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Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825
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 probabili...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651582/ https://www.ncbi.nlm.nih.gov/pubmed/34761331 http://dx.doi.org/10.1007/s11060-021-03886-5 |
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author | Patil, Nirav Somasundaram, Eashwar Waite, Kristin A. Lathia, Justin D. Machtay, Mitchell Gilbert, Mark R. Connor, James R. Rubin, Joshua B. Berens, Michael E. Buerki, Robin A. Choi, Serah Sloan, Andrew E. Penas-Prado, Marta Ashby, Lynn S. Blumenthal, Deborah T. Werner-Wasik, Maria Hunter, Grant K. Flickinger, John C. Wendland, Merideth M. Panet-Raymond, Valerie Robins, H. Ian Pugh, Stephanie L. Mehta, Minesh P. Barnholtz-Sloan, Jill S. |
author_facet | Patil, Nirav Somasundaram, Eashwar Waite, Kristin A. Lathia, Justin D. Machtay, Mitchell Gilbert, Mark R. Connor, James R. Rubin, Joshua B. Berens, Michael E. Buerki, Robin A. Choi, Serah Sloan, Andrew E. Penas-Prado, Marta Ashby, Lynn S. Blumenthal, Deborah T. Werner-Wasik, Maria Hunter, Grant K. Flickinger, John C. Wendland, Merideth M. Panet-Raymond, Valerie Robins, H. Ian Pugh, Stephanie L. Mehta, Minesh P. Barnholtz-Sloan, Jill S. |
author_sort | Patil, Nirav |
collection | PubMed |
description | 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/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-021-03886-5. |
format | Online Article Text |
id | pubmed-8651582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-86515822021-12-08 Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 Patil, Nirav Somasundaram, Eashwar Waite, Kristin A. Lathia, Justin D. Machtay, Mitchell Gilbert, Mark R. Connor, James R. Rubin, Joshua B. Berens, Michael E. Buerki, Robin A. Choi, Serah Sloan, Andrew E. Penas-Prado, Marta Ashby, Lynn S. Blumenthal, Deborah T. Werner-Wasik, Maria Hunter, Grant K. Flickinger, John C. Wendland, Merideth M. Panet-Raymond, Valerie Robins, H. Ian Pugh, Stephanie L. Mehta, Minesh P. Barnholtz-Sloan, Jill S. J Neurooncol Clinical Study 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/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-021-03886-5. Springer US 2021-11-10 2021 /pmc/articles/PMC8651582/ /pubmed/34761331 http://dx.doi.org/10.1007/s11060-021-03886-5 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Clinical Study Patil, Nirav Somasundaram, Eashwar Waite, Kristin A. Lathia, Justin D. Machtay, Mitchell Gilbert, Mark R. Connor, James R. Rubin, Joshua B. Berens, Michael E. Buerki, Robin A. Choi, Serah Sloan, Andrew E. Penas-Prado, Marta Ashby, Lynn S. Blumenthal, Deborah T. Werner-Wasik, Maria Hunter, Grant K. Flickinger, John C. Wendland, Merideth M. Panet-Raymond, Valerie Robins, H. Ian Pugh, Stephanie L. Mehta, Minesh P. Barnholtz-Sloan, Jill S. Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 |
title | Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 |
title_full | Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 |
title_fullStr | Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 |
title_full_unstemmed | Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 |
title_short | Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825 |
title_sort | independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: nrg oncology rtog 0525 and 0825 |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651582/ https://www.ncbi.nlm.nih.gov/pubmed/34761331 http://dx.doi.org/10.1007/s11060-021-03886-5 |
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