| Title: |
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 |
| Authors: |
Komatsu, Nana; Chishima, Takashi; Watanabe, Chie; Taruno, Kanae; Inuzuka, Mayuko; Oshi, Masanori; Arai, Masami; Nakamura, Seigo |
| Publisher Information: |
Springer Science and Business Media LLC |
| Publication Year: |
2024 |
| Description: |
Purpose: With the increasing demand for BRCA genetic testing, most existing prediction models were developed using data from individuals of European descent. This study aimed to identify clinicopathological factors of hereditary breast and ovarian cancer (HBOC) syndrome and develop the first Japanese-specific prediction model for BRCA pathogenic variant carriers in Japan. Methods: We utilized data from 3,072 Japanese patients with breast cancer aggregated by the Japanese Organization of Hereditary Breast and Ovarian Cancer registry. Prediction models were developed using 70% of the overall dataset and validated using the remaining 30%. Factors associated with the BRCA pathogenic variant status were identified using logistic univariate analysis, and significant factors were further analyzed using logistic multivariate analysis to develop prediction models for BRCA1/2 ( BRCA 1 and/or BRCA2 ), BRCA1 , and BRCA2 pathogenic variants. Results: BRCA1 showed associations with aggressive clinicopathologicalfactors such as triple-negative breast cancer and nuclear grade 3. Moreover, the prediction model showed a high area under the curve (AUC) of 0.879. By contrast, BRCA2 exhibited fewer characteristic associated factors, and the AUC of the model was 0.669. Common factors shared by BRCA1/2 , BRCA1 , and BRCA2 were the age at diagnosis of breast cancer and the youngest age of relatives with breast cancer. Consistent with previous research, early-onset breast cancer appeared to be strongly associated with HBOC. Conclusion: We successfully developed prediction models for BRCA1/2 , BRCA1 , and BRCA2 pathogenic variants. By accurately stratifying patients’ risk and guiding targeted screening and preventative interventions, these models will contribute to improved management and outcomes of HBOC. |
| Document Type: |
other/unknown material |
| Language: |
unknown |
| DOI: |
10.21203/rs.3.rs-4478776/v1 |
| Availability: |
http://dx.doi.org/10.21203/rs.3.rs-4478776/v1; https://www.researchsquare.com/article/rs-4478776/v1; https://www.researchsquare.com/article/rs-4478776/v1.html |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.7A4BAE68 |
| Database: |
BASE |