Integrating Multiscale Modeling with Drug Effects for Cancer Treatment

Cancer Informatics
Xiangfang L LiEdward R Dougherty

Abstract

In this paper, we review multiscale modeling for cancer treatment with the incorporation of drug effects from an applied system's pharmacology perspective. Both the classical pharmacology and systems biology are inherently quantitative; however, systems biology focuses more on networks and multi factorial controls over biological processes rather than on drugs and targets in isolation, whereas systems pharmacology has a strong focus on studying drugs with regard to the pharmacokinetic (PK) and pharmacodynamic (PD) relations accompanying drug interactions with multiscale physiology as well as the prediction of dosage-exposure responses and economic potentials of drugs. Thus, it requires multiscale methods to address the need for integrating models from the molecular levels to the cellular, tissue, and organism levels. It is a common belief that tumorigenesis and tumor growth can be best understood and tackled by employing and integrating a multifaceted approach that includes in vivo and in vitro experiments, in silico models, multiscale tumor modeling, continuous/discrete modeling, agent-based modeling, and multiscale modeling with PK/PD drug effect inputs. We provide an example application of multiscale modeling employing stoch...Continue Reading

References

Jul 19, 2002·American Journal of Medical Genetics·Alfred G Knudson
Mar 4, 2003·Nature Reviews. Molecular Cell Biology·Peter J Hunter, Thomas K Borg
Aug 28, 2003·Journal of Theoretical Biology·Yuri Mansury, Thomas S Deisboeck
Nov 11, 2003·Journal of the Neurological Sciences·Kristin R SwansonEllsworth C Alvord
Aug 30, 2005·Journal of Theoretical Biology·Chaitanya A Athale, Thomas S Deisboeck
Nov 12, 2005·Journal of Pharmacokinetics and Pharmacodynamics·Raymond MillerRichard L Lalonde
Jun 13, 2006·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Gernot Schaller, Michael Meyer-Hermann
Dec 25, 2007·Theoretical Biology & Medical Modelling·Zhihui WangThomas S Deisboeck
Feb 15, 2008·Nature Reviews. Cancer·Alexander R A Anderson, Vito Quaranta
May 15, 2008·Briefings in Bioinformatics·Peter J HunterPoul M F Nielsen
Jul 8, 2008·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Gernot PlankNatalia A Trayanova
Sep 17, 2008·Essays in Biochemistry·Eberhard O Voit
Apr 8, 2009·Genome Medicine·Aislyn D WistRavi Iyengar
Apr 8, 2009·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·Amina A QutubAleksander S Popel
Apr 14, 2009·Nature·Sabrina L SpencerPeter K Sorger
Jun 3, 2009·Cancer Research·Robert A GatenbyB Roy Frieden
Nov 3, 2009·Nature·Michael J KeiserBryan L Roth
Feb 18, 2010·Mathematics and Computers in Simulation·Le ZhangThomas S Deisboeck
Apr 22, 2010·Science Signaling·Seth I BergerRavi Iyengar
Apr 1, 2006·Proceedings of the IEEE·James B BassingthwaighteLes E Atlas
Jun 10, 2010·Clinical Pharmacology and Therapeutics·P KohlD Noble
Jun 22, 2010·Clinical Pharmacology and Therapeutics·J M BergP M Lyster
Sep 3, 2010·Nonlinearity·J S LowengrubV Cristini
Sep 11, 2010·Nature·Avigdor Eldar, Michael B Elowitz
Sep 14, 2010·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Lucas B EdelmanNathan D Price
Nov 11, 2010·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Katarzyna A Rejniak, Alexander R A Anderson
Dec 15, 2010·Mathematical Medicine and Biology : a Journal of the IMA·Zhihui WangThomas S Deisboeck
Feb 16, 2011·Current Topics in Medicinal Chemistry·Johan GabrielssonPiet H Van Der Graaf
Mar 19, 2011·Cell·Sabrina L Spencer, Peter K Sorger
Mar 23, 2011·Cellular and Molecular Bioengineering·V A Shiva Ayyadurai, C Forbes Dewey

❮ Previous
Next ❯

Citations


❮ Previous
Next ❯

Methods Mentioned

BETA
pharmacotherapy

Software Mentioned

IMENSE

Related Concepts

Related Feeds

Cancer Genomics (Keystone)

Cancer genomics approaches employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Discover the latest research using such technologies in this feed.