Abstract

Oxygen plays a central role in cellular metabolism, in both healthy and tumour tissue. The presence and concentration of molecular oxygen in tumours has a substantial effect on both radiotherapy response and tumour evolution, and as a result the oxygen micro-environment is an area of intense research interest. Multi-cellular tumour spheroids closely mimic real avascular tumours, and in particular they exhibit physiologically relevant heterogeneous oxygen distribution. This property has made them a vital part of in vitro experimentation. For ideal spheroids, their heterogeneous oxygen distributions can be predicted from theory, allowing determination of cellular oxygen consumption rate (OCR) and anoxic extent. However, experimental tumour spheroids often depart markedly from perfect sphericity. There has been little consideration of this reality. To date, the question of how far an ellipsoid can diverge from perfect sphericity before spherical assumptions break down remains unanswered. In this work, we derive equations governing oxygen distribution (and, more generally, nutrient and drug distribution) in both prolate and oblate tumour ellipsoids, and quantify the theoretical limits of the assumption that the spheroid is a perfect sphere. Results of this analysis yield new methods for quantifying OCR in ellipsoidal spheroids, and how this can be applied to markedly increase experimental throughput and quality.

Highlights

  • Oxygen plays a seminal role in cancer treatment and patient prognosis

  • This oxygen enhancement ratio is seen in emerging modalities such as proton therapy [3,4], raising the tantalizing prospect of dose painting, where dose is selectively boosted to hypoxic regions to boost therapy response [5]

  • Real spheroids tend to depart from perfect sphericity to varying extents

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Summary

Introduction

The presence of molecular oxygen in a tumour markedly increases radio-sensitivity, with well-oxygenated regions responding to radiotherapy by up to a factor of 3 relative to anoxic sub-volumes [1,2]. The basic idea underpinning dose painting has been discussed for over a decade, but application has been hampered by difficulty in non-invasive hypoxia imaging. Methods such as F-MISO PET (fluoromisonidazole positron emission tomography) have a maximum resolution in the millimetre regime, while oxygenation varies over a micrometre scale. Mathematical modelling is vital for bridging the resolution gap [6]

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