Komatsu Nana, Chishima Takashi, Watanabe Chie, Taruno Kanae, Inuzuka Mayuko, Oshi Masanori, Arai Masami, Nakamura Seigo
Department of Breast Surgery, Showa University Northern Yokohama Hospital, 35-1 Chigasaki-Chuo, Tsuduki, Yokohama, Kanagawa, 224-8503, Japan.
Division of Breast Surgical Oncology, Department of Surgery, Showa University School of Medicine, Shinagawa, Tokyo, Japan.
Breast Cancer Res Treat. 2025 Jan;209(1):177-188. doi: 10.1007/s10549-024-07485-6. Epub 2024 Oct 2.
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.
We utilized data from 3072 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 (BRCA1 and/or BRCA2), BRCA1, and BRCA2 pathogenic variants.
BRCA1 showed associations with aggressive clinicopathological factors 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.
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.
随着对BRCA基因检测需求的增加,大多数现有的预测模型是使用欧洲血统个体的数据开发的。本研究旨在确定遗传性乳腺癌和卵巢癌(HBOC)综合征的临床病理因素,并开发首个针对日本BRCA致病变异携带者的日本特异性预测模型。
我们利用了日本遗传性乳腺癌和卵巢癌登记组织汇总的3072例日本乳腺癌患者的数据。使用全部数据集的70%开发预测模型,并使用其余30%进行验证。通过逻辑单变量分析确定与BRCA致病变异状态相关的因素,并使用逻辑多变量分析进一步分析显著因素,以开发BRCA1/2(BRCA1和/或BRCA2)、BRCA1和BRCA2致病变异的预测模型。
BRCA1与三阴性乳腺癌和核分级3等侵袭性临床病理因素相关。此外,预测模型显示曲线下面积(AUC)高达0.879。相比之下,BRCA2表现出较少的特征相关因素,模型的AUC为0.669。BRCA1/2、BRCA1和BRCA2共有的常见因素是乳腺癌诊断时的年龄和患乳腺癌亲属的最年轻年龄。与先前的研究一致,早发性乳腺癌似乎与HBOC密切相关。
我们成功开发了BRCA1/2、BRCA1和BRCA2致病变异的预测模型。通过准确分层患者风险并指导靶向筛查和预防性干预,这些模型将有助于改善HBOC的管理和治疗效果。