Open AccessBRCA1 Protein Expression Predicts Survival in Glioblastoma Patients from an NRG Oncology RTOG Cohort
Author(s) -
Maria Vassilakopoulou,
Minhee Won,
Walter J. Curran,
Luís Souhami,
Michael D. Prados,
Corey J. Langer,
David L. Rimm,
Jason A. Hanna,
Veronique Neumeister,
Edward Melian,
Aidnag Diaz,
James N. Atkins,
Lydia Komarnicky,
Christopher J. Schultz,
Steven Howard,
Peixin Zhang,
Adam P. Dicker,
Jonathan Knisely
Publication year - 2021
Publication title -
oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.987
H-Index - 98
eISSN - 1423-0232
pISSN - 0030-2414
DOI - 10.1159/000516168
Subject(s) - pten , oncology , medicine , hazard ratio , temozolomide , tissue microarray , proportional hazards model , biomarker , survival analysis , cohort , univariate analysis , cancer research , cancer , biology , radiation therapy , multivariate analysis , confidence interval , pi3k/akt/mtor pathway , apoptosis , biochemistry
Purpose: Glioblastoma, the most common malignant brain tumor, was associated with a median survival of <1 year in the pre-temozolomide (TMZ) era. Despite advances in molecular and genetic profiling studies identifying several predictive biomarkers, none has been translated into routine clinical use. Our aim was to investigate the prognostic significance of a panel of diverse cellular molecular markers of tumor formation and growth in an annotated glioblastoma tissue microarray (TMA). Methods and Materials: A TMA composed of archived glioblastoma tumors from patients treated with surgery, radiation, and non-TMZ chemotherapy, was provided by RTOG. RAD51, BRCA-1, phosphatase and tensin homolog tumor suppressor gene (PTEN), and miRNA-210 expression levels were assessed using quantitative in situ hybridization and automated quantitative protein analysis. The objectives of this analysis were to determine the association of each biomarker with overall survival (OS), using the Cox proportional hazard model. Event-time distributions were estimated using the Kaplan-Meier method and compared by the log-rank test. Results: A cohort of 66 patients was included in this study. Among the 4 biomarkers assessed, only BRCA1 expression had a statistically significant correlation with survival. From univariate analysis, patients with low BRCA1 protein expression showed a favorable outcome for OS ( p = 0.04; hazard ratio = 0.56) in comparison with high expressors, with a median survival time of 18.9 versus 4.8 months. Conclusions: BRCA1 protein expression was an important survival predictor in our cohort of glioblastoma patients. This result may imply that low BRCA1 in the tumor and the consequent low level of DNA repair cause vulnerability of the cancer cells to treatment.