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Zhu X, Huang R, Hu P, Yan P, Zhai S, Zhang J, Zhuang J, Yin H, Meng T, Yang D, Huang Z. Prognostic Factors for Survival in Patients with Malignant Giant Cell Tumor of Bone: A Risk Nomogram Analysis Based on the Population. Med Sci Monit 2021; 27:e929154. [PMID: 33594036 PMCID: PMC7899048 DOI: 10.12659/msm.929154] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Background Malignant giant cell tumor of bone (MGCTB) is a rare histological type of malignant tumor that has a high tendency for local relapse and distant metastasis and ultimately leads to a poor prognosis. The purpose of this study was to describe the epidemiological features, identify the prognostic factors, and construct nomograms for patients with MGCTB. Material/Methods Patients with MGCTB that was histologically diagnosed between 1973 and 2014 were selected from the Surveillance, Epidemiology, and End Results (SEER) database as a training set. Survival analysis, Lasso regression, and random forests were used to identify the prognostic variables and establish the nomograms for patients with MGCTB, while an external cohort of 37 patients from our own institution and an external cohort of 163 patients from the SEER database in 2016 were used to validate the generalization performance of the nomograms. Results In total, univariate and multivariable analysis indicated that age, International Classification of Diseases for Oncology, historical stage, primary site, surgery information, radiotherapy, and chemotherapy were independent prognostic variables for overall survival or cause-specific survival. Nomograms based on the multivariable models were built to predict survival, and we achieved a higher C-index in subsequent multidimensional validation. Conclusions Age, historical stage, and chemotherapy were independent prognostic variables for overall survival and cause-specific survival of MGCTB patients, and radiotherapy and primary site were independent prognostic variables for overall survival. Nomograms based on significant clinicopathological features and clinical experience can be effective in predicting the probability of survival for MGCTB patients.
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Affiliation(s)
- Xiaolong Zhu
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Runzhi Huang
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).,Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, China (mainland)
| | - Peng Hu
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Penghui Yan
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Suna Zhai
- Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Jie Zhang
- Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, China (mainland)
| | - Junwei Zhuang
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Huabin Yin
- Department of Orthopedics, Shanghai Bone Tumor Institute, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China (mainland)
| | - Tong Meng
- Department of Orthopedics, Shanghai Bone Tumor Institute, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China (mainland)
| | - Daoke Yang
- Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Zongqiang Huang
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
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