Literature DB >> 29718558

Simple staging system for osteosarcoma performs equivalently to the AJCC and MSTS systems.

Justin M M Cates1.   

Abstract

Both the American Joint Committee on Cancer (AJCC) and Musculoskeletal Tumor Society (MSTS) staging systems for skeletal sarcomas have major weaknesses. A revised staging system for osteosarcoma (the Vanderbilt system) was developed based on exploratory analyses of the relative prognostic impacts of histologic grade, tumor size, local tumor extension, and specific anatomic sites of metastasis using case records from the National Cancer Database (N = 4,285). AJCC, MSTS, and Vanderbilt staging schemes were then compared using a separate, population-based cancer registry (the Surveillance, Epidemiology, and End Results database; N = 2,246) as a validation dataset. Predictive accuracy for 5-year sarcoma-specific survival was evaluated by comparing areas under receiver-operating characteristic curves generated from logistic regression. Three different concordance indices and Bayesian information criteria were also calculated for model comparisons. The Vanderbilt staging system showed comparable predictive accuracy for 5-year disease-specific survival (65%) compared to the AJCC (67%) and MSTS (67%) staging systems. Most cross-comparisons of model concordance were not significantly different either. Bayesian information criterion was lowest for the MSTS staging system. Substaging osteosarcoma by current anatomical criteria is ineffectual. A simplified staging system based only on histologic grade and the presence of distant metastasis to any anatomic site performs similarly to the current AJCC and MSTS staging systems by multiple statistical criteria and is proposed for clinical and pathological staging of osteosarcomas of the non-pelvic appendicular and non-spinal axial skeleton.
© 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2802-2808, 2018. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  American Joint Committee on Cancer; Musculoskeletal Tumor Society; National Cancer Database; Surveillance, Epidemiology, and End Results Program; osteosarcoma; tumor staging

Mesh:

Year:  2018        PMID: 29718558     DOI: 10.1002/jor.24032

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  5 in total

1.  MicroRNA-496 suppresses tumor cell proliferation by targeting BDNF in osteosarcoma.

Authors:  Jing Ye; Wei Xie; Yunzhou Zuo; Guangwu Jing; Jie Tong
Journal:  Exp Ther Med       Date:  2019-12-19       Impact factor: 2.447

2.  Effects of different levels of TGF-β expression and tumor cell necrosis rates in osteosarcoma on the chemotherapy resistance of osteosarcoma.

Authors:  Ling Zhou; Jiadai Tang; Fengdi Hu; Yedan Liao; Rong Li; Yonghong Zhou; Zhihong Yao; Zhengqin Geng; Zuozhang Yang; Xueqi Zhang; Lin Xie
Journal:  J Bone Oncol       Date:  2020-06-01       Impact factor: 4.072

3.  TPX2 regulated by miR-29c-3p induces cell proliferation in osteosarcoma via the AKT signaling pathway.

Authors:  Dongsheng Zhu; Xiangfei Xu; Ming Zhang; Tong Wang
Journal:  Oncol Lett       Date:  2022-03-11       Impact factor: 2.967

4.  Development and validation of a prognostic nomogram for bone metastasis from lung cancer: A large population-based study.

Authors:  Weihua Li; Zixiang Guo; Zehui Zou; Momen Alswadeh; Heng Wang; Xuqiang Liu; Xiaofeng Li
Journal:  Front Oncol       Date:  2022-09-30       Impact factor: 5.738

5.  Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database.

Authors:  Yao Jiang; Tianyu Wang; Zizheng Wei
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  5 in total

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