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Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood Volume 119(19):4363-4371 May 10, 2012 ©2012 by American Society of Hematology

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Page 1: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

Quantitative modeling of chronic myeloid leukemia: insights from radiobiology

by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs

BloodVolume 119(19):4363-4371

May 10, 2012

©2012 by American Society of Hematology

Page 2: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

Cell population dynamic CML models.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology

Page 3: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

TKI discontinuation possibilities illustrate deterministic versus stochastic modeling differences.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology

Page 4: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

CML latency time T. T is here considered as a random variable, that is, a quantity described by a probability density because it may fluctuate from case to case in a way not (yet) fully predictable.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology

Page 5: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

Atomic bomb survivor waiting times.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology

Page 6: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

Age dependence of background CML incidence and translocation prevalence.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology

Page 7: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

CML incidence versus age at radiation exposure for different dose groups.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology

Page 8: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood

Proximity effects.

Tomas Radivoyevitch et al. Blood 2012;119:4363-4371

©2012 by American Society of Hematology