Cargando…

Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study

BACKGROUND: Bone metastasis (BM) has been proven to be responsible for the poor prognosis of primary malignant bone neoplasms (PMBNs). We aimed to identify the prevalence, risk factors, and prognostic factors for PMBNs patients with BM based on the Surveillance, Epidemiology, and End Results (SEER)...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Zheng-Wei, Guo, Hui-ling, Chen, Hong-chao, Yan, Lai-peng, Liao, Yi-lin, Li, Shu-lin, Zhao, Li-lan, Su, Ling-bo, Li, Jun-jie, Tang, Fa-qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976614/
https://www.ncbi.nlm.nih.gov/pubmed/35378768
http://dx.doi.org/10.1155/2022/9935439
_version_ 1784680614401671168
author Xiao, Zheng-Wei
Guo, Hui-ling
Chen, Hong-chao
Yan, Lai-peng
Liao, Yi-lin
Li, Shu-lin
Zhao, Li-lan
Su, Ling-bo
Li, Jun-jie
Tang, Fa-qiang
author_facet Xiao, Zheng-Wei
Guo, Hui-ling
Chen, Hong-chao
Yan, Lai-peng
Liao, Yi-lin
Li, Shu-lin
Zhao, Li-lan
Su, Ling-bo
Li, Jun-jie
Tang, Fa-qiang
author_sort Xiao, Zheng-Wei
collection PubMed
description BACKGROUND: Bone metastasis (BM) has been proven to be responsible for the poor prognosis of primary malignant bone neoplasms (PMBNs). We aimed to identify the prevalence, risk factors, and prognostic factors for PMBNs patients with BM based on the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: 4,758 patients diagnosed with PMBNs from 2010 to 2018 were selected from the SEER database. All patients were divided into two groups: the BM group or the non-BM group. Pearson's chi-square test and Fisher's exact method were used to assess baseline characteristics, and logistic regression analysis was applied to assess risk factors. In addition, a nomogram was constructed based on the results of Cox regression analysis among 227 patients with BM. The good performance and clinical applicability of the nomogram were tested by the concordance index, operating characteristic curve, area under the curve, calibration curves, and decision curve analysis. RESULTS: 227 (4.8%) patients had metastasis to bone at diagnosis. Primary site outside the extremities (axial: odds ratio, OR = 1.770; others: OR = 1.951), Ewing sarcoma (OR = 2.845), larger tumor size (5–8 cm: OR = 3.403; >8 cm: OR = 5.562), tumor extension beyond the periosteum (OR = 2.477), and regional lymph node metastasis (OR = 2.900) were associated with a higher risk of BM at the initial diagnosis of PMBNs. Five independent prognostic factors were found in the survival analysis: pathological type (chondrosarcoma vs. osteosarcoma: hazard ratio, HR = 0.342; Ewing sarcoma vs. osteosarcoma: HR = 0.592; and chordoma vs. osteosarcoma: HR = 0.015), marital status (HR = 2.457), pulmonary metastasis (HR = 1.934), surgery at the primary site (HR = 0.164), and chemotherapy (HR = 0.084). A nomogram based on these prognostic factors could be a good predictor of cancer-specific survival. CONCLUSIONS: We identified the prevalence, risk factors, and prognostic factors correlated with BM in PMBNs patients. The related nomogram could be a practical tool for therapeutic decision-making and individual counseling.
format Online
Article
Text
id pubmed-8976614
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-89766142022-04-03 Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study Xiao, Zheng-Wei Guo, Hui-ling Chen, Hong-chao Yan, Lai-peng Liao, Yi-lin Li, Shu-lin Zhao, Li-lan Su, Ling-bo Li, Jun-jie Tang, Fa-qiang J Oncol Research Article BACKGROUND: Bone metastasis (BM) has been proven to be responsible for the poor prognosis of primary malignant bone neoplasms (PMBNs). We aimed to identify the prevalence, risk factors, and prognostic factors for PMBNs patients with BM based on the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: 4,758 patients diagnosed with PMBNs from 2010 to 2018 were selected from the SEER database. All patients were divided into two groups: the BM group or the non-BM group. Pearson's chi-square test and Fisher's exact method were used to assess baseline characteristics, and logistic regression analysis was applied to assess risk factors. In addition, a nomogram was constructed based on the results of Cox regression analysis among 227 patients with BM. The good performance and clinical applicability of the nomogram were tested by the concordance index, operating characteristic curve, area under the curve, calibration curves, and decision curve analysis. RESULTS: 227 (4.8%) patients had metastasis to bone at diagnosis. Primary site outside the extremities (axial: odds ratio, OR = 1.770; others: OR = 1.951), Ewing sarcoma (OR = 2.845), larger tumor size (5–8 cm: OR = 3.403; >8 cm: OR = 5.562), tumor extension beyond the periosteum (OR = 2.477), and regional lymph node metastasis (OR = 2.900) were associated with a higher risk of BM at the initial diagnosis of PMBNs. Five independent prognostic factors were found in the survival analysis: pathological type (chondrosarcoma vs. osteosarcoma: hazard ratio, HR = 0.342; Ewing sarcoma vs. osteosarcoma: HR = 0.592; and chordoma vs. osteosarcoma: HR = 0.015), marital status (HR = 2.457), pulmonary metastasis (HR = 1.934), surgery at the primary site (HR = 0.164), and chemotherapy (HR = 0.084). A nomogram based on these prognostic factors could be a good predictor of cancer-specific survival. CONCLUSIONS: We identified the prevalence, risk factors, and prognostic factors correlated with BM in PMBNs patients. The related nomogram could be a practical tool for therapeutic decision-making and individual counseling. Hindawi 2022-03-26 /pmc/articles/PMC8976614/ /pubmed/35378768 http://dx.doi.org/10.1155/2022/9935439 Text en Copyright © 2022 Zheng-Wei Xiao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xiao, Zheng-Wei
Guo, Hui-ling
Chen, Hong-chao
Yan, Lai-peng
Liao, Yi-lin
Li, Shu-lin
Zhao, Li-lan
Su, Ling-bo
Li, Jun-jie
Tang, Fa-qiang
Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study
title Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study
title_full Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study
title_fullStr Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study
title_full_unstemmed Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study
title_short Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study
title_sort prevalence, risk factors, and prognostic factors of primary malignant bone neoplasms with bone metastasis at initial diagnosis: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976614/
https://www.ncbi.nlm.nih.gov/pubmed/35378768
http://dx.doi.org/10.1155/2022/9935439
work_keys_str_mv AT xiaozhengwei prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT guohuiling prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT chenhongchao prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT yanlaipeng prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT liaoyilin prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT lishulin prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT zhaolilan prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT sulingbo prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT lijunjie prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy
AT tangfaqiang prevalenceriskfactorsandprognosticfactorsofprimarymalignantboneneoplasmswithbonemetastasisatinitialdiagnosisapopulationbasedstudy