학술논문
An anatomic transcriptional atlas of human glioblastoma
Document Type
research-article
Author
Puchalski, Ralph B.; Shah, Nameeta; Miller, Jeremy; Dalley, Rachel; Nomura, Steve R.; Yoon, Jae-Guen; Smith, Kimberly A.; Lankerovich, Michael; Bertagnolli, Darren; Bickley, Kris; Boe, Andrew F.; Brouner, Krissy; Butler, Stephanie; Caldejon, Shiella; Chapin, Mike; Datta, Suvro; Dee, Nick; Desta, Tsega; Dolbeare, Tim; Dotson, Nadezhda; Ebbert, Amanda; Feng, David; Feng, Xu; Fisher, Michael; Gee, Garrett; Goldy, Jeff; Gourley, Lindsey; Gregor, Benjamin W.; Gu, Guangyu; Hejazinia, Nika; Hohmann, John; Hothi, Parvinder; Howard, Robert; Joines, Kevin; Kriedberg, Ali; Kuan, Leonard; Lau, Chris; Lee, Felix; Lee, Hwahyung; Lemon, Tracy; Long, Fuhui; Mastan, Naveed; Mott, Erika; Murthy, Chantal; Ngo, Kiet; Olson, Eric; Reding, Melissa; Riley, Zack; Rosen, David; Sandman, David; Shapovalova, Nadiya; Slaughterbeck, Clifford R.; Sodt, Andrew; Stockdale, Graham; Szafer, Aaron; Wakeman, Wayne; Wohnoutka, Paul E.; White, Steven J.; Marsh, Don; Rostomily, Robert C.; Ng, Lydia; Dang, Chinh; Jones, Allan; Keogh, Bart; Gittleman, Haley R.; Barnholtz-Sloan, Jill S.; Cimino, Patrick J.; Uppin, Megha S.; Keene, C. Dirk; Farrokhi, Farrokh R.; Lathia, Justin D.; Berens, Michael E.; Iavarone, Antonio; Bernard, Amy; Lein, Ed; Phillips, John W.; Rostad, Steven W.; Cobbs, Charles; Hawrylycz, Michael J.; Foltz, Greg D.
Source
Science, 2018 May 01. 360(6389), 660-663.
Subject
Language
English
ISSN
00368075
10959203
10959203
Abstract
Glioblastoma is an aggressive brain tumor that carries a poor prognosis. The tumor’s molecular and cellular landscapes are complex, and their relationships to histologic features routinely used for diagnosis are unclear.We present the Ivy Glioblastoma Atlas, an anatomically based transcriptional atlas of human glioblastoma that aligns individual histologic features with genomic alterations and gene expression patterns, thus assigning molecular information to the most important morphologic hallmarks of the tumor. The atlas and its clinical and genomic database are freely accessible online data resources that will serve as a valuable platform for future investigations of glioblastoma pathogenesis, diagnosis, and treatment.