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dc.contributor.authorWoolf, DK
dc.contributor.authorLi, SP
dc.contributor.authorDetre, S
dc.contributor.authorLiu, A
dc.contributor.authorGogbashian, A
dc.contributor.authorSimcock, IC
dc.contributor.authorStirling, J
dc.contributor.authorKosmin, M
dc.contributor.authorCook, GJ
dc.contributor.authorSiddique, M
dc.contributor.authorDowsett, M
dc.contributor.authorMakris, A
dc.contributor.authorGoh, V
dc.date.accessioned2019-07-04T12:51:33Z
dc.date.issued2019-01
dc.identifier.citationBiomarkers in cancer, 2019, 11 pp. 1179299X19851513 - ?
dc.identifier.issn1179-299X
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3282
dc.identifier.eissn1179-299X
dc.identifier.doi10.1177/1179299x19851513
dc.description.abstractBackground Tumour heterogeneity is considered an important mechanism of treatment failure. Imaging-based assessment of tumour heterogeneity is showing promise but the relationship between these mathematically derived measures and accepted 'gold standards' of tumour biology such as immunohistochemical measures is not established.Methods A total of 20 women with primary breast cancer underwent a research dynamic contrast-enhanced computed tomography prior to treatment with data being available for 15 of these. Texture analysis was performed of the primary tumours to extract 13 locoregional and global parameters. Immunohistochemical analysis associations were assessed by the Spearman rank correlation.Results Hypoxia-inducible factor-1α was correlated with first-order kurtosis ( r  = -0.533, P  = .041) and higher order neighbourhood grey-tone difference matrix coarseness ( r  = 0.54, P  = .038). Vascular maturity-related smooth muscle actin was correlated with higher order grey-level run-length long-run emphasis ( r  = -0.52, P  = .047), fractal dimension ( r  = 0.613, P  = .015), and lacunarity ( r  = -0.634, P  = .011). Micro-vessel density, reflecting angiogenesis, was also associated with lacunarity ( r  = 0.547, P  = .035).Conclusions The associations suggest a biological basis for these image-based heterogeneity features and support the use of imaging, already part of standard care, for assessing intratumoural heterogeneity.
dc.formatElectronic-eCollection
dc.format.extent1179299X19851513 - ?
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleAssessment of the Spatial Heterogeneity of Breast Cancers: Associations Between Computed Tomography and Immunohistochemistry.
dc.typeJournal Article
dcterms.dateAccepted2019-04-23
rioxxterms.versionofrecord10.1177/1179299x19851513
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc/4.0
rioxxterms.licenseref.startdate2019-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfBiomarkers in cancer
pubs.notesNot 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/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology/Endocrinology (hon.)
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/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology/Endocrinology (hon.)
pubs.publication-statusPublished
pubs.volume11
pubs.embargo.termsNot known
icr.researchteamEndocrinologyen_US
dc.contributor.icrauthorDowsett, Mitchen


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