Guest Editors
George Zanazzi
Dartmouth-Hitchcock Medical Center
<p>Dr. George Zanazzi completed a Bachelor of Science in Biological Sciences at Stanford University and then worked in Dr. Jim Salzer’s laboratory at New York University Medical Center using cell culture systems and mouse models to study signals that underlie the development and dysfunction of myelinated axons in the peripheral nervous system. During an MD-PhD at Stony Brook University, he utilized optical, histological, ultrastructural, and electrophysiological techniques to examine signal transmission at high-output ribbon synapses in the zebrafish visual system. After completing anatomic pathology-neuropathology residency training at Columbia University-New York Presbyterian Hospital, he was an attending neuropathologist at Columbia for two years and then moved to Dartmouth-Hitchcock Medical Center. He is an assistant professor in the Department of Pathology and Laboratory Medicine, a Norris Cotton Cancer Center Investigator, and a member of the E.D.I.T. (Emerging Diagnostic and Investigative Technologies) Program. His research aims to understand the complex interactions between tumors and the nervous system to devise novel therapeutic strategies for cancer patients.</p>
Chun-Chieh Lin
Dartmouth-Hitchcock Medical Center
<p>Dr. Chun-Chieh Lin received his M.D. from Fu Jen Catholic University in Taiwan and obtained his PhD from Johns Hopkins University in Neuroscience in the year 2015. In the lab of Chris Potter, he characterized a novel pheromone signaling pathway, improved electrophysiological recording with fluorescence guidance, and developed a technique for in vivo swapping transgenic components (Homology-Assisted CRISPR Knockin, HACK). He later conducted his anatomic pathology/neuropathology training at Columbia University Medical Center (2016-2020), during which he began to investigate synergistic alternations in multiple cellular pathways in disease development. He is currently an assistant professor at Dartmouth-Hitchcock Medical Center.</p>
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.
