title: Analysis of complex relationships between age, p53, epidermal growth factor receptor, and survival in glioblastoma patients.
abstract: Glioblastoma multiforme (GBM) carries a dismal prognosis. However, a range of survival times exists, and parameters that define prognostic groups may help to optimize treatment. To identify such prognostic groups, we analyzed tumor tissue from 110 cases of newly diagnosed GBM from two clinical protocols. Similar to other studies, we found no association of epidermal growth factor receptor (EGFR) overexpression (as assessed by immunohistochemistry), p53 immunopositivity, or p53 mutation with survival in the entire sample. However, EGFR overexpression showed trends toward worse prognosis in patients younger than the median age, but better prognosis in patients older than the median age. This interaction of EGFR with age group was statistically significant and led us to focus our further analyses on the younger patients. In this group, a statistically significant association of EGFR overexpression with worse survival was identified in the p53-negative but not p53-positive tumors. We found a similar result after screening these cases for mutations in p53: EGFR overexpression was negatively associated with survival only in the p53 wild-type cases. To confirm this unexpected result, this finding was reproduced in a validation sample of an additional 42 tumors from younger patients on the same two clinical protocols. This complex relationship between EGFR and p53 in younger patients remained in a multivariate analysis that incorporated additional prognostic variables. The results suggest that analysis of prognostic markers in GBM is complex, and maximal information may require analysis of subgroups based on age and the status of specific markers such as p53. In addition, they suggest a specific group of patients on which to focus promising therapies targeting EGFR.
authors.affiliation: Department of Pathology, University of California School of Medicine, San Francisco 94143-0506, USA.
authors.forename: M L
authors.initials: ML
authors.lastname: Simmons
authors.forename: K R
authors.initials: KR
authors.lastname: Lamborn
authors.forename: M
authors.initials: M
authors.lastname: Takahashi
authors.forename: P
authors.initials: P
authors.lastname: Chen
authors.forename: M A
authors.initials: MA
authors.lastname: Israel
authors.forename: M S
authors.initials: MS
authors.lastname: Berger
authors.forename: T
authors.initials: T
authors.lastname: Godfrey
authors.forename: J
authors.initials: J
authors.lastname: Nigro
authors.forename: M
authors.initials: M
authors.lastname: Prados
authors.forename: S
authors.initials: S
authors.lastname: Chang
authors.forename: F G
authors.initials: FG
authors.lastname: Barker
authors.forename: K
authors.initials: K
authors.lastname: Aldape
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D014408:Biomarkers, Tumor / Q000096:biosynthesis / Q000235:genetics / Q000276:immunology; D001932:Brain Neoplasms / Q000235:genetics* / Q000378:metabolism* / Q000473:pathology; D002455:Cell Division / Q000502:physiology; D066246:ErbB Receptors / Q000096:biosynthesis*; D005260:Female; D016158:Genes, p53; D005909:Glioblastoma / Q000235:genetics* / Q000378:metabolism* / Q000473:pathology; D006801:Humans; D007150:Immunohistochemistry; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009154:Mutation; D018807:Polymorphism, Single-Stranded Conformational; D011379:Prognosis; D015203:Reproducibility of Results; D015996:Survival Rate; D016159:Tumor Suppressor Protein p53 / Q000096:biosynthesis* / Q000235:genetics* / Q000276:immunology
chemical_list: D014408:Biomarkers, Tumor; D016159:Tumor Suppressor Protein p53; D066246:ErbB Receptors