Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery

Abstract Accurate survival estimations in Ewing sarcoma are necessary to develop risk- and response adaptive treatment strategies allowing for early decision-making. We aim to develop an easy-to-use survival estimation tool from diagnosis and surgery. A retrospective study of 1314 Ewing sarcoma pati...

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Autores principales:	S. E. Bosma, C. Lancia, A. J. Rueten-Budde, A. Ranft, H. Gelderblom, M. Fiocco, M. A. J. van de Sande, P. D. S. Dijkstra, U. Dirksen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7cee7bb701f2453fb5bc3c06609dd1d6
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spelling	oai:doaj.org-article:7cee7bb701f2453fb5bc3c06609dd1d62021-12-02T15:09:53ZEasy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery10.1038/s41598-019-46721-82045-2322https://doaj.org/article/7cee7bb701f2453fb5bc3c06609dd1d62019-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-46721-8https://doaj.org/toc/2045-2322Abstract Accurate survival estimations in Ewing sarcoma are necessary to develop risk- and response adaptive treatment strategies allowing for early decision-making. We aim to develop an easy-to-use survival estimation tool from diagnosis and surgery. A retrospective study of 1314 Ewing sarcoma patients was performed. Associations between prognostic variables at diagnosis/surgery and overall survival (OS), were investigated using Kaplan-Meier and multivariate Cox models. Predictive accuracy was evaluated by cross-validation and Harrell C-statistics. Median follow-up was 7.9 years (95%CI 7.6–8.3). Independent prognostic factors at diagnosis were age, volume, primary tumor localization and disease extent. 5 risk categories (A-E) were identified with 5-year OS of 88% (86–94), 69% (64–74), 57% (50–64), 51% (42–60) and 28% (22–34) respectively. Harrell C-statistic was 0.70. Independent prognostic factors from surgery were age, volume, disease extent and histological response. In categories A-B, 5y OS increased to 92% (87–97) and 79% (71–87) respectively for 100% necrosis and decreased to 76% (67–85) and 62% (55–69) respectively for <100% necrosis. In categories C-E, 5y OS increased to 65% (55–75), 65% (52–78) and 52% (38–66) respectively for ≥90% necrosis and decreased to 38% (22–54), 11% (0–26) and 7% (0–19) respectively for <90% necrosis. We present an easy-to-use survival estimation tool from diagnosis in Ewing sarcoma based on age, volume, primary tumor localization and disease extent. Histological response is a strong additional prognostic factor for OS.S. E. BosmaC. LanciaA. J. Rueten-BuddeA. RanftH. GelderblomM. FioccoM. A. J. van de SandeP. D. S. DijkstraU. DirksenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q S. E. Bosma C. Lancia A. J. Rueten-Budde A. Ranft H. Gelderblom M. Fiocco M. A. J. van de Sande P. D. S. Dijkstra U. Dirksen Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery
description	Abstract Accurate survival estimations in Ewing sarcoma are necessary to develop risk- and response adaptive treatment strategies allowing for early decision-making. We aim to develop an easy-to-use survival estimation tool from diagnosis and surgery. A retrospective study of 1314 Ewing sarcoma patients was performed. Associations between prognostic variables at diagnosis/surgery and overall survival (OS), were investigated using Kaplan-Meier and multivariate Cox models. Predictive accuracy was evaluated by cross-validation and Harrell C-statistics. Median follow-up was 7.9 years (95%CI 7.6–8.3). Independent prognostic factors at diagnosis were age, volume, primary tumor localization and disease extent. 5 risk categories (A-E) were identified with 5-year OS of 88% (86–94), 69% (64–74), 57% (50–64), 51% (42–60) and 28% (22–34) respectively. Harrell C-statistic was 0.70. Independent prognostic factors from surgery were age, volume, disease extent and histological response. In categories A-B, 5y OS increased to 92% (87–97) and 79% (71–87) respectively for 100% necrosis and decreased to 76% (67–85) and 62% (55–69) respectively for <100% necrosis. In categories C-E, 5y OS increased to 65% (55–75), 65% (52–78) and 52% (38–66) respectively for ≥90% necrosis and decreased to 38% (22–54), 11% (0–26) and 7% (0–19) respectively for <90% necrosis. We present an easy-to-use survival estimation tool from diagnosis in Ewing sarcoma based on age, volume, primary tumor localization and disease extent. Histological response is a strong additional prognostic factor for OS.
format	article
author	S. E. Bosma C. Lancia A. J. Rueten-Budde A. Ranft H. Gelderblom M. Fiocco M. A. J. van de Sande P. D. S. Dijkstra U. Dirksen
author_facet	S. E. Bosma C. Lancia A. J. Rueten-Budde A. Ranft H. Gelderblom M. Fiocco M. A. J. van de Sande P. D. S. Dijkstra U. Dirksen
author_sort	S. E. Bosma
title	Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery
title_short	Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery
title_full	Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery
title_fullStr	Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery
title_full_unstemmed	Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery
title_sort	easy-to-use clinical tool for survival estimation in ewing sarcoma at diagnosis and after surgery
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/7cee7bb701f2453fb5bc3c06609dd1d6
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Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery

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