Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

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 describi...

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Bibliographic Details
Published in:Journal of visualized experiments 2017-07 (125)
Main Authors: Yuan, Jessica X, Munson, Jennifer M
Format: Article
Language:English
Subjects:
Aldehyde Dehydrogenase - immunology
Aldehyde Dehydrogenase - metabolism
Astrocytes - pathology
Brain Neoplasms - pathology
Brain Neoplasms - surgery
Claudins - metabolism
Glioblastoma - pathology
Glioblastoma - surgery
Humans
Image Processing, Computer-Assisted
Immunohistochemistry - methods
Medicine
Microglia - pathology
Neuroglia - pathology
Tumor Microenvironment
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Summary: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.
ISSN:1940-087X
1940-087X
DOI:10.3791/56025