基于药物反应的精确治疗选择,用于抗他莫西芬的三重阳性乳腺癌
Vinod S Bisht1, Deepak Kumar2, Mohd Altaf Najar3
1Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Journal of proteomics
|September 19, 2024
概括
乳腺癌会对药物产生耐药性,从而降低治疗的有效性. 这项研究使用蛋白质组数据确定了西斯,多克索鲁比辛和氧化为有效的癌症特异性药物,用于对抗抗性乳腺癌细胞.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 药理学 药理学是指药理学的学科.
背景情况:
- 乳腺癌对药物的适应性导致获得的耐药性和减少的治疗反应.
- 针对癌症的特定疗法显示了晚期癌症治疗的潜力.
- 了解耐药性机制对于开发有效的乳腺癌疗法至关重要.
研究的目的:
- 为了在抗他莫西芬的MCF-7乳腺癌细胞中识别可用药物的标.
- 评估选择药物抑制剂对抗耐药和非耐药癌细胞的疗效.
- 在复杂的球形模型中验证已识别的药物的有效性.
主要方法:
- 获取的抗 tamoxifen 抗性 MCF-7 细胞的蛋白质体解构,以确定 150 个可用药物的标.
- 对28种药物抑制剂对非耐药 (NC) 和耐药细胞 (RC) 的增长抑制作用进行查.
- 使用依赖时间的细胞毒性和球形模型验证有效药物 (cisplatin,doxorubicin,hydroxychloroquine).
主要成果:
- 七种药物入围,其中锡斯普拉丁,多克索鲁比辛和氧化素显示出显著的细胞毒性作用.
- 在渐进型球形模型中,多克索鲁比辛,西斯普拉丁和基氨酸在RC和NC中都表现出相当大的增长抑制.
- 在回归球形模型中,西斯普拉丁显著抑制了RC和NC,而多克索鲁比辛和氧化主要抑制了RC.
结论:
- 蛋白质组数据分析可以指导选择癌症特异性治疗方法.
- 西斯,多克索鲁比辛和氧化被确定为有效的药物,用于向异质乳腺癌细胞群体,包括耐药的乳腺癌细胞群体.
- 这些已识别的药物对治疗耐药性乳腺癌具有前途,治疗反应得到改善.
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