Soboleva Arina, Grossmann Irene, Dingemans Anne-Marie C, Rezaei Jafar, Staňková Kateřina
Institute for Health Systems Science, Delft University of Technology, Delft, The Netherlands.
Department of Pulmonology, Erasmus Medical Center Cancer Institute, Rotterdam, The Netherlands.
NPJ Syst Biol Appl. 2025 May 27;11(1):56. doi: 10.1038/s41540-025-00528-8.
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.
进化癌症疗法（ECT）通过根据个体患者和疾病特征调整治疗方案，来延缓或阻止转移性癌症的进展。ECT的临床应用可以改善患者预后，但面临技术和文化方面的挑战。为了解决这些问题，我们提出一种系统方法，该方法包含系统建模、问题构建和利益相关者参与。这种方法能够识别并解决实施过程中的障碍，确保ECT在临床实践中的可行性，并实现更好的转移性癌症治疗。
