The ecology in the hematopoietic stem cell niche determines the clinical outcome in chronic myeloid leukemia

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 10, 2014, Pages 3883-3888

  MacLean, Adam L ^a   Filippi, Sarah ^a   Stumpf, Michael P H ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Cancer progression; Competition; Model selection; Niche dynamics

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CANCER RECURRENCE; CELL DEATH; CELL DIFFERENTIATION; CHRONIC MYELOID LEUKEMIA; DISEASE COURSE; ECOLOGY; GROWTH RATE; HEMATOPOIETIC STEM CELL; HUMAN; HUMAN TISSUE; LYMPHOCYTE; MICROENVIRONMENT; PHENOTYPE; PRIORITY JOURNAL; RELAPSE; REMISSION; STEADY STATE; STEM CELL NICHE; TREATMENT OUTCOME;

CANCER PROGRESSION; COMPETITION; MODEL SELECTION; NICHE DYNAMICS;

BAYES THEOREM; DISEASE PROGRESSION; HEMATOPOIETIC STEM CELLS; HUMANS; LEUKEMIA, MYELOID; MODELS, BIOLOGICAL; STEM CELL NICHE; TUMOR MICROENVIRONMENT;

EID: 84896289768     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1317072111     Document Type: Article

References (30)

1. Morrison SJ, Uchida N, Weissman IL (1995) The biology of hematopoietic stem cells. Annu Rev Cell Dev Biol 11:35-71.
2. Wang LD, Wagers AJ (2011) Dynamic niches in the origination and differentiation of haematopoietic stem cells. Nat Rev Mol Cell Biol 12(10):643-655.
3. Hu X, et al. (2009) Kinetics of normal hematopoietic stem and progenitor cells in a Notch1-induced leukemia model. Blood 114(18):3783-3792.
4. Lapidot T, et al. (1994) A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367(6464):645-648.
5. Hope KJ, Jin L, Dick JE (2004) Acute myeloid leukemia originates from a hierarchy of leukemic stem cell classes that differ in self-renewal capacity. Nat Immunol 5(7):738-743.
6. Jamieson CHM, et al. (2004) Granulocyte-macrophage progenitors as candidate leukemic stem cells in blast-crisis CML. N Engl J Med 351(7):657-667.
7. Wang JCY, Dick JE (2005) Cancer stem cells: Lessons from leukemia. Trends Cell Biol 15(9):494-501.
8. Schofield R (1978) The relationship between the spleen colony-forming cell and the haemopoietic stem cell. Blood Cells 4(1-2):7-25.
9. Zhang J, et al. (2003) Identification of the haematopoietic stem cell niche and control of the niche size. Nature 425(6960):836-841.
10. Calvi LM, et al. (2003) Osteoblastic cells regulate the haematopoietic stem cell niche. Nature 425(6960):841-846.
11. Kiel MJ, et al. (2005) SLAM family receptors distinguish hematopoietic stem and progenitor cells and reveal endothelial niches for stem cells. Cell 121(7):1109-1121.
12. Adams GB, et al. (2006) Stem cell engraftment at the endosteal niche is specified by the calcium-sensing receptor. Nature 439(7076):599-603.
13. Wilson A, Trumpp A (2006) Bone-marrow haematopoietic-stem-cell niches. Nat Rev Immunol 6(2):93-106.
14. Fleming HE, et al. (2008) Wnt signaling in the niche enforces hematopoietic stem cell quiescence and is necessary to preserve self-renewal in vivo. Cell Stem Cell 2(3):274-283.
15. Mangel M, Bonsall MB (2008) Phenotypic evolutionary models in stem cell biology: replacement, quiescence, and variability. PLoS ONE 3(2):e1591.
16. Muller MC, et al. (2003) Dynamics of BCR-ABL mRNA expression in first-line therapy of chronic myelogenous leukemia patients with imatinib or interferon α/ara-C. Leukemia 17(12):2392.2400.
17. MacLean AL, Lo Celso C, Stumpf MPH (2013) Population dynamics of normal and leukaemia stem cells in the haematopoietic stem cell niche show distinct regimes where leukaemia will be controlled. J R Soc Interface 10(81):20120968.
18. Michor F, et al. (2005) Dynamics of chronic myeloid leukaemia. Nature 435(7046):1267.1270.
19. Foo J, Drummond MW, Clarkson B, Holyoake T, Michor F (2009) Eradication of chronic myeloid leukemia stem cells: A novel mathematical model predicts no therapeutic benefit of adding G-CSF to imatinib. PLOS Comput Biol 5(9):e1000503.
20. Roeder I, et al. (2006) Dynamic modeling of imatinib-treated chronic myeloid leukemia: Functional insights and clinical implications. Nat Med 12(10):1181-1184.
21. Toni T, Welch D, Strelkowa N, Ipsen A, Stumpf MPH (2009) Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. J R Soc Interface 6(31):187-202.
22. Del Moral P, Doucet A, Jasra A (2006) Sequential Monte Carlo samplers. J R Stat Soc Series B Stat Methodol 68:411-436.
23. Jeffreys H (1961) Theory of Probability (Oxford Univ Press, Oxford, UK).
24. Mahon FX (2012) Is going for cure in chronic myeloid leukemia possible and justifiable? American Soc Hematol Educ Progr 2012:122-128.
25. Moore H, Li NK (2004) A mathematical model for chronic myelogenous leukemia (CML) and T cell interaction. J Theor Biol 227(4):513-523.
26. Colijn C, Mackey MC (2005) A mathematical model of hematopoiesis. I. Periodic chronic myelogenous leukemia. J Theor Biol 237(2):117-132.
27. Kim PS, Lee PP, Levy D (2008) A PDE model for imatinib-treated chronic myelogenous leukemia. Bull Math Biol 70(7):1994-2016.
28. Werner B, Dingli D, Lenaerts T, Pacheco JM, Traulsen A (2011) Dynamics of mutant cells in hierarchical organized tissues. PLOS Comput Biol 7(12):e1002290.
29. Liepe J, et al. (2010) ABC-SysBio. Approximate Bayesian computation in Python with GPU support. Bioinformatics 26(14):1797-1799.
30. Zhou Y, Liepe J, Sheng X, Stumpf MPH, Barnes CP (2011) GPU accelerated biochemical network simulation. Bioinformatics 27(6):874-876.