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Methods Collections

Glioma diagnostics and research

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Methods Collections
Glioma diagnostics and research

Guest Editors
George Zanazzi

Dartmouth-Hitchcock Medical Center

Dr. George Zanazzi completed a Bachelor of Science in Biological Sciences at Stanford University and then worked in…

Chun-Chieh Lin

Dartmouth-Hitchcock Medical Center

Dr. Chun-Chieh Lin received his M.D. from Fu Jen Catholic University in Taiwan and obtained his Ph.D. from Johns Hopkins…

Collection Overview

Glioma is the most common neoplasm that arises within the brain. There is a wide spectrum of disease ranging from slow-growing, well-circumscribed tumors such as pilocytic astrocytoma to highly aggressive, infiltrative tumors such as glioblastoma. Genome-wide bulk sequencing approaches, such as targeted massive parallel sequencing, have provided important diagnostic and prognostic information for the accurate classification of gliomas. This collection will highlight some of the techniques utilized in the diagnostic classification of these tumors. Despite remarkable advances in our understanding of the genomic architecture of gliomas, a significant gap exists regarding therapeutic efficacy. Multiplexed imaging of gliomas has revealed local interactions between tumor cells and the nervous system microenvironment, that may point to some therapeutic vulnerabilities. In addition to featuring novel techniques such as digital spatial profiling, that are uncovering these interactions in human surgical resection specimens, this collection will also highlight a variety of in vivo and in vitro glioma models that will provide a better understanding towards the pathogenesis of glioma.

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