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雌激素受体阳性乳腺癌潜在多靶点抑制剂的药物筛选。

Drug Screening of Potential Multiple Target Inhibitors for Estrogen Receptor-α-positive Breast Cancer.

机构信息

School of Pharmacy, China Medical University, Taichung, Taiwan, R.O.C.

Chinese Medicine Research and Development Center, Center for Molecular Medicine, China Medical University Hospital, China Medical University, Taichung, Taiwan, R.O.C.

出版信息

In Vivo. 2021 Mar-Apr;35(2):761-777. doi: 10.21873/invivo.12317.

Abstract

BACKGROUND/AIM: Estrogen receptor α (ERα) antagonist is the most common treatment for ERα-positive breast cancer. However, compensatory signaling contributes to resistance to ERα antagonists. Thus, to explore the potential agents for targeting compensatory signaling, we screened multiple target inhibitors for breast cancer treatment.

MATERIALS AND METHODS

We attempted to build a structure-based virtual screening model that can find potential compounds and assay the anticancer ability of these drugs by overall cell survival assay. The downstream compensatory phosphorylated signaling was measured by immunoblotting.

RESULTS

Hamamelitannin and glucocheirolin were hits for ERα, phosphoinositide 3-kinase (PI3K), and KRAS proto-oncogene, GTPase (KRAS), which were active against estrogen and epidermal growth factor-triggered proliferation. Additionally, we select aminopterin as a hit for ERα, PI3K, KRAS, and SRC proto-oncogene, non-receptor tyrosine kinase (SRC) with inhibitory activities toward AKT serine/threonine kinase 1 (AKT) and mitogen-activated protein kinase kinase (MEK) signaling.

CONCLUSION

Our structure-based virtual screening model selected hamamelitannin, glucocheirolin, aminopterin, and pemetrexed as compounds that may act as potential inhibitors for improving endocrine therapies for breast cancer.

摘要

背景/目的:雌激素受体 α(ERα)拮抗剂是治疗 ERα 阳性乳腺癌最常用的方法。然而,补偿性信号会导致对 ERα 拮抗剂的耐药性。因此,为了探索针对补偿性信号的潜在靶向药物,我们筛选了多种用于乳腺癌治疗的靶标抑制剂。

材料与方法

我们试图构建一个基于结构的虚拟筛选模型,该模型可以通过总细胞存活测定来寻找潜在的化合物,并测定这些药物的抗癌能力。通过免疫印迹法测定下游补偿性磷酸化信号。

结果

山萘酚和葡萄糖基橙皮苷是 ERα、磷酸肌醇 3-激酶(PI3K)和 KRAS 原癌基因,GTP 酶(KRAS)的有效抑制剂,对雌激素和表皮生长因子触发的增殖具有活性。此外,我们选择氨基喋呤作为 ERα、PI3K、KRAS 和 SRC 原癌基因,非受体酪氨酸激酶(SRC)的有效抑制剂,对丝氨酸/苏氨酸激酶 1(AKT)和丝裂原活化蛋白激酶激酶(MEK)信号具有抑制作用。

结论

我们基于结构的虚拟筛选模型选择山萘酚、葡萄糖基橙皮苷、氨基喋呤和培美曲塞作为可能的抑制剂,用于改善乳腺癌的内分泌治疗。

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