Automated image analysis of intra-tumoral and peripheral endocrine organ vascular bed regression using ‘Fibrelength’ as a novel structural biomarker

The study of vascular modulation has received a great deal of attention in recent years as knowledge has increased around the role of angiogenesis within disease contexts such as cancer. Despite rapidly expanding insights into the molecular processes involved and the concomitant generation of a number of anticancer vascular modulating chemotherapeutics, techniques used in the measurement of structural vascular change have advanced more modestly, particularly with regard to the preclinical quantification of off-target vascular regression within systemic, notably endocrine, blood vessels. Such changes translate into a number of major clinical side effects and there remains a need for improved preclinical screening and analysis. Here we present the generation of a novel structural biomarker, which can be incorporated into a number of contemporary image analysis platforms and used to compare tumour versus systemic host tissue vascularity. By contrasting the measurements obtained, the preclinical efficacy of vascular modulating chemotherapies can be evaluated in light of the predicted therapeutic window. Copyright © 2017 John Wiley & Sons, Ltd.