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Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825

Authors :
Deborah T. Blumenthal
Robin Buerki
Mitchell Machtay
Valerie Panet-Raymond
Stephanie L. Pugh
Nirav Patil
Eashwar Somasundaram
James R. Connor
Andrew E. Sloan
H. Ian Robins
Grant K. Hunter
Marta Penas-Prado
Justin D. Lathia
Serah Choi
Kristin A Waite
John C. Flickinger
Lynn S. Ashby
Maria Werner-Wasik
Joshua B. Rubin
Michael E. Berens
Merideth M Wendland
Mark R. Gilbert
Jill S. Barnholtz-Sloan
Minesh P. Mehta
Source :
Journal of Neuro-Oncology
Publication Year :
2021
Publisher :
Springer US, 2021.

Abstract

Background/purpose Glioblastoma (GBM) is the most common primary malignant brain tumor. Sex has been shown to be an important prognostic factor for GBM. The purpose of this study was to develop and independently validate sex-specific nomograms for estimation of individualized GBM survival probabilities using data from 2 independent NRG Oncology clinical trials. Methods This analysis included information on 752 (NRG/RTOG 0525) and 599 (NRG/RTOG 0825) patients with newly diagnosed GBM. The Cox proportional hazard models by sex were developed using NRG/RTOG 0525 and significant variables were identified using a backward selection procedure. The final selected models by sex were then independently validated using NRG/RTOG 0825. Results Final nomograms were built by sex. Age at diagnosis, KPS, MGMT promoter methylation and location of tumor were common significant predictors of survival for both sexes. For both sexes, tumors in the frontal lobes had significantly better survival than tumors of multiple sites. Extent of resection, and use of corticosteroids were significant predictors of survival for males. Conclusions A sex specific nomogram that assesses individualized survival probabilities (6-, 12- and 24-months) for patients with GBM could be more useful than estimation of overall survival as there are factors that differ between males and females. A user friendly online application can be found here—https://npatilshinyappcalculator.shinyapps.io/SexDifferencesInGBM/.

Details

Language :
English
ISSN :
15737373 and 0167594X
Volume :
155
Issue :
3
Database :
OpenAIRE
Journal :
Journal of Neuro-Oncology
Accession number :
edsair.doi.dedup.....ad1214f53bf74a285d0e66449367b249