ArticleJournal of human genetics2016
KOHBRA BRCA risk calculator (KOHCal): a model for predicting BRCA1 and BRCA2 mutations in Korean breast cancer patients.
Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 27 citations in OpenAlex.
- BRCA Testing in Asian Patients with Ovarian Cancer: Standard Clinical Practice or Mutation Prediction Model?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Comprehensive genomic profiling of breast cancer reveals mutational landscape and the PEEKABOO model: a population-specific assessment tool for predicting germline mutations.Journal of translational medicine · 2025Article
- Predicting the likelihood of carrying BRCA1 or BRCA2 pathogenic variants in high-risk Pakistani breast cancer patients.Breast cancer research and treatment · 2025Article
- Development of a novel prediction model for carriage of BRCA1/2 pathogenic variant in Japanese patients with breast cancer based on Japanese organization of hereditary breast and ovarian cancer registry data.Breast cancer research and treatment · 2025Article
- Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Evaluating ChatGPT as an adjunct for the multidisciplinary tumor board decision-making in primary breast cancer cases.Archives of gynecology and obstetrics · 2023Article
- Diverse genetic spectrum among patients who met the criteria of hereditary breast, ovarian and pancreatic cancer syndrome.Journal of gynecologic oncology · 2023Article
- Predicting the Likelihood of Carrying aJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022Article
- Hereditary breast and ovarian cancer (HBOC): review of its molecular characteristics, screening, treatment, and prognosis.Breast cancer (Tokyo, Japan) · 2021Review
- Using a Tailored Digital Health Intervention for Family Communication and Cascade Genetic Testing in Swiss and Korean Families With Hereditary Breast and Ovarian Cancer: Protocol for the DIALOGUE Study.JMIR research protocols · 2021Article
- Impact of proactive high-throughput functional assay data on BRCA1 variant interpretation in 3684 patients with breast or ovarian cancer.Journal of human genetics · 2020Article
- Spectrum and prevalence ofHereditary cancer in clinical practice · 2019Article
- Breast and ovarian cancer penetrance ofOncotarget · 2018Article
- Identification of large genomic rearrangement of BRCA1/2 in high risk patients in Korea.BMC medical genetics · 2017Article
- Evaluation of ChatGPT's Potential in Tailoring Gynecological Cancer Therapies.In vivo (Athens, Greece)Article
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Authors and funding
9 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The widely used Western BRCA mutation prediction models underestimated the risk of having a BRCA mutation in Korean breast cancer patients. This study aimed to identify predictive factors for BRCA1/2 mutations and to develop a Korean BRCA risk calculator. The model was constructed by logistic regression model, and it was based on the Korean Hereditary Breast Cancer study, in which 1669 female patients were enrolled between May 2007 and December 2010. A separate data set of 402 patients, who were enrolled from Jan 2011 to August 2012, was used to test the performance of our model. In total, 264 (15.8%) and 67 (16.7%) BRCA mutation carriers were identified in the model and validation set, respectively. Multivariate analysis showed that age at breast cancer diagnosis, bilateral breast cancer, triple-negative breast cancer (TNBC) and the number of relatives with breast or ovarian cancer within third-degree relatives were independent predictors of the BRCA mutation among familial breast cancer patients. An age <35 years at diagnosis, bilateral breast cancer, both breast and ovarian cancer and TNBC remained significant predictors in non-familial breast cancer cases. Our model was developed based on logistic regression models. The validation results showed no differences between the observed and expected carrier probabilities. This model will be a useful tool for providing genetic risk assessments in Korean populations.
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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.