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Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study
The objective of this study was to estimate overall survival in children with extremity rhabdomyosarcoma (RMS). In addition, we attempted to construct a nomogram to predict the prognosis in such patients using a population-based cohort. The national Surveillance, Epidemiology, and End Results (SEER)...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105456/ https://www.ncbi.nlm.nih.gov/pubmed/32231229 http://dx.doi.org/10.1038/s41598-020-62656-x |
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author | Zhu, Linchao Sun, Ying Wang, Xuhui Wang, Lin Zhang, Shufeng Meng, Qinglei Wang, Xiaohui |
author_facet | Zhu, Linchao Sun, Ying Wang, Xuhui Wang, Lin Zhang, Shufeng Meng, Qinglei Wang, Xiaohui |
author_sort | Zhu, Linchao |
collection | PubMed |
description | The objective of this study was to estimate overall survival in children with extremity rhabdomyosarcoma (RMS). In addition, we attempted to construct a nomogram to predict the prognosis in such patients using a population-based cohort. The national Surveillance, Epidemiology, and End Results (SEER) registry was used to identify a cohort of childhood RMS patients. A total of 197 patients with RMS were ultimately included. Multivariable analysis identified age group, N classification, M classification, and treatment combinations as independent predictive factors for patient overall survival. Candidate variables such as age group, N classification, M classification, and treatment combinations were used to fit the model. For overall survival, the bootstrap-adjusted c-index was 0.76 (95% CI, 0.73–0.80) for the nomogram. Furthermore, we performed recursive partitioning analysis for risk stratification according to overall survival, and 3 prognostic subgroups were generated (low, intermediate and high risk). Finally, we evaluated multimodal treatment based on the risk stratification according to the nomogram and IRSG prognostic stratification model. With regard to the entire cohort, overall survival in patients who received surgery and radiation was superior to that in patients who received surgery or radiation (p = 0.001). Regarding RPA and IRSG prognostic stratification, we found that the differences remained significant (p < 0.05) in patients with low-intermediate risk. However, the difference disappeared in patients with high risk (p > 0.05). We performed a population-based analysis of data from the SEER registry in an effort to identify prognostic factors and develop a nomogram in children with extremity RMS. The nomogram appears to be suitable for the survival stratification of children with RMS and will help clinicians identify patients who may be at a reduced probability of survival and assist them in making treatment and surveillance decisions. More studies concerning overall survival in children with RMS are needed to confirm and update our findings. |
format | Online Article Text |
id | pubmed-7105456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71054562020-04-06 Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study Zhu, Linchao Sun, Ying Wang, Xuhui Wang, Lin Zhang, Shufeng Meng, Qinglei Wang, Xiaohui Sci Rep Article The objective of this study was to estimate overall survival in children with extremity rhabdomyosarcoma (RMS). In addition, we attempted to construct a nomogram to predict the prognosis in such patients using a population-based cohort. The national Surveillance, Epidemiology, and End Results (SEER) registry was used to identify a cohort of childhood RMS patients. A total of 197 patients with RMS were ultimately included. Multivariable analysis identified age group, N classification, M classification, and treatment combinations as independent predictive factors for patient overall survival. Candidate variables such as age group, N classification, M classification, and treatment combinations were used to fit the model. For overall survival, the bootstrap-adjusted c-index was 0.76 (95% CI, 0.73–0.80) for the nomogram. Furthermore, we performed recursive partitioning analysis for risk stratification according to overall survival, and 3 prognostic subgroups were generated (low, intermediate and high risk). Finally, we evaluated multimodal treatment based on the risk stratification according to the nomogram and IRSG prognostic stratification model. With regard to the entire cohort, overall survival in patients who received surgery and radiation was superior to that in patients who received surgery or radiation (p = 0.001). Regarding RPA and IRSG prognostic stratification, we found that the differences remained significant (p < 0.05) in patients with low-intermediate risk. However, the difference disappeared in patients with high risk (p > 0.05). We performed a population-based analysis of data from the SEER registry in an effort to identify prognostic factors and develop a nomogram in children with extremity RMS. The nomogram appears to be suitable for the survival stratification of children with RMS and will help clinicians identify patients who may be at a reduced probability of survival and assist them in making treatment and surveillance decisions. More studies concerning overall survival in children with RMS are needed to confirm and update our findings. Nature Publishing Group UK 2020-03-30 /pmc/articles/PMC7105456/ /pubmed/32231229 http://dx.doi.org/10.1038/s41598-020-62656-x Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhu, Linchao Sun, Ying Wang, Xuhui Wang, Lin Zhang, Shufeng Meng, Qinglei Wang, Xiaohui Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
title | Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
title_full | Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
title_fullStr | Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
title_full_unstemmed | Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
title_short | Survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
title_sort | survival stratification in childhood rhabdomyosarcoma of the extremities: a derivation and validation study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105456/ https://www.ncbi.nlm.nih.gov/pubmed/32231229 http://dx.doi.org/10.1038/s41598-020-62656-x |
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