在癌症中探索可用药物的标和炎症介导途径:孟德尔的随机化分析整合了转录组和蛋白组数据
Hao Pan1,2, Changqing Jing3,4
1Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Shandong University, No.324 Jingwu Road, Huaiyin District, Jinan, 250021, Shandong, People's Republic of China.
这项研究使用孟德尔随机化确定了乳腺癌和前列腺癌的五个可用药物的标. 发现六种炎症蛋白调解了这些点与癌症发展之间的联系.
科学领域:
- 基因组学和生物信息学
- 癌症生物学 癌症生物学
- 药理学 药理学是指药理学的学科.
背景情况:
- 癌症是一个重大的全球健康负担.
- 发现新的生物标志物和治疗点对于改善癌症诊断和治疗至关重要.
研究的目的:
- 通过使用综合遗传数据,识别多种癌症的可用药物标.
- 调查炎症因素在调解癌症途径中的作用.
- 评估已确定目标的药用潜力.
主要方法:
- 门德尔随机化 (MR) 分析整合表达量特征定位 (eQTL),蛋白质量特征定位 (pQTL) 和全基因组关联研究 (GWAS) 数据.
- 调解分析以确定炎症调解者.
- 全现象MR,药物预测和分子对接用于药用潜力的评估.
主要成果:
- 确定了五个可用药物的点:乳腺癌的CDKN1A,FES,PDIA3;前列腺癌的TP53,VAMP8.
- 六种炎症蛋白 (酶8,IL-1α,CXCL1,CCL23,TRAIL,IL-6) 被确定为潜在的媒介.
- 随后的分析证实了确定目标的制药潜力.
结论:
- 发现了五个可用药物的标,与乳腺癌和前列腺癌有因果关系.
- 六种炎症蛋白被确定为癌症途径的潜在调解者.
- 这些发现为癌症治疗策略提供了新的见解.
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