TY - JOUR
T1 - Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma
T2 - NRG Oncology RTOG 0525 and 0825
AU - Patil, Nirav
AU - Somasundaram, Eashwar
AU - Waite, Kristin A.
AU - Lathia, Justin D.
AU - Machtay, Mitchell
AU - Gilbert, Mark R.
AU - Connor, James R.
AU - Rubin, Joshua B.
AU - Berens, Michael E.
AU - Buerki, Robin A.
AU - Choi, Serah
AU - Sloan, Andrew E.
AU - Penas-Prado, Marta
AU - Ashby, Lynn S.
AU - Blumenthal, Deborah T.
AU - Werner-Wasik, Maria
AU - Hunter, Grant K.
AU - Flickinger, John C.
AU - Wendland, Merideth M.
AU - Panet-Raymond, Valerie
AU - Robins, H. Ian
AU - Pugh, Stephanie L.
AU - Mehta, Minesh P.
AU - Barnholtz-Sloan, Jill S.
N1 - Publisher Copyright:
© 2021, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
PY - 2021/12
Y1 - 2021/12
N2 - 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/.
AB - 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/.
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U2 - 10.1007/s11060-021-03886-5
DO - 10.1007/s11060-021-03886-5
M3 - Article
C2 - 34761331
AN - SCOPUS:85118881435
SN - 0167-594X
VL - 155
SP - 363
EP - 372
JO - Journal of neuro-oncology
JF - Journal of neuro-oncology
IS - 3
ER -