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Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors

BACKGROUND: The surgical efficacy and prognostic outcomes of patients with unspecific malignant bone tumors (UMBTs) remain unclear. The study is to address: 1) What are the clinicopathological features and prognostic determinants for patients with UMBTs? 2) Can a nomogram be developed for clinicians...

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Autores principales: He, Shaohui, Jiang, Runyi, Sun, Haitao, Yang, Jian, Ye, Chen, Liu, Weibo, Yang, Xinghai, Cai, Xiaopan, Xiao, Jianru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583561/
https://www.ncbi.nlm.nih.gov/pubmed/36266614
http://dx.doi.org/10.1186/s12885-022-10153-x
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author He, Shaohui
Jiang, Runyi
Sun, Haitao
Yang, Jian
Ye, Chen
Liu, Weibo
Yang, Xinghai
Cai, Xiaopan
Xiao, Jianru
author_facet He, Shaohui
Jiang, Runyi
Sun, Haitao
Yang, Jian
Ye, Chen
Liu, Weibo
Yang, Xinghai
Cai, Xiaopan
Xiao, Jianru
author_sort He, Shaohui
collection PubMed
description BACKGROUND: The surgical efficacy and prognostic outcomes of patients with unspecific malignant bone tumors (UMBTs) remain unclear. The study is to address: 1) What are the clinicopathological features and prognostic determinants for patients with UMBTs? 2) Can a nomogram be developed for clinicians to predict the short and long-term outcomes for individuals with UMBTs? 3) Does surgery improve outcomes for UMBT patients who received radiotherapy or chemotherapy after balancing the confounding bias? METHODS: 400 UMBT patients were filtrated from the Surveillance, Epidemiology, and End Results database to assess the clinicopathological features, treatments, and factors affecting prognosis. The optimal cutoff values of continuous variables were identified by the x-tile software. Kaplan-Meier method and multivariate Cox proportional hazard modeling were performed to evaluate the independent prognostic factors. Nomogram was further developed by using R software with rms package. The surgical efficacy was further assessed for patients receiving radiotherapy or chemotherapy after performing propensity score matching. RESULTS: The enrolled cohort included 195 (48.8%) female and 205 (51.2%) male patients. The 2- and 5-year cancer-specific survival (CSS) and overall survival (OS) rate were 58.2 ± 3.0%, 46.8 ± 3.2%, and 46.5 ± 2.6%, 34.4 ± 2.5%, respectively. Nomogram was finally developed for CSS and OS according to the identified independent factors: age, tumor extent, primary tumor surgery, tumor size, and pathology grade. For UMBT patients who received radiotherapy or chemotherapy, surgical intervention was associated with better CSS (pr = 0.003, pc = 0.002) and OS (pr = 0.035, pc = 0.002), respectively. CONCLUSIONS: Nomogram was developed for individual UMBT patient to predict short and long-term CSS and OS rate, and more external patient cohorts are warranted for validation. Surgery improves outcomes for UMBT patients who received either radiotherapy or chemotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10153-x.
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spelling pubmed-95835612022-10-21 Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors He, Shaohui Jiang, Runyi Sun, Haitao Yang, Jian Ye, Chen Liu, Weibo Yang, Xinghai Cai, Xiaopan Xiao, Jianru BMC Cancer Research Article BACKGROUND: The surgical efficacy and prognostic outcomes of patients with unspecific malignant bone tumors (UMBTs) remain unclear. The study is to address: 1) What are the clinicopathological features and prognostic determinants for patients with UMBTs? 2) Can a nomogram be developed for clinicians to predict the short and long-term outcomes for individuals with UMBTs? 3) Does surgery improve outcomes for UMBT patients who received radiotherapy or chemotherapy after balancing the confounding bias? METHODS: 400 UMBT patients were filtrated from the Surveillance, Epidemiology, and End Results database to assess the clinicopathological features, treatments, and factors affecting prognosis. The optimal cutoff values of continuous variables were identified by the x-tile software. Kaplan-Meier method and multivariate Cox proportional hazard modeling were performed to evaluate the independent prognostic factors. Nomogram was further developed by using R software with rms package. The surgical efficacy was further assessed for patients receiving radiotherapy or chemotherapy after performing propensity score matching. RESULTS: The enrolled cohort included 195 (48.8%) female and 205 (51.2%) male patients. The 2- and 5-year cancer-specific survival (CSS) and overall survival (OS) rate were 58.2 ± 3.0%, 46.8 ± 3.2%, and 46.5 ± 2.6%, 34.4 ± 2.5%, respectively. Nomogram was finally developed for CSS and OS according to the identified independent factors: age, tumor extent, primary tumor surgery, tumor size, and pathology grade. For UMBT patients who received radiotherapy or chemotherapy, surgical intervention was associated with better CSS (pr = 0.003, pc = 0.002) and OS (pr = 0.035, pc = 0.002), respectively. CONCLUSIONS: Nomogram was developed for individual UMBT patient to predict short and long-term CSS and OS rate, and more external patient cohorts are warranted for validation. Surgery improves outcomes for UMBT patients who received either radiotherapy or chemotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10153-x. BioMed Central 2022-10-20 /pmc/articles/PMC9583561/ /pubmed/36266614 http://dx.doi.org/10.1186/s12885-022-10153-x Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
He, Shaohui
Jiang, Runyi
Sun, Haitao
Yang, Jian
Ye, Chen
Liu, Weibo
Yang, Xinghai
Cai, Xiaopan
Xiao, Jianru
Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
title Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
title_full Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
title_fullStr Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
title_full_unstemmed Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
title_short Surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
title_sort surgical efficacy and survival prediction of patients with unspecified malignant bone tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583561/
https://www.ncbi.nlm.nih.gov/pubmed/36266614
http://dx.doi.org/10.1186/s12885-022-10153-x
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