title: Identification of prognostic biomarkers for glioblastomas using protein             expression profiling.
abstract: A set of proteins reflecting the prognosis of patients have clinical significance             since they could be utilized as predictive biomarkers and/or potential therapeutic             targets. With the aim of finding novel diagnostic and prognostic markers for glioblastoma             (GBM), a tissue microarray (TMA) library consisting of 62 GBMs and 28 GBM-associated             normal spots was constructed. Immunohistochemistry against 78 GBM-associated proteins             was performed. Expression levels of each protein for each patient were analyzed             using an image analysis program and converted to H-score [summation of the intensity             grade of staining (0-3) multiplied by the percentage of positive cells corresponding             to each grade]. Based on H-score and hierarchical clustering methods, we divided             the GBMs into two groups (n=19 and 37) that had significantly different survival             lengths (p<0.05). In the two groups, expression of nine proteins (survivin,             cyclin E, DCC, TGF-β, CDC25B, histone H1, p-EGFR, p-VEGFR2/3, p16) was significantly             changed (q<0.05). Prognosis-predicting potential of these proteins were validated             with another independent library of 82 GBM TMAs and a public GBM DNA microarray             dataset. In addition, we determined 32 aberrant or mislocalized subcellular protein             expression patterns in GBMs compared with relatively normal brain tissues, which             could be useful for diagnostic biomarkers of GBM. We therefore suggest that these             proteins can be used as predictive biomarkers and/or potential therapeutic targets             for GBM.
authors.affiliation: Department of Neurosurgery, Samsung Medical Center and Samsung                     Biomedical Research Institute, Sungkyunkwan University School of Medicine,                     Gangnam-Gu, Seoul 135-710, Republic of Korea.
authors.forename: Yong
authors.initials: Y
authors.lastname: Jung
authors.forename: Kyeung Min
authors.initials: KM
authors.lastname: Joo
authors.forename: Dong Ho
authors.initials: DH
authors.lastname: Seong
authors.forename: Yoon-La
authors.initials: YL
authors.lastname: Choi
authors.forename: Doo-Sik
authors.initials: DS
authors.lastname: Kong
authors.forename: Yonghyun
authors.initials: Y
authors.lastname: Kim
authors.forename: Mi Hyun
authors.initials: MH
authors.lastname: Kim
authors.forename: Juyoun
authors.initials: J
authors.lastname: Jin
authors.forename: Yeon-Lim
authors.initials: YL
authors.lastname: Suh
authors.forename: Ho Jun
authors.initials: HJ
authors.lastname: Seol
authors.forename: Chul Soo
authors.initials: CS
authors.lastname: Shin
authors.forename: Jung-Il
authors.initials: JI
authors.lastname: Lee
authors.forename: Jong-Hyun
authors.initials: JH
authors.lastname: Kim
authors.forename: Sang Yong
authors.initials: SY
authors.lastname: Song
authors.forename: Do-Hyun
authors.initials: DH
authors.lastname: Nam
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis* / Q000096:biosynthesis / Q000235:genetics; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000378:metabolism; D005260:Female; D020869:Gene Expression Profiling; D005909:Glioblastoma / Q000175:diagnosis* / Q000235:genetics / Q000378:metabolism; D006801:Humans; D007150:Immunohistochemistry; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D016019:Survival Analysis
chemical_list: D014408:Biomarkers, Tumor