Department of Surgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
In Vivo. 2019 Nov-Dec;33(6):2133-2139. doi: 10.21873/invivo.11714.
BACKGROUND/AIM: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors.
A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT.
Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing.
Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer.
背景/目的：多基因分析检测为预测乳腺癌的预后提供了有力证据。本研究旨在评估 BCT 评分与各种预后因素的临床验证。
共分析了 133 例激素受体阳性、cT1N0 乳腺癌患者。采用 BCT 评分（低，n=105；高，n=28）进行风险分层，分析 Ki67 指数、p53 突变、免疫组织化学 4（IHC4）评分、诺丁汉预后指数（NPI）和在线 PREDICT。
Ki67 指数和 NPI 与基于 BCT 评分的风险分层密切相关。尽管 IHC4 评分和在线 PREDICT 与 BCT 评分无相关性，但随着总生存时间的延长，在线 PREDICT 结果有明显的相关性趋势。
基于 BCT 评分的风险分类可能作为激素受体阳性、HER2 阴性、早期乳腺癌的预后标志物具有临床意义。
