将进化癌症疗法引入临床：系统方法。

IF 3.5 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2025-05-27 DOI:10.1038/s41540-025-00528-8

Arina Soboleva, Irene Grossmann, Anne-Marie C Dingemans, Jafar Rezaei, Kateřina Staňková

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引用次数: 0

摘要

进化癌症治疗（ECT）通过根据个体患者和疾病特征调整治疗来延缓或预防转移性癌症的进展。临床实施电痉挛疗法可以改善患者的治疗效果，但面临技术和文化方面的挑战。为了解决这些问题，我们提出了一种结合系统建模、问题结构和涉众参与的系统方法。这种方法确定并解决了实施的障碍，确保了ECT在临床实践中的可行性，并使转移性癌症得到更好的治疗。

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Bringing evolutionary cancer therapy to the clinic: a systems approach.

Evolutionary cancer therapy (ECT) delays or forestalls the progression of metastatic cancer by adjusting treatment based on individual patient and disease characteristics. Clinical implementation of ECT can improve patient outcomes but faces technical and cultural challenges. To address those, we propose a systems approach incorporating systems modeling, problem structuring, and stakeholder engagement. This approach identifies and addresses barriers to implementation, ensuring the feasibility of ECT in clinical practice and enabling better metastatic cancer care.

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.