Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study
BackgroundOsteosarcoma is the most common bone cancer, mainly occurring in children and adolescents, among which distant metastasis (DM) still leads to a poor prognosis. Although nomogram has recently been used in tumor areas, there are no studies focused on diagnostic and prognostic evaluation of D...
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Frontiers Media S.A.
2021-07-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2021.672024/full |
| _version_ | 1819072040772042752 |
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| author | Bo Chen Bo Chen Yuan Zeng Yuan Zeng Bo Liu Gaoxiang Lu Zhouxia Xiang Jiyang Chen Yan Yu Ziyi Zuo Yangjun Lin Jinfeng Ma |
| author_facet | Bo Chen Bo Chen Yuan Zeng Yuan Zeng Bo Liu Gaoxiang Lu Zhouxia Xiang Jiyang Chen Yan Yu Ziyi Zuo Yangjun Lin Jinfeng Ma |
| author_sort | Bo Chen |
| collection | DOAJ |
| description | BackgroundOsteosarcoma is the most common bone cancer, mainly occurring in children and adolescents, among which distant metastasis (DM) still leads to a poor prognosis. Although nomogram has recently been used in tumor areas, there are no studies focused on diagnostic and prognostic evaluation of DM in primary osteosarcoma patients.MethodsThe data of osteosarcoma patients diagnosed between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for DM in osteosarcoma patients, and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors of osteosarcoma patients with DM. We then established two novel nomograms and the results were evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).ResultA total of 1,657 patients with osteosarcoma were included, and 267 patients (16.11%) had DM at the time of diagnosis. The independent risk factors for DM in patients with osteosarcoma include age, grade, T stage, and N stage. The independent prognostic factors for osteosarcoma patients with DM are age, chemotherapy and surgery. The results of ROC curves, calibration, DCA, and Kaplan–Meier (K-M) survival curves in the training, validation, and expanded testing sets, confirmed that two nomograms can precisely predict occurrence and prognosis of DM in osteosarcoma patients.ConclusionTwo nomograms are expected to be effective tools for predicting the risk of DM for osteosarcoma patients and personalized prognosis prediction for patients with DM, which may benefit clinical decision-making. |
| first_indexed | 2024-12-21T17:31:24Z |
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| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-12-21T17:31:24Z |
| publishDate | 2021-07-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj.art-dd1eec8eb9b9429c91e4b472397283032022-12-21T18:55:54ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922021-07-011210.3389/fendo.2021.672024672024Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based StudyBo Chen0Bo Chen1Yuan Zeng2Yuan Zeng3Bo Liu4Gaoxiang Lu5Zhouxia Xiang6Jiyang Chen7Yan Yu8Ziyi Zuo9Yangjun Lin10Jinfeng Ma11Department of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, ChinaDepartment of Surgery, The People’s Hospital of Yunhe, Lishui, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaThe First Clinical College, Wenzhou Medical University, Wenzhou, ChinaDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, ChinaBackgroundOsteosarcoma is the most common bone cancer, mainly occurring in children and adolescents, among which distant metastasis (DM) still leads to a poor prognosis. Although nomogram has recently been used in tumor areas, there are no studies focused on diagnostic and prognostic evaluation of DM in primary osteosarcoma patients.MethodsThe data of osteosarcoma patients diagnosed between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for DM in osteosarcoma patients, and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors of osteosarcoma patients with DM. We then established two novel nomograms and the results were evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).ResultA total of 1,657 patients with osteosarcoma were included, and 267 patients (16.11%) had DM at the time of diagnosis. The independent risk factors for DM in patients with osteosarcoma include age, grade, T stage, and N stage. The independent prognostic factors for osteosarcoma patients with DM are age, chemotherapy and surgery. The results of ROC curves, calibration, DCA, and Kaplan–Meier (K-M) survival curves in the training, validation, and expanded testing sets, confirmed that two nomograms can precisely predict occurrence and prognosis of DM in osteosarcoma patients.ConclusionTwo nomograms are expected to be effective tools for predicting the risk of DM for osteosarcoma patients and personalized prognosis prediction for patients with DM, which may benefit clinical decision-making.https://www.frontiersin.org/articles/10.3389/fendo.2021.672024/fullosteosarcomadistant metastasisnomogrampredictorprognosis |
| spellingShingle | Bo Chen Bo Chen Yuan Zeng Yuan Zeng Bo Liu Gaoxiang Lu Zhouxia Xiang Jiyang Chen Yan Yu Ziyi Zuo Yangjun Lin Jinfeng Ma Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study Frontiers in Endocrinology osteosarcoma distant metastasis nomogram predictor prognosis |
| title | Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study |
| title_full | Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study |
| title_fullStr | Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study |
| title_full_unstemmed | Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study |
| title_short | Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study |
| title_sort | risk factors prognostic factors and nomograms for distant metastasis in patients with newly diagnosed osteosarcoma a population based study |
| topic | osteosarcoma distant metastasis nomogram predictor prognosis |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2021.672024/full |
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