ArticleThe breast journal2020
Update on multi-gene panel testing and communication of genetic test results.
Article in The breast journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- Adapting mainstreaming genetic education and clinical communication materials for cancer patients of varying backgrounds.Patient education and counseling · 2026Article
- Advances in Hereditary Colorectal Cancer: How Precision Medicine Is Changing the Game.Cancers · 2025Review
- Germline variants detected by multigene panel testing in patients with suspected hereditary breast cancer.Surgery today · 2025Article
- Understanding how gene-disease relationships can impact clinical utility: adaptations and challenges in hereditary cancer testing.Genome medicine · 2025Article
- Exploring Therapeutic Challenges in Patients with HER2-Positive Breast Cancer-A Single-Center Experience.Life (Basel, Switzerland) · 2024Article
- Determination of genetic predisposition to early breast cancer in women of Kazakh ethnicity.Oncotarget · 2023Article
- Pathogenic germline variants in patients with breast cancer: conversations across generations, practices and patients' attitude.Frontiers in genetics · 2023Article
- Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.Frontiers in genetics · 2023Article
- Women's thoughts on receiving and sharing genetic information: Considerations for genetic counseling.Journal of genetic counseling · 2022Article
- Experiences of individuals with a variant of uncertain significance on genetic testing for hereditary cancer risks: a mixed method systematic review.Journal of community genetics · 2022Review
- Spectrum and management of breast cancer patients with variant of uncertain significance mutations at a tertiary care centre in North India.Ecancermedicalscience · 2022Article
- Fetal nuchal edema and developmental anomalies caused by gene mutations in mice.Frontiers in cell and developmental biology · 2022Review
- Framework for Implementing and Tracking a Molecular Tumor Board at a National Cancer Institute-Designated Comprehensive Cancer Center.The oncologist · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
With technological advances, multi-gene panel testing has become increasingly used to identify patients at risk for hereditary breast cancer (HBC). There are currently evidence-based interventions and breast cancer screening strategies that exist for cancer prevention and early detection among patients with HBC. Moreover, in addition to the personal impact of identifying HBC, this information may be shared with at-risk family members to amplify the benefits of testing and subsequent care among those at high risk. Opportunities and challenges with the utilization of updated multi-gene panel testing for HBC, including: (a) tumor sequencing with germline consequences; (b) genetic counseling implications; and (c) strategies to improve the communication of genetic test results to family members will be reviewed. With the advances and expansion of genetic testing, all health care providers need to be updated on both the importance and complexities of HBC counseling and testing, in order to optimize patient care.
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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.