title: Physical oncology: a bench-to-bedside quantitative and predictive approach.
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.
authors.affiliation: Department of Bioengineering and James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky 40208, USA. hbfrie01@louisville.edu
authors.forename: Hermann B
authors.initials: HB
authors.lastname: Frieboes
authors.forename: Mark A J
authors.initials: MA
authors.lastname: Chaplain
authors.forename: Alastair M
authors.initials: AM
authors.lastname: Thompson
authors.forename: Elaine L
authors.initials: EL
authors.lastname: Bearer
authors.forename: John S
authors.initials: JS
authors.lastname: Lowengrub
authors.forename: Vittorio
authors.initials: V
authors.lastname: Cristini
mesh_terms: D004059:Diffusion of Innovation; D005069:Evaluation Studies as Topic; D006801:Humans; D008495:Medical Oncology / Q000379:methods*; D008954:Models, Biological; D009369:Neoplasms / Q000175:diagnosis / Q000473:pathology* / Q000628:therapy; D011237:Predictive Value of Tests; D057170:Translational Research, Biomedical