Morphologic and Molecular Aspects of Glioblastomas

Abstract

The definition of glioblastomas has continually evolved from a reliance on strict morphologic features to a combination of histologic and molecular criteria, as the understanding of the genetic basis of these tumors expands. Modern pathologic workup of glioblastomas includes intraoperative evaluations with tissue-sparing techniques, histologic assessment with immunohistochemical markers, and comprehensive molecular characterization aiming at personalized targeting of genetic abnormalities. Machine learning analysis of DNA methylation profiles is a breakthrough technology that has bolstered central nervous system tumor classification and discovery and is particularly beneficial for the diagnosis and subtyping of glioblastomas.