scholarly journals The NADP+-dependent IDH1 mutation and its relevance for glioblastoma patient survival

2014 ◽  
Vol 2 (S1) ◽  
Author(s):  
Cornelis JF Van Noorden
2016 ◽  
Vol 18 (suppl_6) ◽  
pp. vi95-vi95
Author(s):  
Lijie Zhai ◽  
Matthew Genet ◽  
Erik Ladomersky ◽  
Kristen Lauing ◽  
Meijing Wu ◽  
...  

2018 ◽  
Vol 47 ◽  
pp. 168-173 ◽  
Author(s):  
Arian Lasocki ◽  
Frank Gaillard ◽  
Mark Tacey ◽  
Katharine Drummond ◽  
Stephen Stuckey

2016 ◽  
Author(s):  
Lijie Zhai ◽  
Matthew Genet ◽  
Erik Ladomersky ◽  
Kristen Lauing ◽  
Meijing Wu ◽  
...  

2021 ◽  
Author(s):  
Oliver Mrowczynski ◽  
Ae Lim Yang ◽  
Jason Liao ◽  
Sara Langan ◽  
Elias Rizk

Abstract PurposeGlioblastoma is a devastating malignancy with a dismal survival rate and median survival time of 14 months. Currently, the biomarkers for glioblastoma are mostly molecular and include EGFRvIII, ATRX, PTEN, IDH1, MGMT, and others. These prognostic tumor biomarkers are obtained through a surgical biopsy and thus not easily attainable. Clinicians would benefit from a robust, non-invasive, and readily available indicator for early diagnosis and accurate prognostication for glioblastoma patients. MethodsIn this study, we assessed whether specific patient symptoms could provide early diagnosis of glioblastoma. Further, if any patient symptomatology would provide clinicians with the ability to prognosticate patient survival more accurately. We retrospectively reviewed the clinical data for 218 patients. We determined whether symptoms including headache, weakness, seizure, memory loss/confusion, visual changes, speech changes, and loss of consciousness led to a patient being diagnosed earlier and if any of these symptoms predicted a diminished patient survival. ResultsOur study determined that weakness and memory loss/confusion were symptoms that predicted diminished survival, and weakness alone was the symptom that predicted earlier diagnosis. Conclusion: This study further elucidates the complexities of glioblastoma and provides clinicians with more data for their patients when discussing prognostication after diagnosis of glioblastoma.


Oncotarget ◽  
2017 ◽  
Vol 8 (30) ◽  
pp. 50117-50123 ◽  
Author(s):  
Peng-Fei Wang ◽  
Hong-Wang Song ◽  
Hong-Qing Cai ◽  
Ling-Wei Kong ◽  
Kun Yao ◽  
...  

2018 ◽  
Vol 138 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Oliver D. Mrowczynski ◽  
Alexandre J. Bourcier ◽  
Jason Liao ◽  
Sara T. Langan ◽  
Charles S. Specht ◽  
...  

2019 ◽  
Vol 13 ◽  
Author(s):  
Zeina A. Shboul ◽  
Mahbubul Alam ◽  
Lasitha Vidyaratne ◽  
Linmin Pei ◽  
Mohamed I. Elbakary ◽  
...  

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