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Genomic Correlates of Disease Progression and Treatment Response in Prospectively Characterized Gliomas.

Philip JonssonAndrew L LinRobert J YoungNatalie M DiStefanoDavid M HymanBob T LiMichael F BergerAhmet ZehirMarc LadanyiDavid B SolitAngela G ArnoldZsofia K StadlerDiana MandelkerMichael E GoldbergJuliann ChmieleckiMaryam PourmalekiShahiba Q OgilvieShweta S ChavanAndrew T McKeownMalbora ManneAllison HydeKathryn BealT Jonathan YangCraig P NolanElena PentsovaAntonio OmuroIgor T GavrilovicThomas J KaleyEli L DiamondJacqueline B StoneChristian GrommesAdrienne A BoireMariza DarasAnna F PiotrowskiAlexandra M MillerPhilip H GutinTimothy A ChanViviane S TabarCameron W BrennanMarc RosenblumLisa M DeAngelisIngo K MellinghoffBarry S Taylor
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2019)
These data reveal genomic correlates of disease progression and treatment response in diverse types of glioma and highlight the potential utility of incorporating genomic information into the clinical decision-making for patients with glioma.
Keyphrases
  • copy number
  • decision making
  • high grade
  • genome wide
  • electronic health record
  • big data
  • risk assessment
  • gene expression
  • climate change
  • deep learning
  • artificial intelligence