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Physical oncology

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Physical oncology : a bench-to-bedside quantitative and predictive approach. / Frieboes, Hermann B.; Chaplain, Mark A. J.; Thompson, Alastair M.; Bearer, Elaine L.; Lowengrub, John S.; Cristini, Vittorio.

In: Cancer Research, Vol. 71, No. 2, 15.01.2011, p. 298-302.

Research output: Contribution to journalScientific review

Harvard

Frieboes, HB, Chaplain, MAJ, Thompson, AM, Bearer, EL, Lowengrub, JS & Cristini, V 2011, 'Physical oncology: a bench-to-bedside quantitative and predictive approach' Cancer Research, vol 71, no. 2, pp. 298-302.

APA

Frieboes, H. B., Chaplain, M. A. J., Thompson, A. M., Bearer, E. L., Lowengrub, J. S., & Cristini, V. (2011). Physical oncology: a bench-to-bedside quantitative and predictive approach. Cancer Research, 71(2), 298-302doi: 10.1158/0008-5472.CAN-10-2676

Vancouver

Frieboes HB, Chaplain MAJ, Thompson AM, Bearer EL, Lowengrub JS, Cristini V. Physical oncology: a bench-to-bedside quantitative and predictive approach. Cancer Research. 2011 Jan 15;71(2):298-302.

Author

Frieboes, Hermann B.; Chaplain, Mark A. J.; Thompson, Alastair M.; Bearer, Elaine L.; Lowengrub, John S.; Cristini, Vittorio / Physical oncology : a bench-to-bedside quantitative and predictive approach.

In: Cancer Research, Vol. 71, No. 2, 15.01.2011, p. 298-302.

Research output: Contribution to journalScientific review

Bibtex - Download

@article{4abe88fc3a034e79ba97bdfed0cd50bb,
title = "Physical oncology",
author = "Frieboes, {Hermann B.} and Chaplain, {Mark A. J.} and Thompson, {Alastair M.} and Bearer, {Elaine L.} and Lowengrub, {John S.} and Vittorio Cristini",
year = "2011",
volume = "71",
number = "2",
pages = "298--302",
journal = "Cancer Research",
issn = "0008-5472",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Physical oncology

T2 - a bench-to-bedside quantitative and predictive approach

A1 - Frieboes,Hermann B.

A1 - Chaplain,Mark A. J.

A1 - Thompson,Alastair M.

A1 - Bearer,Elaine L.

A1 - Lowengrub,John S.

A1 - Cristini,Vittorio

AU - Frieboes,Hermann B.

AU - Chaplain,Mark A. J.

AU - Thompson,Alastair M.

AU - Bearer,Elaine L.

AU - Lowengrub,John S.

AU - Cristini,Vittorio

PY - 2011/1/15

Y1 - 2011/1/15

N2 - <p>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. Cancer Res; 71(2); 298-302. (C) 2011 AACR.</p>

AB - <p>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. Cancer Res; 71(2); 298-302. (C) 2011 AACR.</p>

KW - NONLINEAR SIMULATION

KW - MATHEMATICAL-MODELS

KW - TUMOR-GROWTH

KW - COMPUTER-SIMULATION

KW - INVASION

KW - ANGIOGENESIS

KW - MORPHOLOGY

KW - EVOLUTION

KW - CELLS

U2 - 10.1158/0008-5472.CAN-10-2676

DO - 10.1158/0008-5472.CAN-10-2676

M1 - Scientific review

JO - Cancer Research

JF - Cancer Research

SN - 0008-5472

IS - 2

VL - 71

SP - 298

EP - 302

ER -

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