A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.
A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.
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具有药物组学数据分析功能的肿瘤精准医学综合工具。
DOI：
10.3389/fphar.2023.1085765
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发表时间：
2023
影响因子：
5.6
通讯作者：
中科院分区：
文献类型：
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作者：
背景资料：癌症精准医疗是一种有效的对抗癌症的策略，通过连接基因组学和药物发现，为具有不同遗传特征的患者提供特异性治疗。虽然通过对药物反应的研究开发了一些公共数据库和建模框架，但其中大多数只考虑了药物对细胞系的影响，对患者的影响仍然需要大量的工作来整合来自各种数据库和计算的数据，特别是关于精确治疗的数据。此外，在癌症治疗过程中，不仅要考虑药物的疗效，还要考虑药物对患者的不良反应。然而，不良反应作为药物安全性评价的重要指标却一直被忽视。 方法：整体评估通过计算药物在逆转和增强癌症相关基因表达变化方面的效力来探索各种药物的疗效水平。一种弥合细胞培养和活组织之间差距的方法，通过根据基因突变相似性将各种细胞系映射到每个人，来估计药物对个体患者的有效性。 结果：综合考虑疗效和毒性，对FDA推荐药物的疗效进行了预测，得到了一致的结果。我们还提供了一个直观易用的Web服务器DBPOM（http：//www.dbpom.net/，一个用于癌症精准医学的药物组学综合数据库），它不仅集成了上述方法，还提供了超过10，000种小分子化合物和药物的计算结果。作为一站式网络服务器，临床医生和药物研究人员还可以分析药物或药物组合对癌症患者的整体影响以及它们所针对的生物功能。DBPOM现在是公开的，免费使用，无需登录，并包含所有的数据和代码。 结论：药物在精准治疗中的正、负效应对药物的实际应用至关重要。基于这两种效应的DBPOM将成为药物开发、药物机制研究和新疗法发现的重要资源和分析平台。
Background: Cancer precision medicine is an effective strategy to fight cancers by bridging genomics and drug discovery to provide specific treatment for patients with different genetic characteristics. Although some public databases and modelling frameworks have been developed through studies on drug response, most of them only considered the ramifications of the drug on the cell line and the effects on the patient still require a huge amount of work to integrate data from various databases and calculations, especially concerning precision treatment. Furthermore, not only efficacy but also the adverse effects of drugs on patients should be taken into account during cancer treatment. However, the adverse effects as essential indicators of drug safety assessment are always neglected. Method: A holistic estimation explores various drugs’ efficacy levels by calculating their potency both in reversing and enhancing cancer-associated gene expression change. And a method for bridging the gap between cell culture and living tissue estimates the effectiveness of a drug on individual patients through the mappings of various cell lines to each person according to their genetic mutation similarities. Result: We predicted the efficacy of FDA-recommended drugs, taking into account both efficacy and toxicity, and obtained consistent results. We also provided an intuitive and easy-to-use web server called DBPOM (http://www.dbpom.net/, a comprehensive database of pharmaco-omics for cancer precision medicine), which not only integrates the above methods but also provides calculation results on more than 10,000 small molecule compounds and drugs. As a one-stop web server, clinicians and drug researchers can also analyze the overall effect of a drug or a drug combination on cancer patients as well as the biological functions that they target. DBPOM is now public, free to use with no login requirement, and contains all the data and code. Conclusion: Both the positive and negative effects of drugs during precision treatment are essential for practical application of drugs. DBPOM based on the two effects will become a vital resource and analysis platform for drug development, drug mechanism studies and the discovery of new therapies.
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影响因子：
13.8
作者：
Wu Z;Lawrence PJ;Ma A;Zhu J;Xu D;Ma Q
通讯作者：
Ma Q
影响因子：
11.5
作者：
Luke, Jason J.;Hodi, F. Stephen
通讯作者：
Hodi, F. Stephen
影响因子：
30.8
作者：
Weinstein, John N.;Collisson, Eric A.;Mills, Gordon B.;Shaw, Kenna R. Mills;Ozenberger, Brad A.;Ellrott, Kyle;Shmulevich, Ilya;Sander, Chris;Stuart, Joshua M.
通讯作者：
Stuart, Joshua M.
DOI：
10.1093/jnci/83.11.757
发表时间：
1991-06-05
期刊：
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子：
--
作者：
MONKS, A;SCUDIERO, D;BOYD, M
通讯作者：
BOYD, M
影响因子：
14.9
作者：
Yang W;Soares J;Greninger P;Edelman EJ;Lightfoot H;Forbes S;Bindal N;Beare D;Smith JA;Thompson IR;Ramaswamy S;Futreal PA;Haber DA;Stratton MR;Benes C;McDermott U;Garnett MJ
通讯作者：
Garnett MJ