S
Shawn L. Hervey-Jumper
Researcher at University of California, San Francisco
Publications - 210
Citations - 5494
Shawn L. Hervey-Jumper is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Medicine & Glioma. The author has an hindex of 24, co-authored 153 publications receiving 3269 citations. Previous affiliations of Shawn L. Hervey-Jumper include University of Michigan.
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Journal ArticleDOI
Electrical and synaptic integration of glioma into neural circuits
Humsa S. Venkatesh,Wade Morishita,Anna Geraghty,Dana Silverbush,Dana Silverbush,Shawn M. Gillespie,Marlene Arzt,Lydia T. Tam,Cedric Espenel,Anitha Ponnuswami,Lijun Ni,Pamelyn Woo,Kathryn R. Taylor,Amit Agarwal,Amit Agarwal,Aviv Regev,Aviv Regev,David Brang,Hannes Vogel,Shawn L. Hervey-Jumper,Dwight E. Bergles,Mario L. Suvà,Mario L. Suvà,Robert C. Malenka,Michelle Monje +24 more
TL;DR: It is shown that neuron and glioma interactions include electrochemical communication through bona fide AMPA receptor-dependent neuron–glioma synapses, which indicates that synaptic and electrical integration into neural circuits promotesglioma progression.
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Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy.
Daniel A. Orringer,Balaji Pandian,Yashar S. Niknafs,Todd C. Hollon,Julianne Boyle,Spencer Lewis,Mia Garrard,Shawn L. Hervey-Jumper,Hugh J. L. Garton,Cormac O. Maher,Jason Heth,Oren Sagher,D. Andrew Wilkinson,Matija Snuderl,Sriram Venneti,Shakti Ramkissoon,Kathryn McFadden,Amanda Fisher-Hubbard,Andrew P. Lieberman,Timothy D. Johnson,X. Sunney Xie,Jay Kenneth Trautman,Christian W. Freudiger,Sandra Camelo-Piragua +23 more
TL;DR: This work demonstrates the first application of SRS microscopy in the operating room by using a portable fibre-laser-based microscope and unprocessed specimens from 101 neurosurgical patients and builds and validated a multilayer perceptron based on quantified SRH image attributes that predicts brain-tumour subtype with 90% accuracy.
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Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
Todd C. Hollon,Balaji Pandian,Arjun R. Adapa,Esteban Urias,Akshay V. Save,Siri Sahib S Khalsa,Daniel G Eichberg,Randy S. D'Amico,Zia Farooq,Spencer Lewis,Petros Petridis,Tamara Marie,Ashish H. Shah,Hugh J. L. Garton,Cormac O. Maher,Jason Heth,Erin L. McKean,Stephen E. Sullivan,Shawn L. Hervey-Jumper,Shawn L. Hervey-Jumper,Parag G. Patil,B. Gregory Thompson,Oren Sagher,Guy M. McKhann,Ricardo J. Komotar,Michael E. Ivan,Matija Snuderl,Marc L. Otten,Timothy D. Johnson,Michael B. Sisti,Jeffrey N. Bruce,Karin M. Muraszko,Jay Kenneth Trautman,Christian W. Freudiger,Peter Canoll,Honglak Lee,Sandra Camelo-Piragua,Daniel A. Orringer,Daniel A. Orringer +38 more
TL;DR: In a multicenter, prospective clinical trial, it is demonstrated that CNN-based diagnosis of SRH images was noninferior to pathologist-based interpretation of conventional histologic images (overall accuracy, 94.6% versus 93.9%).
Journal ArticleDOI
Endothelial Cells Create a Stem Cell Niche in Glioblastoma by Providing NOTCH Ligands That Nurture Self-Renewal of Cancer Stem-Like Cells
Thant S. Zhu,Mark A. Costello,Caroline E. Talsma,Callie G. Flack,Jessica G. Crowley,Lisa L. Hamm,Xiaobing He,Shawn L. Hervey-Jumper,Jason Heth,Karin M. Muraszko,Francesco DiMeco,Angelo L. Vescovi,Xing Fan +12 more
TL;DR: These findings establish that NOTCH activation in GBM CSLCs is driven by juxtacrine signaling between tumor cells and their surrounding endothelial cells in the tumor microenvironment, suggesting that targeting both CSLC's and their niche may provide a novel strategy to deplete CS LCs and improve GBM treatment.
Journal ArticleDOI
Awake craniotomy to maximize glioma resection: methods and technical nuances over a 27-year period
Shawn L. Hervey-Jumper,Jing Li,Darryl Lau,Annette M. Molinaro,David W. Perry,Lingzhong Meng,Mitchel S. Berger +6 more
TL;DR: It is concluded that awake brain tumor surgery can be safely performed with extremely low complication and failure rates regardless of ASA classification; body mass index; smoking status; psychiatric or emotional history; seizure frequency and duration; and tumor site, size, and pathology.