塑造精准肿瘤学的未来:整合昼夜节律医学和数学模型,实现个性化癌症治疗

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Janina Hesse , Nina Nelson , Angela Relógio
{"title":"塑造精准肿瘤学的未来:整合昼夜节律医学和数学模型,实现个性化癌症治疗","authors":"Janina Hesse ,&nbsp;Nina Nelson ,&nbsp;Angela Relógio","doi":"10.1016/j.coisb.2024.100506","DOIUrl":null,"url":null,"abstract":"<div><p>The growing numbers of cancer cases represent a medical and societal burden worldwide. More than half of all cancer patients are treated with chemotherapy. Yet, chemotherapeutic drugs kill not only cancer cells, but also healthy tissue, causing massive adverse side effects. Recent research on circadian medicine suggests that side-effects can be reduced, and treatment efficacy increased, by considering the biological clock of patients. Integrating circadian profiles of molecular clock markers in personalized mathematical models can simulate individual circadian dynamics of drug uptake, drug action and cellular response to chemotherapy. This requires advanced computational tools that balance prediction quality with overfitting. Personalized mathematical models will eventually lead to an optimal alignment of treatment timing with the inner circadian clock of the patient, reducing side effects, increasing efficacy and enhancing patient well-being.</p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":"37 ","pages":"Article 100506"},"PeriodicalIF":3.4000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2452310024000027/pdfft?md5=ca1548e10b73e11752c874903a1363a1&pid=1-s2.0-S2452310024000027-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Shaping the future of precision oncology: Integrating circadian medicine and mathematical models for personalized cancer treatment\",\"authors\":\"Janina Hesse ,&nbsp;Nina Nelson ,&nbsp;Angela Relógio\",\"doi\":\"10.1016/j.coisb.2024.100506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The growing numbers of cancer cases represent a medical and societal burden worldwide. More than half of all cancer patients are treated with chemotherapy. Yet, chemotherapeutic drugs kill not only cancer cells, but also healthy tissue, causing massive adverse side effects. Recent research on circadian medicine suggests that side-effects can be reduced, and treatment efficacy increased, by considering the biological clock of patients. Integrating circadian profiles of molecular clock markers in personalized mathematical models can simulate individual circadian dynamics of drug uptake, drug action and cellular response to chemotherapy. This requires advanced computational tools that balance prediction quality with overfitting. Personalized mathematical models will eventually lead to an optimal alignment of treatment timing with the inner circadian clock of the patient, reducing side effects, increasing efficacy and enhancing patient well-being.</p></div>\",\"PeriodicalId\":37400,\"journal\":{\"name\":\"Current Opinion in Systems Biology\",\"volume\":\"37 \",\"pages\":\"Article 100506\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2452310024000027/pdfft?md5=ca1548e10b73e11752c874903a1363a1&pid=1-s2.0-S2452310024000027-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Systems Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452310024000027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452310024000027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

癌症病例的不断增加给全世界带来了医疗和社会负担。一半以上的癌症患者接受化疗。然而,化疗药物不仅会杀死癌细胞,也会杀死健康组织,从而产生大量不良副作用。最新的昼夜节律医学研究表明,考虑患者的生物钟可以减少副作用,提高治疗效果。在个性化数学模型中整合分子时钟标记的昼夜节律特征,可以模拟药物吸收、药物作用和细胞对化疗反应的个体昼夜节律动态。这需要先进的计算工具在预测质量与过度拟合之间取得平衡。个性化数学模型最终将使治疗时间与病人的内在昼夜节律时钟达到最佳协调,从而减少副作用、提高疗效并改善病人的健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Shaping the future of precision oncology: Integrating circadian medicine and mathematical models for personalized cancer treatment

Shaping the future of precision oncology: Integrating circadian medicine and mathematical models for personalized cancer treatment

The growing numbers of cancer cases represent a medical and societal burden worldwide. More than half of all cancer patients are treated with chemotherapy. Yet, chemotherapeutic drugs kill not only cancer cells, but also healthy tissue, causing massive adverse side effects. Recent research on circadian medicine suggests that side-effects can be reduced, and treatment efficacy increased, by considering the biological clock of patients. Integrating circadian profiles of molecular clock markers in personalized mathematical models can simulate individual circadian dynamics of drug uptake, drug action and cellular response to chemotherapy. This requires advanced computational tools that balance prediction quality with overfitting. Personalized mathematical models will eventually lead to an optimal alignment of treatment timing with the inner circadian clock of the patient, reducing side effects, increasing efficacy and enhancing patient well-being.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信