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TY - JOUR AU - Brehme, Marc AU - Koschmieder, Steffen AU - Montazeri, Maryam AU - Copland, Mhairi AU - Oehler, Vivian G. AU - Radich, Jerald P. AU - Brümmendorf, Tim H. AU - Schuppert, Andreas PY - 2016 DA - 2016/04/06 TI - Combined Population Dynamics and Entropy Modelling Supports Patient Stratification in Chronic Myeloid Leukemia JO - Scientific Reports SP - 24057 VL - 6 IS - 1 AB - Modelling the parameters of multistep carcinogenesis is key for a better understanding of cancer progression, biomarker identification and the design of individualized therapies. Using chronic myeloid leukemia (CML) as a paradigm for hierarchical disease evolution we show that combined population dynamic modelling and CML patient biopsy genomic analysis enables patient stratification at unprecedented resolution. Linking CD34+ similarity as a disease progression marker to patient-derived gene expression entropy separated established CML progression stages and uncovered additional heterogeneity within disease stages. Importantly, our patient data informed model enables quantitative approximation of individual patients’ disease history within chronic phase (CP) and significantly separates “early” from “late” CP. Our findings provide a novel rationale for personalized and genome-informed disease progression risk assessment that is independent and complementary to conventional measures of CML disease burden and prognosis. SN - 2045-2322 UR - https://doi.org/10.1038/srep24057 DO - 10.1038/srep24057 ID - Brehme2016 ER -