Computational modeling reveals key factors driving treatment-free remission in chronic myeloid leukemia patients

• Published in: NPJ systems biology and applications Vol. 10; no. 1; p. 45
• Main Authors: Lai, Xiulan, Jiao, Xiaopei, Zhang, Haojian, Lei, Jinzhi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 27.04.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1041; 692/699/67; Bioinformatics; Biomedical and Life Sciences; Bone marrow; Chronic myeloid leukemia; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Computer Simulation; Feedback; Humans; Leukemia; Leukemia, Myelogenous, Chronic, BCR-ABL Positive - drug therapy; Life Sciences; Mathematical models; Models, Biological; Myeloid leukemia; Neoplastic Stem Cells - drug effects; Neoplastic Stem Cells - metabolism; Patients; Peripheral blood; Protein Kinase Inhibitors - therapeutic use; Remission; Remission (Medicine); Remission Induction; Stem cells; Systems Biology; Tumor microenvironment; Tumor Microenvironment - drug effects; Tumors; Tyrosine kinase inhibitors

Patients with chronic myeloid leukemia (CML) who receive tyrosine kinase inhibitors (TKIs) have been known to achieve treatment-free remission (TFR) upon discontinuing treatment. However, the underlying mechanisms of this phenomenon remain incompletely understood. This study aims to elucidate the me...