• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用数学模型了解血液学毒性。

Understanding Hematological Toxicities Using Mathematical Modeling.

机构信息

Safety and ADME Translational Sciences, Drug Safety and Metabolism, IMED Biotech Unit, AstraZeneca, Cambridge, UK.

Oncology Translational Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, UK.

出版信息

Clin Pharmacol Ther. 2018 Oct;104(4):644-654. doi: 10.1002/cpt.1080. Epub 2018 May 1.

DOI:10.1002/cpt.1080
PMID:29604045
Abstract

Balancing antitumor efficacy with toxicity is a significant challenge, and drug-induced myelosuppression is a common dose-limiting toxicity of cancer treatments. Mathematical modeling has proven to be a powerful ally in this field, scaling results from animal models to humans, and designing optimized treatment regimens. Here we outline existing mathematical approaches for studying bone marrow toxicity, identify gaps in current understanding, and make future recommendations to advance this vital field of safety research further.

摘要

在抗肿瘤疗效与毒性之间取得平衡是一项重大挑战,而药物引起的骨髓抑制是癌症治疗中常见的剂量限制性毒性。数学建模已被证明是该领域的有力工具,可将动物模型的结果扩展到人类,并设计优化的治疗方案。在这里,我们概述了现有的用于研究骨髓毒性的数学方法,确定了当前理解中的差距,并提出了未来的建议,以进一步推进这一重要的安全研究领域。

相似文献

1
Understanding Hematological Toxicities Using Mathematical Modeling.利用数学模型了解血液学毒性。
Clin Pharmacol Ther. 2018 Oct;104(4):644-654. doi: 10.1002/cpt.1080. Epub 2018 May 1.
2
Prospects for eradication of therapy-induced myelosuppression.
Bone Marrow Transplant. 1990 Jan;5 Suppl 1:41-2.
3
Hematologic complications of cancer chemotherapy.癌症化疗的血液学并发症
Semin Oncol. 1982 Mar;9(1):95-102.
4
Mechanistic Investigation of Bone Marrow Suppression Associated with Palbociclib and its Differentiation from Cytotoxic Chemotherapies.机制研究帕博西尼引起的骨髓抑制及其与细胞毒性化疗的区别。
Clin Cancer Res. 2016 Apr 15;22(8):2000-8. doi: 10.1158/1078-0432.CCR-15-1421. Epub 2015 Dec 2.
5
Bone Marrow Micro-Environment in Normal and Deranged Hematopoiesis: Opportunities for Regenerative Medicine and Therapies.正常和异常造血中的骨髓微环境:再生医学和治疗的机会。
Bioessays. 2018 Mar;40(3). doi: 10.1002/bies.201700190. Epub 2018 Jan 31.
6
[Review on experimental studies of Chinese drugs in antagonizing bone marrow inhibition caused by chemicals].
Zhongguo Zhong Xi Yi Jie He Za Zhi. 1999 Aug;19(8):506-8.
7
Long-term bone marrow damage in experimental systems and in patients after radiation or chemotherapy.实验系统以及放疗或化疗后患者的长期骨髓损伤。
Anticancer Res. 1985 Jan-Feb;5(1):101-10.
8
Chemotherapy-induced myelosuppression.化疗引起的骨髓抑制。
Semin Oncol Nurs. 1992 May;8(2):113-23. doi: 10.1016/0749-2081(92)90027-z.
9
Benzene-induced hematotoxicity and bone marrow compensation in B6C3F1 mice.苯诱导的B6C3F1小鼠血液毒性和骨髓代偿
Fundam Appl Toxicol. 1997 Apr;36(2):119-29. doi: 10.1006/faat.1997.2293.
10
Development and application of in vitro models of hematopoiesis to drug development.造血体外模型在药物研发中的开发与应用。
Toxicol Pathol. 1993;21(2):231-40. doi: 10.1177/019262339302100216.

引用本文的文献

1
A comprehensive regulatory and industry review of modeling and simulation practices in oncology clinical drug development.肿瘤临床药物开发中建模和模拟实践的全面监管和行业审查。
J Pharmacokinet Pharmacodyn. 2023 Jun;50(3):147-172. doi: 10.1007/s10928-023-09850-2. Epub 2023 Mar 4.
2
Development of a Machine Learning-Based Prediction Model for Chemotherapy-Induced Myelosuppression in Children with Wilms' Tumor.基于机器学习的肾母细胞瘤患儿化疗所致骨髓抑制预测模型的开发
Cancers (Basel). 2023 Feb 8;15(4):1078. doi: 10.3390/cancers15041078.
3
Systems Modeling to Quantify Safety Risks in Early Drug Development: Using Bifurcation Analysis and Agent-Based Modeling as Examples.
早期药物研发中安全风险量化的系统建模:以分岔分析和基于主体的建模为例
AAPS J. 2021 May 20;23(4):77. doi: 10.1208/s12248-021-00580-2.
4
Optimal experimental design for mathematical models of haematopoiesis.造血数学模型的最优实验设计
J R Soc Interface. 2021 Jan;18(174):20200729. doi: 10.1098/rsif.2020.0729. Epub 2021 Jan 27.
5
Machine Learning Approach to Forecast Chemotherapy-Induced Haematological Toxicities in Patients with Rhabdomyosarcoma.预测横纹肌肉瘤患者化疗引起血液学毒性的机器学习方法
Cancers (Basel). 2020 Jul 17;12(7):1944. doi: 10.3390/cancers12071944.
6
An in vitro quantitative systems pharmacology approach for deconvolving mechanisms of drug-induced, multilineage cytopenias.一种体外定量系统药理学方法,用于剖析药物诱导的多谱系血细胞减少症的作用机制。
PLoS Comput Biol. 2020 Jul 23;16(7):e1007620. doi: 10.1371/journal.pcbi.1007620. eCollection 2020 Jul.
7
Importance of Stability Analysis When Using Nonlinear Semimechanistic Models to Describe Drug-Induced Hematotoxicity.当使用非线性半机械模型来描述药物引起的血液毒性时,稳定性分析的重要性。
CPT Pharmacometrics Syst Pharmacol. 2020 Sep;9(9):498-508. doi: 10.1002/psp4.12514. Epub 2020 Jul 8.
8
Quantifying Drug-Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model.利用新型造血系统药理学模型定量评估药物诱导的骨髓毒性。
CPT Pharmacometrics Syst Pharmacol. 2019 Nov;8(11):858-868. doi: 10.1002/psp4.12459. Epub 2019 Oct 20.
9
Mathematical models for cytarabine-derived myelosuppression in acute myeloid leukaemia.用于急性髓系白血病中阿糖胞苷引起的骨髓抑制的数学模型。
PLoS One. 2019 Jul 1;14(7):e0204540. doi: 10.1371/journal.pone.0204540. eCollection 2019.