Quantitative Visualization of Hypoxia and Proliferation Gradients Within Histological Tissue Sections

Mark Zaidi; Fred Fu; Dan Cojocari; Trevor D McKee; Bradly G Wouters

doi:10.3389/fbioe.2019.00397

Quantitative Visualization of Hypoxia and Proliferation Gradients Within Histological Tissue Sections

Front Bioeng Biotechnol. 2019 Dec 5:7:397. doi: 10.3389/fbioe.2019.00397. eCollection 2019.

Authors

Mark Zaidi^{1

2}, Fred Fu², Dan Cojocari¹, Trevor D McKee², Bradly G Wouters^{1

2}

Affiliations

¹ Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
² STTARR Innovation Centre, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.

Abstract

The formation of hypoxic microenvironments within solid tumors is known to contribute to radiation resistance, chemotherapy resistance, immune suppression, increased metastasis, and an overall poor prognosis. It is therefore crucial to understand the spatial and molecular mechanisms that contribute to tumor hypoxia formation to improve the efficacy of radiation treatment, develop hypoxia-directed therapies, and increase patient survival. The objective of this study is to present a number of complementary novel methods for quantifying tumor hypoxia and proliferation in multiplexed immunofluorescence images, especially in relation to the location of perfused blood vessels. A standard marker analysis strategy is to take a positive pixel count approach, in which a threshold for positive stain is used to compute a positive area fraction for hypoxia. This work is a reassessment of that approach, utilizing not only cell segmentation but also distance to nearest blood vessel in order to incorporate spatial information into the analysis. We describe a reproducible pipeline for the visualization and quantitative analysis of hypoxia using a vessel distance analysis approach. This methodological pipeline can serve to further elucidate the relationship between vessel distance and microenvironment-linked markers such as hypoxia and proliferation, can help to quantify parameters relating to oxygen consumption and hypoxic tolerance in tissues, as well as potentially serve as a hypothesis generating tool for future studies testing hypoxia-linked markers.

Keywords: biological gradient; digital pathology; distance mapping; hypoxia; image analysis; immunofluorescence; tissue cytometry; tumor microenvironment.