Characterising the tumour morphological response to therapeutic intervention: an ex vivo model

Anne Savage, Elad Katz, Alistair Eberst, Ruth E. Falconer, Alasdair N. Houston, David J. Harrison, James L. Bown

Research output: Contribution to journalArticle

4 Citations (Scopus)
33 Downloads (Pure)

Abstract

In cancer, morphological assessment of histological tissue samples is a fundamental part of both diagnosis and prognosis. Image analysis offers opportunities to support that assessment through quantitative metrics of morphology. Generally, morphometric analysis is carried out on two dimensional tissue section data and so only represents a small fraction of any tumour. We present a novel application of three-dimensional (3D) morphometrics for 3D imaging data obtained from tumours grown in a culture model. Minkowski functionals, a set of measures that characterise geometry and topology in n-dimensional space, are used to quantify tumour topology in the absence of and in response to therapeutic intervention. These measures are used to stratify the morphological response of tumours to therapeutic intervention. Breast tumours are characterised by estrogen receptor (ER) status, human epidermal growth factor receptor (HER)2 status and tumour grade. Previously, we have shown that ER status is associated with tumour volume in response to tamoxifen treatment ex vivo. Here, HER2 status is found to predict the changes in morphology other than volume as a result of tamoxifen treatment ex vivo. Finally, we show the extent to which Minkowski functionals might be used to predict tumour grade.Minkowski functionals are generalisable to any 3D data set, including in vivo and cellular systems. This quantitative topological analysis can provide a valuable link among biomarkers, drug intervention and tumour morphology that is complementary to existing, non-morphological measures of tumour response to intervention and could ultimately inform patient treatment.
Original languageEnglish
Pages (from-to)252-260
Number of pages9
JournalDisease Models & Mechanisms
Volume6
Issue number1
Early online date24 Dec 2012
DOIs
Publication statusPublished - Jan 2013

Fingerprint Dive into the research topics of 'Characterising the tumour morphological response to therapeutic intervention: an ex vivo model'. Together they form a unique fingerprint.

  • Cite this