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Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma

BACKGROUND: Recently, nomograms have been used as models for risk prediction in malignant tumor because they can predict the outcome of interest for a certain individual based on many variables. This study aimed to establish an effective prognostic nomogram for osteosarcoma based on the clinicopatho...

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Autores principales: Cheng, Dong, Qiu, Xubin, Zhuang, Ming, Zhu, Chenlei, Zou, Hongjun, Zhang, Ailiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722535/
https://www.ncbi.nlm.nih.gov/pubmed/29228583
http://dx.doi.org/10.18632/oncotarget.18534
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author Cheng, Dong
Qiu, Xubin
Zhuang, Ming
Zhu, Chenlei
Zou, Hongjun
Zhang, Ailiang
author_facet Cheng, Dong
Qiu, Xubin
Zhuang, Ming
Zhu, Chenlei
Zou, Hongjun
Zhang, Ailiang
author_sort Cheng, Dong
collection PubMed
description BACKGROUND: Recently, nomograms have been used as models for risk prediction in malignant tumor because they can predict the outcome of interest for a certain individual based on many variables. This study aimed to establish an effective prognostic nomogram for osteosarcoma based on the clinicopathological factors and microRNA-203. RESULTS: The results showed that miR-203 expression was significantly lower in osteosarcoma tissues compared with the corresponding adjacent tissues (P < 0.001). Patients with low miR-203 expression had poor overall survival (OS) in osteosarcoma. The histological type, tumor size, AJCC stage and miR-203 expression were integrated in the nomogram. The nomogram showed significantly better prediction of OS than for patients with non-metastatic osteosarcoma. The ROC curve also showed higher specificity and sensitivity for predicting 3- and 5-year osteosarcoma patients’ survival compared with AJCC stage. The decision curve analysis also indicated more potential of clinical application of the nomogram compared with AJCC staging system. Moreover, our findings were supported by the validation cohort. MATERIALS AND METHODS: We retrospectively investigated 301 patients with non-metastatic osteosarcoma. Data from primary cohort (n = 198) were used to develop multivariate nomograms. This nomogram was internally validated for discrimination and calibration with bootstrap samples and was externally validated with an independent patient cohort (n = 103). CONCLUSIONS: Our proposed nomogram showed more accurate prognostic prediction for patients with non-metastatic osteosarcoma.
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spelling pubmed-57225352017-12-10 Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma Cheng, Dong Qiu, Xubin Zhuang, Ming Zhu, Chenlei Zou, Hongjun Zhang, Ailiang Oncotarget Research Paper BACKGROUND: Recently, nomograms have been used as models for risk prediction in malignant tumor because they can predict the outcome of interest for a certain individual based on many variables. This study aimed to establish an effective prognostic nomogram for osteosarcoma based on the clinicopathological factors and microRNA-203. RESULTS: The results showed that miR-203 expression was significantly lower in osteosarcoma tissues compared with the corresponding adjacent tissues (P < 0.001). Patients with low miR-203 expression had poor overall survival (OS) in osteosarcoma. The histological type, tumor size, AJCC stage and miR-203 expression were integrated in the nomogram. The nomogram showed significantly better prediction of OS than for patients with non-metastatic osteosarcoma. The ROC curve also showed higher specificity and sensitivity for predicting 3- and 5-year osteosarcoma patients’ survival compared with AJCC stage. The decision curve analysis also indicated more potential of clinical application of the nomogram compared with AJCC staging system. Moreover, our findings were supported by the validation cohort. MATERIALS AND METHODS: We retrospectively investigated 301 patients with non-metastatic osteosarcoma. Data from primary cohort (n = 198) were used to develop multivariate nomograms. This nomogram was internally validated for discrimination and calibration with bootstrap samples and was externally validated with an independent patient cohort (n = 103). CONCLUSIONS: Our proposed nomogram showed more accurate prognostic prediction for patients with non-metastatic osteosarcoma. Impact Journals LLC 2017-06-17 /pmc/articles/PMC5722535/ /pubmed/29228583 http://dx.doi.org/10.18632/oncotarget.18534 Text en Copyright: © 2017 Cheng et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Cheng, Dong
Qiu, Xubin
Zhuang, Ming
Zhu, Chenlei
Zou, Hongjun
Zhang, Ailiang
Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
title Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
title_full Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
title_fullStr Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
title_full_unstemmed Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
title_short Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
title_sort development and validation of nomogram based on mir-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722535/
https://www.ncbi.nlm.nih.gov/pubmed/29228583
http://dx.doi.org/10.18632/oncotarget.18534
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