dc.contributor.author | O'Connor, JPB | |
dc.contributor.author | Boult, JKR | |
dc.contributor.author | Jamin, Y | |
dc.contributor.author | Babur, M | |
dc.contributor.author | Finegan, KG | |
dc.contributor.author | Williams, KJ | |
dc.contributor.author | Little, RA | |
dc.contributor.author | Jackson, A | |
dc.contributor.author | Parker, GJM | |
dc.contributor.author | Reynolds, AR | |
dc.contributor.author | Waterton, JC | |
dc.contributor.author | Robinson, SP | |
dc.date.accessioned | 2020-06-26T08:20:44Z | |
dc.date.issued | 2015-11-19 | |
dc.identifier.citation | Cancer research, 2016, 76 (4), pp. 787 - 795 | |
dc.identifier.issn | 0008-5472 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3773 | |
dc.identifier.eissn | 1538-7445 | |
dc.identifier.doi | 10.1158/0008-5472.can-15-2062 | |
dc.description.abstract | There is a clinical need for noninvasive biomarkers of tumor hypoxia for prognostic and predictive studies, radiotherapy planning, and therapy monitoring. Oxygen-enhanced MRI (OE-MRI) is an emerging imaging technique for quantifying the spatial distribution and extent of tumor oxygen delivery in vivo. In OE-MRI, the longitudinal relaxation rate of protons (ΔR1) changes in proportion to the concentration of molecular oxygen dissolved in plasma or interstitial tissue fluid. Therefore, well-oxygenated tissues show positive ΔR1. We hypothesized that the fraction of tumor tissue refractory to oxygen challenge (lack of positive ΔR1, termed "Oxy-R fraction") would be a robust biomarker of hypoxia in models with varying vascular and hypoxic features. Here, we demonstrate that OE-MRI signals are accurate, precise, and sensitive to changes in tumor pO2 in highly vascular 786-0 renal cancer xenografts. Furthermore, we show that Oxy-R fraction can quantify the hypoxic fraction in multiple models with differing hypoxic and vascular phenotypes, when used in combination with measurements of tumor perfusion. Finally, Oxy-R fraction can detect dynamic changes in hypoxia induced by the vasomodulator agent hydralazine. In contrast, more conventional biomarkers of hypoxia (derived from blood oxygenation-level dependent MRI and dynamic contrast-enhanced MRI) did not relate to tumor hypoxia consistently. Our results show that the Oxy-R fraction accurately quantifies tumor hypoxia noninvasively and is immediately translatable to the clinic. | |
dc.format | Print-Electronic | |
dc.format.extent | 787 - 795 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | AMER ASSOC CANCER RESEARCH | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Neoplasms | |
dc.subject | Oxygen | |
dc.subject | Magnetic Resonance Imaging | |
dc.subject | Radiography | |
dc.subject | Prognosis | |
dc.subject | Cell Hypoxia | |
dc.title | Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2015-11-09 | |
rioxxterms.versionofrecord | 10.1158/0008-5472.can-15-2062 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2016-02 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Cancer research | |
pubs.issue | 4 | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams/Tumour Biology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Pre-Clinical MRI | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Quantitative Biomedical Imaging | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams/Tumour Biology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Pre-Clinical MRI | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Quantitative Biomedical Imaging | |
pubs.publication-status | Published | |
pubs.volume | 76 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Tumour Biology | |
icr.researchteam | Pre-Clinical MRI | |
icr.researchteam | Quantitative Biomedical Imaging | |
dc.contributor.icrauthor | O'Connor, James Patrick | |
dc.contributor.icrauthor | Boult, Jessica | |
dc.contributor.icrauthor | Jamin, Yann | |
dc.contributor.icrauthor | Reynolds, Andrew | |
dc.contributor.icrauthor | Robinson, Simon | |