Literature DB >> 21853537

Integrative physical oncology.

Haralampos Hatzikirou1, Arnaud Chauviere, Amy L Bauer, André Leier, Michael T Lewis, Paul Macklin, Tatiana T Marquez-Lago, Elaine L Bearer, Vittorio Cristini.   

Abstract

Cancer is arguably the ultimate complex biological system. Solid tumors are microstructured soft matter that evolves as a consequence of spatio-temporal events at the intracellular (e.g., signaling pathways, macromolecular trafficking), intercellular (e.g., cell-cell adhesion/communication), and tissue (e.g., cell-extracellular matrix interactions, mechanical forces) scales. To gain insight, tumor and developmental biologists have gathered a wealth of molecular, cellular, and genetic data, including immunohistochemical measurements of cell type-specific division and death rates, lineage tracing, and gain-of-function/loss-of-function mutational analyses. These data are empirically extrapolated to a diagnosis/prognosis of tissue-scale behavior, e.g., for clinical decision. Integrative physical oncology (IPO) is the science that develops physically consistent mathematical approaches to address the significant challenge of bridging the nano (nm)-micro (µm) to macro (mm, cm) scales with respect to tumor development and progression. In the current literature, such approaches are referred to as multiscale modeling. In the present article, we attempt to assess recent modeling approaches on each separate scale and critically evaluate the current 'hybrid-multiscale' models used to investigate tumor growth in the context of brain and breast cancers. Finally, we provide our perspective on the further development and the impact of IPO.
Copyright © 2011 John Wiley & Sons, Inc.

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Year:  2011        PMID: 21853537      PMCID: PMC3622087          DOI: 10.1002/wsbm.158

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  70 in total

1.  'Go or grow': the key to the emergence of invasion in tumour progression?

Authors:  H Hatzikirou; D Basanta; M Simon; K Schaller; A Deutsch
Journal:  Math Med Biol       Date:  2010-07-07       Impact factor: 1.854

Review 2.  DNA methylation and human disease.

Authors:  Keith D Robertson
Journal:  Nat Rev Genet       Date:  2005-08       Impact factor: 53.242

3.  A cell-based model exhibiting branching and anastomosis during tumor-induced angiogenesis.

Authors:  Amy L Bauer; Trachette L Jackson; Yi Jiang
Journal:  Biophys J       Date:  2007-02-02       Impact factor: 4.033

4.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

Review 5.  Multiscale cancer modeling.

Authors:  Thomas S Deisboeck; Zhihui Wang; Paul Macklin; Vittorio Cristini
Journal:  Annu Rev Biomed Eng       Date:  2011-08-15       Impact factor: 9.590

Review 6.  The new WHO classification of brain tumours.

Authors:  P Kleihues; P C Burger; B W Scheithauer
Journal:  Brain Pathol       Date:  1993-07       Impact factor: 6.508

7.  Stochastic simulations of ErbB homo and heterodimerisation: potential impacts of receptor conformational state and spatial segregation.

Authors:  M-Y Hsieh; S Yang; M A Raymond-Stinz; S Steinberg; D G Vlachos; W Shu; B Wilson; J S Edwards
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

8.  A computational study of the development of epithelial acini: II. Necessary conditions for structure and lumen stability.

Authors:  Katarzyna A Rejniak; Alexander R A Anderson
Journal:  Bull Math Biol       Date:  2008-04-10       Impact factor: 1.758

9.  From pathway to population--a multiscale model of juxtacrine EGFR-MAPK signalling.

Authors:  D C Walker; N T Georgopoulos; J Southgate
Journal:  BMC Syst Biol       Date:  2008-11-26

10.  Ligand-dependent responses of the ErbB signaling network: experimental and modeling analyses.

Authors:  Marc R Birtwistle; Mariko Hatakeyama; Noriko Yumoto; Babatunde A Ogunnaike; Jan B Hoek; Boris N Kholodenko
Journal:  Mol Syst Biol       Date:  2007-11-13       Impact factor: 11.429

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  17 in total

Review 1.  Multiscale imaging and computational modeling of blood flow in the tumor vasculature.

Authors:  Eugene Kim; Spyros Stamatelos; Jana Cebulla; Zaver M Bhujwalla; Aleksander S Popel; Arvind P Pathak
Journal:  Ann Biomed Eng       Date:  2012-05-08       Impact factor: 3.934

2.  Cells as strain-cued automata.

Authors:  Brian N Cox; Malcolm L Snead
Journal:  J Mech Phys Solids       Date:  2015-12-02       Impact factor: 5.471

Review 3.  Mathematical modeling of tumor-immune cell interactions.

Authors:  Grace E Mahlbacher; Kara C Reihmer; Hermann B Frieboes
Journal:  J Theor Biol       Date:  2019-03-02       Impact factor: 2.691

Review 4.  Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues.

Authors:  Aleksandra Karolak; Dmitry A Markov; Lisa J McCawley; Katarzyna A Rejniak
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

5.  Diagnostic assessment of osteosarcoma chemoresistance based on Virtual Clinical Trials.

Authors:  K A Rejniak; M C Lloyd; D R Reed; M M Bui
Journal:  Med Hypotheses       Date:  2015-06-24       Impact factor: 1.538

6.  A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH.

Authors:  H L Rocha; R C Almeida; E A B F Lima; A C M Resende; J T Oden; T E Yankeelov
Journal:  Math Models Methods Appl Sci       Date:  2017-11-24       Impact factor: 3.817

Review 7.  The biology and mathematical modelling of glioma invasion: a review.

Authors:  J C L Alfonso; K Talkenberger; M Seifert; B Klink; A Hawkins-Daarud; K R Swanson; H Hatzikirou; A Deutsch
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

8.  Tumor growth in complex, evolving microenvironmental geometries: a diffuse domain approach.

Authors:  Ying Chen; John S Lowengrub
Journal:  J Theor Biol       Date:  2014-07-09       Impact factor: 2.691

9.  Understanding Drug Resistance in Breast Cancer with Mathematical Oncology.

Authors:  Terisse Brocato; Prashant Dogra; Eugene J Koay; Armin Day; Yao-Li Chuang; Zhihui Wang; Vittorio Cristini
Journal:  Curr Breast Cancer Rep       Date:  2014-06-01

10.  Computational medicine: translating models to clinical care.

Authors:  Raimond L Winslow; Natalia Trayanova; Donald Geman; Michael I Miller
Journal:  Sci Transl Med       Date:  2012-10-31       Impact factor: 17.956

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