% of African American women with mutations in hereditary cancer predisposing genes.
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Identifiers
What OpenQuestion holds
Registered trials
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.