Matches in SemOpenAlex for { <https://semopenalex.org/work/W2275593142> ?p ?o ?g. }
- W2275593142 endingPage "5041" @default.
- W2275593142 startingPage "5030" @default.
- W2275593142 abstract "// Rui-qi Zhang 1, 2, 4, * , Zhifeng Shi 4, * , Hong Chen 5 , Nellie Yuk-Fei Chung 1, 2 , Zi Yin 1, 2 , Kay Ka-Wai Li 1, 2 , Danny Tat-Ming Chan 3 , Wai Sang Poon 3 , Jinsong Wu 4 , Liangfu Zhou 4 , Aden Ka-yin Chan 1, 2 , Ying Mao 4 , Ho-Keung Ng 1, 2 1 Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China 2 Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong, China 3 Neurosurgery Division, Department of Surgery, Chinese University of Hong Kong, Hong Kong, China 4 Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China 5 Department of Neuropathology, Huashan Hospital, Fudan University, Shanghai, China * These authors have contributed equally to this work Correspondence to: Aden Ka-yin Chan, e-mail: adenchan@cuhk.edu. hk Ying Mao, e-mail: yingmao168@hotmail.com Ho-Keung Ng, e-mail: hkng@cuhk.edu.hk Keywords: glioblastoma, IDH1, BRAF, H3F3A, prognostication Received: June 14, 2015 Accepted: September 25, 2015 Published: October 05, 2015 ABSTRACT While the predominant elderly and the pediatric glioblastomas have been extensively investigated, young adult glioblastomas were understudied. In this study, we sought to stratify young adult glioblastomas by BRAF , H3F3A and IDH1 mutations and examine the clinical relevance of the biomarkers. In 107 glioblastomas aged from 17 to 35 years, mutually exclusive BRAF -V600E (15%), H3F3A -K27M (15.9%), H3F3A -G34R/V (2.8%) and IDH1 -R132H (16.8%) mutations were identified in over half of the cases. EGFR amplification and TERT p mutation were only detected in 3.7% and 8.4% in young adult glioblastomas, respectively. BRAF -V600E identified a clinically favorable subset of glioblastomas with younger age, frequent CDKN2A homozygous deletion, and was more amendable to surgical resection. H3F3A -K27M mutated glioblastomas were tightly associated with midline locations and showed dismal prognosis. IDH1 -R132H was associated with older age and favorable outcome. Interestingly, tumors with positive PDGFRA immunohistochemical expression exhibited poorer prognosis and identified an aggressive subset of tumors among K27M mutated glioblastomas. Combining BRAF , H3F3A and IDH1 mutations allowed stratification of young adult glioblastomas into four prognostic subgroups. In summary, our study demonstrates the clinical values of stratifying young adult glioblastomas with BRAF , H3F3A and IDH1 mutations, which has important implications in refining prognostic classification of glioblastomas." @default.
- W2275593142 created "2016-06-24" @default.
- W2275593142 creator A5006836966 @default.
- W2275593142 creator A5011184859 @default.
- W2275593142 creator A5019896088 @default.
- W2275593142 creator A5022662736 @default.
- W2275593142 creator A5029912336 @default.
- W2275593142 creator A5048267225 @default.
- W2275593142 creator A5062001095 @default.
- W2275593142 creator A5063624341 @default.
- W2275593142 creator A5065549183 @default.
- W2275593142 creator A5065724609 @default.
- W2275593142 creator A5069813497 @default.
- W2275593142 creator A5075442335 @default.
- W2275593142 creator A5079077532 @default.
- W2275593142 date "2015-10-05" @default.
- W2275593142 modified "2023-10-04" @default.
- W2275593142 title "Biomarker-based prognostic stratification of young adult glioblastoma" @default.
- W2275593142 cites W1754241820 @default.
- W2275593142 cites W1893588436 @default.
- W2275593142 cites W1970654034 @default.
- W2275593142 cites W1981188923 @default.
- W2275593142 cites W1989246074 @default.
- W2275593142 cites W2002282120 @default.
- W2275593142 cites W2029995169 @default.
- W2275593142 cites W2030209169 @default.
- W2275593142 cites W2030664470 @default.
- W2275593142 cites W2040584053 @default.
- W2275593142 cites W2040827479 @default.
- W2275593142 cites W2044351212 @default.
- W2275593142 cites W2055340778 @default.
- W2275593142 cites W2057308377 @default.
- W2275593142 cites W2059624809 @default.
- W2275593142 cites W2062062519 @default.
- W2275593142 cites W2071828774 @default.
- W2275593142 cites W2075297104 @default.
- W2275593142 cites W2079949890 @default.
- W2275593142 cites W2086163049 @default.
- W2275593142 cites W2096287682 @default.
- W2275593142 cites W2100901335 @default.
- W2275593142 cites W2103251300 @default.
- W2275593142 cites W2104500293 @default.
- W2275593142 cites W2105528101 @default.
- W2275593142 cites W2113176971 @default.
- W2275593142 cites W2115078134 @default.
- W2275593142 cites W2120963683 @default.
- W2275593142 cites W2122004774 @default.
- W2275593142 cites W2124664680 @default.
- W2275593142 cites W2126817554 @default.
- W2275593142 cites W2127931233 @default.
- W2275593142 cites W2129554457 @default.
- W2275593142 cites W2130662884 @default.
- W2275593142 cites W2131117209 @default.
- W2275593142 cites W2139850974 @default.
- W2275593142 cites W2145489645 @default.
- W2275593142 cites W2146267855 @default.
- W2275593142 cites W2148977460 @default.
- W2275593142 cites W2149409455 @default.
- W2275593142 cites W2151311897 @default.
- W2275593142 cites W2153306657 @default.
- W2275593142 cites W2154974088 @default.
- W2275593142 cites W2158233796 @default.
- W2275593142 cites W2159656414 @default.
- W2275593142 cites W2160382843 @default.
- W2275593142 cites W2161289668 @default.
- W2275593142 cites W2394983626 @default.
- W2275593142 doi "https://doi.org/10.18632/oncotarget.5456" @default.
- W2275593142 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4826263" @default.
- W2275593142 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26452024" @default.
- W2275593142 hasPublicationYear "2015" @default.
- W2275593142 type Work @default.
- W2275593142 sameAs 2275593142 @default.
- W2275593142 citedByCount "41" @default.
- W2275593142 countsByYear W22755931422016 @default.
- W2275593142 countsByYear W22755931422017 @default.
- W2275593142 countsByYear W22755931422018 @default.
- W2275593142 countsByYear W22755931422019 @default.
- W2275593142 countsByYear W22755931422020 @default.
- W2275593142 countsByYear W22755931422021 @default.
- W2275593142 countsByYear W22755931422022 @default.
- W2275593142 countsByYear W22755931422023 @default.
- W2275593142 crossrefType "journal-article" @default.
- W2275593142 hasAuthorship W2275593142A5006836966 @default.
- W2275593142 hasAuthorship W2275593142A5011184859 @default.
- W2275593142 hasAuthorship W2275593142A5019896088 @default.
- W2275593142 hasAuthorship W2275593142A5022662736 @default.
- W2275593142 hasAuthorship W2275593142A5029912336 @default.
- W2275593142 hasAuthorship W2275593142A5048267225 @default.
- W2275593142 hasAuthorship W2275593142A5062001095 @default.
- W2275593142 hasAuthorship W2275593142A5063624341 @default.
- W2275593142 hasAuthorship W2275593142A5065549183 @default.
- W2275593142 hasAuthorship W2275593142A5065724609 @default.
- W2275593142 hasAuthorship W2275593142A5069813497 @default.
- W2275593142 hasAuthorship W2275593142A5075442335 @default.
- W2275593142 hasAuthorship W2275593142A5079077532 @default.
- W2275593142 hasBestOaLocation W22755931421 @default.
- W2275593142 hasConcept C126322002 @default.
- W2275593142 hasConcept C143998085 @default.