T S Deisboeck

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. ncbi request reprint Pattern of self-organization in tumour systems: complex growth dynamics in a novel brain tumour spheroid model
    T S Deisboeck
    Neurosurgical Service, MGH Brain Tumor Center, Molecular Neuro oncology Laboratory, Harvard Medical School, Massachusetts General Hospital East, Charlestown, MA 02129, USA
    Cell Prolif 34:115-34. 2001
  2. pmc Cancer dissemination: a consequence of limited carrying capacity?
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 2301, Bldg 149, 13th Street, Charlestown, MA 02129, USA
    Med Hypotheses 69:173-7. 2007
  3. pmc Cancer metastasis networks and the prediction of progression patterns
    L L Chen
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Br J Cancer 101:749-58. 2009
  4. pmc Advancing Cancer Systems Biology: Introducing the Center for the Development of a Virtual Tumor, CViT
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129
    Cancer Inform 5:1-8. 2007
  5. pmc Life Sciences and the web: a new era for collaboration
    Jonathan A Sagotsky
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Mol Syst Biol 4:201. 2008
  6. pmc Identification of Critical Molecular Components in a Multiscale Cancer Model Based on the Integration of Monte Carlo, Resampling, and ANOVA
    Zhihui Wang
    Harvard MIT Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Charlestown, MA, USA
    Front Physiol 2:35. 2011
  7. pmc Professional networks in the life sciences: linking the linked
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
    Cancer Inform 9:189-95. 2010
  8. pmc Morphological instability and cancer invasion: a 'splashing water drop' analogy
    Caterina Guiot
    Dip Neuroscience and CNISM, Universita di Torino, Italy
    Theor Biol Med Model 4:4. 2007
  9. pmc Simulating non-small cell lung cancer with a multiscale agent-based model
    Zhihui Wang
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Theor Biol Med Model 4:50. 2007
  10. pmc Using magnetic resonance microscopy to study the growth dynamics of a glioma spheroid in collagen I: A case study
    Shuning Huang
    Harvard MIT HST Athinoula A, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    BMC Med Imaging 8:3. 2008

Research Grants

  1. Development of Virtual Tumor
    THOMAS DEISBOECK; Fiscal Year: 2006
  2. Development of Virtual Tumor
    THOMAS DEISBOECK; Fiscal Year: 2007

Collaborators

Detail Information

Publications42

  1. ncbi request reprint Pattern of self-organization in tumour systems: complex growth dynamics in a novel brain tumour spheroid model
    T S Deisboeck
    Neurosurgical Service, MGH Brain Tumor Center, Molecular Neuro oncology Laboratory, Harvard Medical School, Massachusetts General Hospital East, Charlestown, MA 02129, USA
    Cell Prolif 34:115-34. 2001
    ..Together, these results support the hypothesis of a self-organizing adaptive biosystem...
  2. pmc Cancer dissemination: a consequence of limited carrying capacity?
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 2301, Bldg 149, 13th Street, Charlestown, MA 02129, USA
    Med Hypotheses 69:173-7. 2007
    ....
  3. pmc Cancer metastasis networks and the prediction of progression patterns
    L L Chen
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Br J Cancer 101:749-58. 2009
    ..Metastasis patterns in cancer vary both spatially and temporally. Network modelling may allow the incorporation of the temporal dimension in the analysis of these patterns...
  4. pmc Advancing Cancer Systems Biology: Introducing the Center for the Development of a Virtual Tumor, CViT
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129
    Cancer Inform 5:1-8. 2007
    ..e. the Center for the Development of a Virtual Tumor, CViT, which is charged with building a cancer modeling community, developing the aforementioned enabling technologies and fostering multi-scale cancer modeling and simulation...
  5. pmc Life Sciences and the web: a new era for collaboration
    Jonathan A Sagotsky
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Mol Syst Biol 4:201. 2008
    ..This paper reviews the need for, and explores advantages of as well as challenges with these novel Internet information tools as illustrated with examples from the biomedical community...
  6. pmc Identification of Critical Molecular Components in a Multiscale Cancer Model Based on the Integration of Monte Carlo, Resampling, and ANOVA
    Zhihui Wang
    Harvard MIT Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Charlestown, MA, USA
    Front Physiol 2:35. 2011
    ..Analysis finds that ERK, a downstream molecule of the EGF receptor signaling pathway, has the most important impact on regulating both measures. The potential to apply this method to therapeutic target discovery is discussed...
  7. pmc Professional networks in the life sciences: linking the linked
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
    Cancer Inform 9:189-95. 2010
    ..Cross-domain data query, access, and retrieval will be important innovation areas to enable and facilitate this interaction in the coming years...
  8. pmc Morphological instability and cancer invasion: a 'splashing water drop' analogy
    Caterina Guiot
    Dip Neuroscience and CNISM, Universita di Torino, Italy
    Theor Biol Med Model 4:4. 2007
    ..Recent studies suggest that the process of invasion is driven at least in part by a set of physical forces that may be susceptible to mathematical modelling which could have practical clinical value...
  9. pmc Simulating non-small cell lung cancer with a multiscale agent-based model
    Zhihui Wang
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Theor Biol Med Model 4:50. 2007
    ..However, most of the previous modeling work focused on the molecular or the cellular level only, neglecting the crucial feedback between these scales as well as the interaction with the heterogeneous biochemical microenvironment...
  10. pmc Using magnetic resonance microscopy to study the growth dynamics of a glioma spheroid in collagen I: A case study
    Shuning Huang
    Harvard MIT HST Athinoula A, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    BMC Med Imaging 8:3. 2008
    ..In this case study, we have investigated the feasibility of using a specific form of MRI, i.e. magnetic resonance microscopy or MRM, to study the expansion dynamics of a multicellular tumor spheroid in a collagen type I gel...
  11. pmc In silico cancer modeling: is it ready for prime time?
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 13th Street, Charlestown, MA 02129, USA
    Nat Clin Pract Oncol 6:34-42. 2009
    ..Implications for clinical practice, and for clinical trial design and outcome prediction, are also discussed...
  12. pmc Cancer: a profit-driven biosystem?
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 2301, Building 149, 13th Street, Charlestown, MA 02129, USA
    Med Hypotheses 71:186-9. 2008
    ..Therapeutic attempts to better control tumor (re)growth should therefore aim primarily at containing its surface expansion, thus reducing its energetic revenue, or increasing its metabolic costs or better yet, both...
  13. doi request reprint Collective behavior in cancer cell populations
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Bioessays 31:190-7. 2009
    ....
  14. ncbi request reprint Does cancer growth depend on surface extension?
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 2301, Bldg 149, 13th Street, Charlestown, MA 02129, USA
    Med Hypotheses 67:1338-41. 2006
    ....
  15. ncbi request reprint Correlating velocity patterns with spatial dynamics in glioma cell migration
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, HST Biomedical Engineering Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Acta Biotheor 53:181-90. 2005
    ..Implications of this finding for both experimental and clinical cancer research are discussed...
  16. pmc Multiscale cancer modeling
    Thomas S Deisboeck
    Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
    Annu Rev Biomed Eng 13:127-55. 2011
    ....
  17. ncbi request reprint Insights from a novel tumor model: Indications for a quantitative link between tumor growth and invasion
    Thomas S Deisboeck
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, Bldg 149, 13th Street, Charlestown, MA 02129, USA
    Med Hypotheses 65:785-90. 2005
    ....
  18. pmc Glioma expansion in collagen I matrices: analyzing collagen concentration-dependent growth and motility patterns
    L J Kaufman
    Division of Engineering and Applied Sciences, and Department of Physics, Harvard University, Cambridge, Massachusetts, USA
    Biophys J 89:635-50. 2005
    ....
  19. ncbi request reprint Measuring the mechanical stress induced by an expanding multicellular tumor system: a case study
    V D Gordon
    Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
    Exp Cell Res 289:58-66. 2003
    ..This case study presents evidence that an expanding microscopic tumor system exerts both significant mechanical pressure and significant traction on its microenvironment...
  20. ncbi request reprint Simulating the impact of a molecular 'decision-process' on cellular phenotype and multicellular patterns in brain tumors
    Chaitanya Athale
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    J Theor Biol 233:469-81. 2005
    ..Implications of these results for future works, both on the modeling and experimental side are discussed...
  21. ncbi request reprint The effects of EGF-receptor density on multiscale tumor growth patterns
    Chaitanya A Athale
    Complex Biosystems Modeling Laboratory, Harvard MIT, HST, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 2301, Bldg 149, 13th Street, Charlestown, 02129, USA
    J Theor Biol 238:771-9. 2006
    ..Implications of these results for experimental cancer research are discussed...
  22. ncbi request reprint Evolutionary game theory in an agent-based brain tumor model: exploring the 'Genotype-Phenotype' link
    Yuri Mansury
    Complex Biosystems Modeling Laboratory, HST Biomedical Engineering Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    J Theor Biol 238:146-56. 2006
    ..We discuss potential implications of our findings for cancer research...
  23. ncbi request reprint Emerging patterns in tumor systems: simulating the dynamics of multicellular clusters with an agent-based spatial agglomeration model
    Yuri Mansury
    Harvard MIT Data Center, Harvard University, Cambridge, MA 02138, USA
    J Theor Biol 219:343-70. 2002
    ..Furthermore, in the case of such dominant local search, the model reveals an expansive advantage for tumor cell populations with a lower nutrient-depletion rate. Important implications of these results for cancer research are discussed...
  24. doi request reprint Multiscale agent-based cancer modeling
    Le Zhang
    Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    J Math Biol 58:545-59. 2009
    ..We summarize significant findings of this work, and discuss both challenges and future directions for ABM in the field of cancer research...
  25. ncbi request reprint The impact of "search precision" in an agent-based tumor model
    Yuri Mansury
    HST Biomedical Engineering Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    J Theor Biol 224:325-37. 2003
    ....
  26. doi request reprint An agent-based model identifies MRI regions of probable tumor invasion in a patient with glioblastoma
    L Leon Chen
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
    Phys Med Biol 55:329-38. 2010
    ..The simulation was able to successfully predict a recurrence in the dorsal/posterior aspect long before it was depicted on T1-weighted MRI, 18 months after the initial operation...
  27. pmc Investigating differential dynamics of the MAPK signaling cascade using a multi-parametric global sensitivity analysis
    Jeongah Yoon
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
    PLoS ONE 4:e4560. 2009
    ..This work adds a mechanistic insight of the contribution of key pathway components, thus may support the identification of biomarkers for pharmaceutical drug discovery processes...
  28. pmc Cancer cell motility: optimizing spatial search strategies
    L Leon Chen
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Biosystems 95:234-42. 2009
    ..Possible experimental extensions and potential clinical implications are discussed...
  29. ncbi request reprint Development of a three-dimensional multiscale agent-based tumor model: simulating gene-protein interaction profiles, cell phenotypes and multicellular patterns in brain cancer
    Le Zhang
    Complex Biosystems Modeling Laboratory, Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital East, 2301, Bldg 149, 13th Street, Charlestown, MA 02129, USA
    J Theor Biol 244:96-107. 2007
    ..We discuss potential implications of these findings for experimental and clinical cancer research...
  30. pmc Cross-scale sensitivity analysis of a non-small cell lung cancer model: linking molecular signaling properties to cellular behavior
    Zhihui Wang
    Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Biosystems 92:249-58. 2008
    ..This study provides a novel cross-scaled approach to analyzing sensitivities of computational model parameters and proposes its application to interdisciplinary biomarker studies...
  31. pmc Cross-scale, cross-pathway evaluation using an agent-based non-small cell lung cancer model
    Zhihui Wang
    Harvard MIT HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Bioinformatics 25:2389-96. 2009
    ..Potential implications of these in silico results for future clinico-pharmacological applications are discussed...
  32. ncbi request reprint Tumor growth instability and the onset of invasion
    Mario Castro
    Grupo Interdisciplinar de Sistemas Complejos GISC, Escuela Técnica Superior de Ingeniería ICAI, Universidad Pontificia Comillas, E 28015 Madrid, Spain
    Phys Rev E Stat Nonlin Soft Matter Phys 72:041907. 2005
    ..Finally, both the analytical study and the numerical work agree with the experimental phenomena...
  33. ncbi request reprint Physical aspects of cancer invasion
    Caterina Guiot
    Department of Neuroscience, University of Torino, Torino, Italy CNISM, Torino, Italy
    Phys Biol 4:P1-6. 2007
    ..Phys. Lett. 89 233901) or a water drop impinging on a surface (C Guiot, P P Delsanto and T S Deisboeck 2007 Morphological instability and cancer invasion: a 'splashing water drop' analogy Theor. Biol. Med...
  34. ncbi request reprint Growth patterns of microscopic brain tumors
    Leonard M Sander
    Department of Physics and Michigan Center for Theoretical Physics, The University of Michigan, Ann Arbor 48109, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 66:051901. 2002
    ..Our model thus can give a way to assess the importance of the various processes, and a way to explore and analyze transitions between different growth regimes...
  35. ncbi request reprint Does tumor growth follow a "universal law"?
    Caterina Guiot
    Dip Neuroscience, Universita di Torino, C Raffaello 30, 10125, Torino, Italy
    J Theor Biol 225:147-51. 2003
    ..Several important implications of this finding are discussed, including its relevance for tumor metastasis and recurrence, cell turnover rates, angiogenesis and invasion...
  36. ncbi request reprint Analysis and 3D reconstruction of heterogeneity in malignant brain tumors: an interdisciplinary case study using a novel computational visualization approach
    Aleksandra Mojsilovic
    IBM TJ Watson Research Center, Hawthorne, New York 10532, USA
    Anal Quant Cytol Histol 24:125-33. 2002
    ..To explore how a multidisciplinary approach, combining modern visualization and image processing techniques with innovative experimental studies, can augment the understanding of tumor development...
  37. ncbi request reprint Visualization and analysis of white matter structural asymmetry in diffusion tensor MRI data
    Song Zhang
    Department of Computer Science, Brown University, Providence, Rhode Island, USA
    Magn Reson Med 51:140-7. 2004
    ..These results demonstrate the potential of this approach to characterize brain structure in both healthy and diseased subjects...
  38. ncbi request reprint An error catastrophe in cancer?
    Ricard V Sole
    ICREA Complex Systems Lab, Universitat Pompeu Fabra, Barcelona, Spain
    J Theor Biol 228:47-54. 2004
    ..Once the threshold is reached, the highly unstable tumor cell populations, which were sustaining malignant growth, become unable to maintain their genetic information, which in turn triggers a slowed down overall tumor growth regime...
  39. ncbi request reprint The dynamic evolution of the power exponent in a universal growth model of tumors
    Caterina Guiot
    Dip Neuroscience, Universita di Torino, Italy
    J Theor Biol 240:459-63. 2006
    ..Our model might be applied for diagnostic purposes to mark the emergence of an efficient neo-angiogenetic structure if the results of our in silico experiments are confirmed by clinical observations...
  40. ncbi request reprint Cancer stem cells as the engine of unstable tumor progression
    Ricard V Sole
    Complex Systems Lab ICREA UPF, Barcelona Biomedical Research Park PRBB GRIB, Dr Aiguader 88, 08003 Barcelona, Spain
    J Theor Biol 253:629-37. 2008
    ..This dominant population is in fact separated from the low-mutation compartment by an instability gap, where almost no cancer cells are observed. The possible implications of this prediction are discussed...

Research Grants3

  1. Development of Virtual Tumor
    THOMAS DEISBOECK; Fiscal Year: 2006
    ..Ultimately, this module-based tool-kit will have important clinical applications including virtual trials and patient outcome predictions. ..
  2. Development of Virtual Tumor
    THOMAS DEISBOECK; Fiscal Year: 2007
    ..Ultimately, this module-based tool-kit will have important clinical applications including virtual trials and patient outcome predictions. ..