國立虎尾科技大學 |

Systems Biology of Tumor Microenvironment = Quantitative Modeling and Simulations /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Systems Biology of Tumor Microenvironment/ edited by Katarzyna A. Rejniak.
Reminder of title:	Quantitative Modeling and Simulations /
other author:	Rejniak, Katarzyna A.
Description:	XVII, 249 p. 93 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Cancer research. -
Online resource:	https://doi.org/10.1007/978-3-319-42023-3
ISBN:	9783319420233

Systems Biology of Tumor Microenvironment = Quantitative Modeling and Simulations /
Systems Biology of Tumor MicroenvironmentQuantitative Modeling and Simulations /[electronic resource] :edited by Katarzyna A. Rejniak. - 1st ed. 2016. - XVII, 249 p. 93 illus., 80 illus. in color.online resource. - Advances in Experimental Medicine and Biology,9360065-2598 ;. - Advances in Experimental Medicine and Biology,889.

Foreword -- Preface -- List of Contributors -- Image Analysis of the Tumor Microenvironment -- Hypoxia in Gliomas: Opening Therapeutical Opportunities Using a Mathematical-Based Approach -- Computer Simulations of the Tumor Vasculature: Applications to Interstitial Fluid Flow, Drug Delivery, and Oxygen -- Cell-ECM Interactions in Tumor Invasion -- Circulating Tumor Cells: When Solid tumor Meets Fluid Microenvironment -- Modeling Proteolytically Driven Tumor Lymphangiogenesis -- Positive feedback loops between inflammatory, bone and cancer cells during metastatic niche construction -- Microenvironmental Niches and Sanctuaries: a Route to Acquired Resistance -- The Tumor Microenvironment as a Barrier to Cancer Nanotherapy -- Microenvironment-Mediated Modeling of Tumor Response to Vascular-Targeting Drugs -- Optimizing Chemotherapeutic Anti-Cancer Treatment and the Tumor Microenvironment: An Analysis of Mathematical Models -- Progress towards computational 3-D multicellular systems biology -- Index.

This edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment. Each chapter presents a different mathematical model designed to investigate the interactions between tumor cells and the surrounding stroma and stromal cells. The topics covered in this book include the quantitative image analysis of a tumor microenvironment, the microenvironmental barriers in oxygen and drug delivery to tumors, the development of tumor microenvironmental niches and sanctuaries, intravenous transport of the circulating tumor cells, the role of the tumor microenvironment in chemotherapeutic interventions, the interactions between tumor cells, the extracellular matrix, the interstitial fluid, and the immune and stromal cells. Mathematical models discussed here embrace both continuous and agent-based approaches, as well as mathematical frameworks of solid mechanics, fluid dynamics and optimal control theory. The topics in each chapter will be of interest to a biological community wishing to apply the mathematical methods to interpret their experimental data, and to a biomathematical audience interested in exploring how mathematical models can be used to address complex questions in cancer biology.

ISBN: 9783319420233

Standard No.: 10.1007/978-3-319-42023-3doiSubjects--Topical Terms:

1253664
Cancer research.

LC Class. No.: RC261-271

Dewey Class. No.: 614.5999

Systems Biology of Tumor Microenvironment = Quantitative Modeling and Simulations /
LDR:03758nam a22004095i 4500 001 980308
003 DE-He213
005 20200630023758.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319420233 $9 978-3-319-42023-3
024 7 $a 10.1007/978-3-319-42023-3 $2 doi
035 $a 978-3-319-42023-3
050 4 $a RC261-271
072 7 $a MJCL $2 bicssc
072 7 $a MED062000 $2 bisacsh
072 7 $a MJCL $2 thema
082 0 4 $a 614.5999 $2 23
245 1 0 $a Systems Biology of Tumor Microenvironment $h [electronic resource] : $b Quantitative Modeling and Simulations / $c edited by Katarzyna A. Rejniak.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XVII, 249 p. 93 illus., 80 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Experimental Medicine and Biology, $x 0065-2598 ; $v 936
505 0 $a Foreword -- Preface -- List of Contributors -- Image Analysis of the Tumor Microenvironment -- Hypoxia in Gliomas: Opening Therapeutical Opportunities Using a Mathematical-Based Approach -- Computer Simulations of the Tumor Vasculature: Applications to Interstitial Fluid Flow, Drug Delivery, and Oxygen -- Cell-ECM Interactions in Tumor Invasion -- Circulating Tumor Cells: When Solid tumor Meets Fluid Microenvironment -- Modeling Proteolytically Driven Tumor Lymphangiogenesis -- Positive feedback loops between inflammatory, bone and cancer cells during metastatic niche construction -- Microenvironmental Niches and Sanctuaries: a Route to Acquired Resistance -- The Tumor Microenvironment as a Barrier to Cancer Nanotherapy -- Microenvironment-Mediated Modeling of Tumor Response to Vascular-Targeting Drugs -- Optimizing Chemotherapeutic Anti-Cancer Treatment and the Tumor Microenvironment: An Analysis of Mathematical Models -- Progress towards computational 3-D multicellular systems biology -- Index.
520 $a This edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment. Each chapter presents a different mathematical model designed to investigate the interactions between tumor cells and the surrounding stroma and stromal cells. The topics covered in this book include the quantitative image analysis of a tumor microenvironment, the microenvironmental barriers in oxygen and drug delivery to tumors, the development of tumor microenvironmental niches and sanctuaries, intravenous transport of the circulating tumor cells, the role of the tumor microenvironment in chemotherapeutic interventions, the interactions between tumor cells, the extracellular matrix, the interstitial fluid, and the immune and stromal cells. Mathematical models discussed here embrace both continuous and agent-based approaches, as well as mathematical frameworks of solid mechanics, fluid dynamics and optimal control theory. The topics in each chapter will be of interest to a biological community wishing to apply the mathematical methods to interpret their experimental data, and to a biomathematical audience interested in exploring how mathematical models can be used to address complex questions in cancer biology.
650 0 $a Cancer research. $3 1253664
650 0 $a Biomathematics. $3 527725
650 0 $a Biophysics. $3 581576
650 0 $a Biological physics. $3 1253579
650 1 4 $a Cancer Research. $3 668358
650 2 4 $a Mathematical and Computational Biology. $3 786706
650 2 4 $a Biological and Medical Physics, Biophysics. $3 1113305
700 1 $a Rejniak, Katarzyna A. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1114402
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319420219
776 0 8 $i Printed edition: $z 9783319420226
776 0 8 $i Printed edition: $z 9783319824802
830 0 $a Advances in Experimental Medicine and Biology, $x 0065-2598 ; $v 889 $3 1253792
856 4 0 $u https://doi.org/10.1007/978-3-319-42023-3
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)