Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon 21983, Republic of Korea.
Molecules. 2022 Nov 17;27(22):7974. doi: 10.3390/molecules27227974.
Triple-negative breast cancer (TNBC) is defined as a kind of breast cancer that lacks estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptors (HER2). This cancer accounts for 10-15% of all breast cancers and has the features of high invasiveness and metastatic potential. The treatment regimens are still lacking and need to develop novel inhibitors for therapeutic strategies. Three-dimensional quantitative structure-activity relationship (3D-QSAR) analyses, based on a series of forty-seven thieno-pyrimidine derivatives, were performed to identify the key structural features for the inhibitory biological activities. The established comparative molecular field analysis (CoMFA) presented a leave-one-out cross-validated correlation coefficient q of 0.818 and a determination coefficient r of 0.917. In comparative molecular similarity indices analysis (CoMSIA), a q of 0.801 and an r of 0.897 were exhibited. The predictive capability of these models was confirmed by using external validation and was further validated by the progressive scrambling stability test. From these results of validation, the models were determined to be statistically reliable and robust. This study could provide valuable information for further optimization and design of novel inhibitors against metastatic breast cancer.
三阴性乳腺癌(TNBC)被定义为一种缺乏雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体 2(HER2)的乳腺癌。这种癌症占所有乳腺癌的 10-15%,具有高侵袭性和转移性的特点。治疗方案仍然缺乏,需要开发新型抑制剂用于治疗策略。对一系列 47 种噻吩嘧啶衍生物进行了三维定量构效关系(3D-QSAR)分析,以确定抑制生物活性的关键结构特征。建立的比较分子场分析(CoMFA)显示出 0.818 的交叉验证相关系数 q 和 0.917 的确定系数 r。在比较分子相似性指数分析(CoMSIA)中,q 值为 0.801,r 值为 0.897。通过外部验证和逐步随机稳定性测试进一步验证了这些模型的预测能力。通过这些验证结果,可以确定模型在统计学上是可靠和稳健的。本研究可为进一步优化和设计新型转移性乳腺癌抑制剂提供有价值的信息。