Literature DB >> 21224346

Physical oncology: a bench-to-bedside quantitative and predictive approach.

Hermann B Frieboes1, Mark A J Chaplain, Alastair M Thompson, Elaine L Bearer, John S Lowengrub, Vittorio Cristini.   

Abstract

Cancer models relating basic science to clinical care in oncology may fail to address the nuances of tumor behavior and therapy, as in the case, discussed herein, of the complex multiscale dynamics leading to the often-observed enhanced invasiveness, paradoxically induced by the very antiangiogenic therapy designed to destroy the tumor. Studies would benefit from approaches that quantitatively link the multiple physical and temporal scales from molecule to tissue in order to offer outcome predictions for individual patients. Physical oncology is an approach that applies fundamental principles from the physical and biological sciences to explain certain cancer behaviors as observable characteristics arising from the underlying physical and biochemical events. For example, the transport of oxygen molecules through tissue affects phenotypic characteristics such as cell proliferation, apoptosis, and adhesion, which in turn underlie the patient-scale tumor growth and invasiveness. Our review of physical oncology illustrates how tumor behavior and treatment response may be a quantifiable function of marginally stable molecular and/or cellular conditions modulated by inhomogeneity. By incorporating patient-specific genomic, proteomic, metabolomic, and cellular data into multiscale physical models, physical oncology could complement current clinical practice through enhanced understanding of cancer behavior, thus potentially improving patient survival.
© 2011 AACR.

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Year:  2011        PMID: 21224346      PMCID: PMC3073485          DOI: 10.1158/0008-5472.CAN-10-2676

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  23 in total

1.  Nonlinear simulation of tumor necrosis, neo-vascularization and tissue invasion via an adaptive finite-element/level-set method.

Authors:  X Zheng; S M Wise; V Cristini
Journal:  Bull Math Biol       Date:  2005-03       Impact factor: 1.758

2.  Inhibitory effects of combinations of HER-2/neu antibody and chemotherapeutic agents used for treatment of human breast cancers.

Authors:  M Pegram; S Hsu; G Lewis; R Pietras; M Beryt; M Sliwkowski; D Coombs; D Baly; F Kabbinavar; D Slamon
Journal:  Oncogene       Date:  1999-04-01       Impact factor: 9.867

3.  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

4.  Multiscale modelling and nonlinear simulation of vascular tumour growth.

Authors:  Paul Macklin; Steven McDougall; Alexander R A Anderson; Mark A J Chaplain; Vittorio Cristini; John Lowengrub
Journal:  J Math Biol       Date:  2008-09-10       Impact factor: 2.259

5.  Predicting drug pharmacokinetics and effect in vascularized tumors using computer simulation.

Authors:  John P Sinek; Sandeep Sanga; Xiaoming Zheng; Hermann B Frieboes; Mauro Ferrari; Vittorio Cristini
Journal:  J Math Biol       Date:  2008-09-10       Impact factor: 2.259

Review 6.  Integrative mathematical oncology.

Authors:  Alexander R A Anderson; Vito Quaranta
Journal:  Nat Rev Cancer       Date:  2008-03       Impact factor: 60.716

Review 7.  Towards a multiscale model of colorectal cancer.

Authors:  Ingeborg M M van Leeuwen; Carina M Edwards; Mohammad Ilyas; Helen M Byrne
Journal:  World J Gastroenterol       Date:  2007-03-07       Impact factor: 5.742

8.  Angiogenesis and vascular remodelling in normal and cancerous tissues.

Authors:  Markus R Owen; Tomás Alarcón; Philip K Maini; Helen M Byrne
Journal:  J Math Biol       Date:  2008-10-22       Impact factor: 2.259

Review 9.  Design principles of biochemical oscillators.

Authors:  Béla Novák; John J Tyson
Journal:  Nat Rev Mol Cell Biol       Date:  2008-10-30       Impact factor: 94.444

10.  Prediction of drug response in breast cancer using integrative experimental/computational modeling.

Authors:  Hermann B Frieboes; Mary E Edgerton; John P Fruehauf; Felicity R A J Rose; Lisa K Worrall; Robert A Gatenby; Mauro Ferrari; Vittorio Cristini
Journal:  Cancer Res       Date:  2009-04-14       Impact factor: 12.701

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  25 in total

1.  Unraveling the complex regulatory relationships between metabolism and signal transduction in cancer.

Authors:  Michelle L Wynn; Sofia D Merajver; Santiago Schnell
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

2.  Predicting breast cancer response to neoadjuvant chemotherapy based on tumor vascular features in needle biopsies.

Authors:  Terisse A Brocato; Ursa Brown-Glaberman; Zhihui Wang; Reed G Selwyn; Colin M Wilson; Edward F Wyckoff; Lesley C Lomo; Jennifer L Saline; Anupama Hooda-Nehra; Renata Pasqualini; Wadih Arap; C Jeffrey Brinker; Vittorio Cristini
Journal:  JCI Insight       Date:  2019-03-05

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

4.  Evaluation of uptake and distribution of gold nanoparticles in solid tumors.

Authors:  Christopher G England; André M Gobin; Hermann B Frieboes
Journal:  Eur Phys J Plus       Date:  2015-11-19       Impact factor: 3.911

5.  Transport properties of pancreatic cancer describe gemcitabine delivery and response.

Authors:  Eugene J Koay; Mark J Truty; Vittorio Cristini; Ryan M Thomas; Rong Chen; Deyali Chatterjee; Ya'an Kang; Priya R Bhosale; Eric P Tamm; Christopher H Crane; Milind Javle; Matthew H Katz; Vijaya N Gottumukkala; Marc A Rozner; Haifa Shen; Jeffery E Lee; Huamin Wang; Yuling Chen; William Plunkett; James L Abbruzzese; Robert A Wolff; Gauri R Varadhachary; Mauro Ferrari; Jason B Fleming
Journal:  J Clin Invest       Date:  2014-03-10       Impact factor: 14.808

6.  Model of vascular desmoplastic multispecies tumor growth.

Authors:  Chin F Ng; Hermann B Frieboes
Journal:  J Theor Biol       Date:  2017-05-18       Impact factor: 2.691

7.  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

8.  The effects of cell compressibility, motility and contact inhibition on the growth of tumor cell clusters using the Cellular Potts Model.

Authors:  Jonathan F Li; John Lowengrub
Journal:  J Theor Biol       Date:  2013-11-06       Impact factor: 2.691

9.  The effect of interstitial pressure on tumor growth: coupling with the blood and lymphatic vascular systems.

Authors:  Min Wu; Hermann B Frieboes; Steven R McDougall; Mark A J Chaplain; Vittorio Cristini; John Lowengrub
Journal:  J Theor Biol       Date:  2012-12-07       Impact factor: 2.691

10.  Modeling iontophoretic drug delivery in a microfluidic device.

Authors:  Maryam Moarefian; Rafael V Davalos; Danesh K Tafti; Luke E Achenie; Caroline N Jones
Journal:  Lab Chip       Date:  2020-09-01       Impact factor: 6.799

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