Literature DB >> 21465465

Cellular modeling of cancer invasion: integration of in silico and in vitro approaches.

Yoonseok Kam1, Katarzyna A Rejniak, Alexander R A Anderson.   

Abstract

Cancer invasion is one of the hallmarks of cancer and a prerequisite for cancer metastasis. However, the invasive process is very complex, depending on multiple correlated intrinsic and environmental factors, and thus is difficult to study experimentally in a fully controlled way. Therefore, there is an increased demand for interdisciplinary integrated approaches combining laboratory experiments with multiscale in silico modeling. In this review, we will summarize current computational techniques applicable to model cancer invasion in silico, with a special focus on a class of individual-cell-based models developed in our laboratories. We also discuss their integration with traditional and novel in vitro experimentation, including new invasion assays whose design was inspired by computational modeling.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2012        PMID: 21465465      PMCID: PMC3687536          DOI: 10.1002/jcp.22766

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  67 in total

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Review 5.  Annexin V-affinity assay: a review on an apoptosis detection system based on phosphatidylserine exposure.

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

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7.  The use of ATP bioluminescence as a measure of cell proliferation and cytotoxicity.

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8.  Nest expansion assay: a cancer systems biology approach to in vitro invasion measurements.

Authors:  Yoonseok Kam; Audrey Karperien; Brandy Weidow; Lourdes Estrada; Alexander R Anderson; Vito Quaranta
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9.  Modeling of self-organized avascular tumor growth with a hybrid cellular automaton.

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10.  A novel circular invasion assay mimics in vivo invasive behavior of cancer cell lines and distinguishes single-cell motility in vitro.

Authors:  Yoonseok Kam; Cherise Guess; Lourdes Estrada; Brandy Weidow; Vito Quaranta
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  19 in total

1.  The formation of tight tumor clusters affects the efficacy of cell cycle inhibitors: a hybrid model study.

Authors:  Munju Kim; Damon Reed; Katarzyna A Rejniak
Journal:  J Theor Biol       Date:  2014-03-05       Impact factor: 2.691

2.  Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion.

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Review 3.  The biology and mathematical modelling of glioma invasion: a review.

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Authors:  Jill Gallaher; Alexander R A Anderson
Journal:  Interface Focus       Date:  2013-08-06       Impact factor: 3.906

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

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Journal:  J Theor Biol       Date:  2014-07-09       Impact factor: 2.691

Review 6.  Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.

Authors:  Thomas E Yankeelov; Gary An; Oliver Saut; E Georg Luebeck; Aleksander S Popel; Benjamin Ribba; Paolo Vicini; Xiaobo Zhou; Jared A Weis; Kaiming Ye; Guy M Genin
Journal:  Ann Biomed Eng       Date:  2016-07-06       Impact factor: 3.934

7.  The mechanics of metastasis: insights from a computational model.

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8.  Heterotypic tumor models through freeform printing into photostabilized granular microgels.

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Journal:  Biomater Sci       Date:  2021-06-15       Impact factor: 7.590

9.  Multiscale modelling of solid tumour growth: the effect of collagen micromechanics.

Authors:  Peter A Wijeratne; Vasileios Vavourakis; John H Hipwell; Chrysovalantis Voutouri; Panagiotis Papageorgis; Triantafyllos Stylianopoulos; Andrew Evans; David J Hawkes
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10.  Modeling the mechanics of cancer: effect of changes in cellular and extra-cellular mechanical properties.

Authors:  Parag Katira; Roger T Bonnecaze; Muhammad H Zaman
Journal:  Front Oncol       Date:  2013-06-11       Impact factor: 6.244

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