博戈:一个全蛋白质基因过度表达平台,用于发现合理的癌症组合疗法
Kyeong Beom Jo1,2,3, Mohammed M Alruwaili3,4, Da-Eun Kim5
1Surgical and Interventional Sciences, Department of Surgery, McGill University, Montreal, Quebec, Canada.
bioRxiv : the preprint server for biology
|September 15, 2025
概括
一个新的查平台,BOGO,使基因过度表达能够识别癌症药物耐药性机制. 这导致了针对结直肠和胰腺癌的新型组合疗法,改善了治疗结果.
科学领域:
- 基因组学和蛋白质组学
- 癌症生物学 癌症生物学
- 药物发现 药物发现 药物发现
背景情况:
- 癌症抗药性是成功治疗的主要障碍,阻碍了精确瘤学.
- 预测药物反应和根据耐药机制确定有效的组合疗法是相当大的挑战.
- 一个全蛋白质组,单基因过度表达查平台对于指导合理的治疗策略至关重要.
研究的目的:
- 开发和验证BOGO (Bxb1-登陆台人类ORFeome集成系统用于全蛋白体基因过度表达),用于单基因过度表达查的可扩展平台.
- 识别与癌症扩散和抵抗相关的药物特异性反应驱动因素和预后基因.
- 通过了解化学抵抗和化学敏感化机制,发现新的,理性的组合疗法.
主要方法:
- 开发了BOGO,这是一个强大的平台,用于在癌细胞模型中对约19,000个人类基因的特定站点集成和过度表达.
- 进行全蛋白质组的过度表达查,以确定16种化疗剂的药物反应驱动因素.
- 整合临床数据集和分析药物反应相似性网络,以发现耐药性途径和基因.
- 提出并测试了一种BCL2抑制剂 (ABT-263) 和DNA模拟剂 (TAS-102) 的联合疗法.
主要成果:
- 确定了特定药物反应驱动因素和与增殖和耐药性相关的预后基因.
- 发现了共同和独特的抵抗机制,突出了自,亡和Wnt信号传递等途径.
- 发现 lysosomal调制是DNA模拟抗性的关键,其中BCL2,POLD2和TRADD是显著的抗性基因.
- ABT-263和TAS-102在结直肠和胰腺癌细胞中的协同细胞毒性已被证明in vitro和治疗效益in vivo在CDX和PDX模型中.
结论:
- 博戈 (BOGO) 是一个强大的平台,可以系统地识别化学抵抗和化学敏感性的驱动因素.
- 该研究确定了一种新型协同效应的组合疗法,具有治疗结直肠和胰腺癌的潜力.
- 博戈的可扩展性和可重复性使其成为功能基因组学和超越癌症耐药性的治疗发现的宝贵工具.
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