Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Summary

This protocol was developed to quantitatively identify tumor microenvironment components in glioblastoma patient resections using chromogenic immunohistochemistry and ImageJ.

Abstract

With the growing interest in the tumor microenvironment, we set out to develop a method to specifically determine the microenvironment components within patient samples of glioblastoma, the deadliest and most invasive brain cancer. Not only are quantitative methods beneficial for accurately describing diseased tissues, they can also potentially contribute to more accurate prognosis, diagnosis, and the development of tissue-engineered systems and replacements. In glioblastoma, glial cells, such as microglia and astrocytes, have been independently correlated with poor prognosis based on pathologist grading. However, the state of these cells and other glial cell components has not been well-described quantitatively. This can be difficult due to the large processes that mark these glial cells. Furthermore, most histological analyses focus on the overall tissue sample or only within the bulk of the tumor, as opposed to delineating quantifications based on regions within the highly heterogeneous tissue. Here, we describe a method for identifying and quantitatively analyzing the populations of glial cells within the tumor bulk and adjacent regions of tumor resections from glioblastoma patients. We used chromogenic immunohistochemistry to identify the glial cell populations in patient tumor resections and ImageJ to analyze percent coverage of staining for each glial population. With these techniques we are able to better describe the glial cells throughout regions of the glioma tumor microenvironment.

Introduction

Glioblastoma (GBM), the most common and malignant brain cancer, is characterized by highly diffuse invasion from the primary tumor bulk into the surrounding healthy brain parenchyma^1,2. This diffuse invasion makes the tumor particularly difficult to resect fully, and the invading cancer cells that remain post-therapy is the most common reason for inevitable recurrence^2,3,4. Previously, we found inhibiting the diffuse glioma cell invasion to be therapeutically beneficial⁵, however little is know....

Protocol

This protocol identifies cellular components in formalin-fixed paraffin embedded (FFPE) samples, as is typical for banked clinical patient samples. Paraffin embedding allows for the best maintenance of cellular and tissue morphology as well as has better longevity of sections. The samples used for this analysis were accessed through the University of Virginia Biorepository and Tissue Research Facility. Patient samples were selected by a neuropathologist based on a definitive diagnosis of glioblastoma (astrocytoma, WHO grade IV) who had completed tumor resections at the University of Virginia between 2010 and 2013, and were de-identified prior to this analysis

Results

For this analysis, two regions of interests within our tumor resections - the primary tumor bulk and the adjacent regions, primarily composed of healthy tissue with diffuse invading cancer cells (Figure 1A, 1B) - were identified by collaborating neuropathologists on hematoxylin and eosin stained patient samples. Within each patient sample, positive staining for astrocytes (Figure 1C), microglia (

Discussion

Our method proposed here is a quantitative approach to analyzing histological samples stained using traditional chromogenic immunohistochemistry. Current methodology for this type of analysis includes similar staining protocols followed by grading by independent pathologists. This method has been reliable, yet for a number of applications, a more precise understanding of the cellular make-up is required, such as better understanding of the heterogeneity associated with tumors and accurate recapitulation of tumors for in .......

Materials

Name	Company	Catalog Number	Comments
Xylene	Fisher Chemical	X3P
Ethanol
High pH antigen unmasking solution	Vector Labs	H-3301
TBS
Triton-X	Amresco	9002-93-1
Horse serum
Anti-ALDH1L1	abcam	ab56777
Anti-Iba1	abcam	ab5076
Anti-Oligodendrocyte Specific Protein1	abcam	ab53041
ImmPRESS anti-goat	Vector Labs	MP-7405
ImmPRESS Universal (anti-mouse/rabbit)	Vector Labs	MP-7500
Hydrogen peroxide	Sigma Aldrich	216763
ImmPACT DAB substrate	Vector Labs	SK-4105
Hematoxylin counterstain	ThermoScientific	72404
Histochoice Mounting Media	Amresco	H157-475
Aperio Scanscope	Leica Biosystems
Image Scanscope	Leica Biosystems
Super HT PAP Pen	Research Products International	195506