Literature DB >> 31939567

Lung metastases at the initial diagnosis of high-grade osteosarcoma: prevalence, risk factors and prognostic factors. A large population-based cohort study.

Chao Zhang1, Xu Guo1, Yao Xu2, Xiuxin Han1, Jun Cai3, Xin Wang4, Guowen Wang1.   

Abstract

BACKGROUND: Osteosarcoma is the most prevalent malignant bone tumor in children and adolescents. Lung metastases are associated with poor prognosis.
OBJECTIVE: The aim here was to explore the prevalence of and risk and prognostic factors for lung metastases in high-grade osteosarcoma patients. DESIGN AND
SETTING: Retrospective cohort study based on the Surveillance, Epidemiology and End Results (SEER) database in the United States.
METHODS: Data on 1,408 high-grade osteosarcoma patients registered in the SEER database between 2010 and 2015 were extracted. From these, all patients with high-grade osteosarcoma and initial lung metastasis were selected for analysis on risk and prognostic factors for lung metastases. Overall survival was estimated.
RESULTS: There were 238 patients (16.90%) with lung metastases at diagnosis. Axial location, tumor size > 10 cm (odds ratio, OR 3.19; 95% confidence interval, CI: 1.58-6.45), higher N stage (OR 4.84; 95% CI: 1.94-12.13) and presence of bone metastases (OR 8.73; 95% CI: 4.37-17.48) or brain metastases (OR 25.63; 95% CI: 1.55-422.86) were significantly associated with lung metastases. Younger age and surgical treatment (hazard ratio, HR 0.46; 95% CI: 0.30-0.71) favored survival. Median survival was prolonged through primary tumor surgery.
CONCLUSIONS: The factors revealed here may guide lung metastasis screening and prophylactic treatment for osteosarcoma patients. A primary tumor in an axial location, greater primary tumor size, higher lymph node stage and presence of bone or brain metastases were significantly correlated with lung metastases. The elderly group (≥ 60 years) showed significant correlation with poor overall survival. For improved survival among high-grade osteosarcoma patients with lung metastases, aggressive surgery on the primary tumor site should be encouraged.

Entities:  

Year:  2019        PMID: 31939567     DOI: 10.1590/1516-3180.2018.0381120619

Source DB:  PubMed          Journal:  Sao Paulo Med J        ISSN: 1516-3180            Impact factor:   1.044


  12 in total

1.  The mevalonate pathway promotes the metastasis of osteosarcoma by regulating YAP1 activity via RhoA.

Authors:  Xing Du; Yunsheng Ou; Muzi Zhang; Kai Li; Wei Huang; Dianming Jiang
Journal:  Genes Dis       Date:  2020-11-21

2.  CircSRSF4 Enhances Proliferation, Invasion, and Migration to Promote the Progression of Osteosarcoma via Rac1.

Authors:  Xiaoya Sun; Xuefeng Zhao; Shuangyan Xu; Yang Zhou; Zhen Jia; Yuebai Li
Journal:  Int J Mol Sci       Date:  2022-05-31       Impact factor: 6.208

3.  Surgical management of sarcoma in adolescent and young adult patients.

Authors:  Kazuhiko Hashimoto; Shunji Nishimura; Naohiro Oka; Masao Akagi
Journal:  BMC Res Notes       Date:  2020-05-26

4.  Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis.

Authors:  Denghua Liu; Rui Zhou; Aiguo Zhou
Journal:  Medicine (Baltimore)       Date:  2021-02-12       Impact factor: 1.817

5.  Identification of a seven-gene prognostic signature using the gene expression profile of osteosarcoma.

Authors:  Zhe Liu; Yun Zhong; Senling Meng; Qinyuan Liao; Weicai Chen
Journal:  Ann Transl Med       Date:  2022-01

6.  Risk and Prognostic Factors for Different Organ Metastasis in Primary Osteosarcoma: A Large Population-Based Analysis.

Authors:  Guijun Xu; Haixiao Wu; Yanting Zhang; Yao Xu; Xu Guo; Vladimir P Baklaushev; Vladimir P Chekhonin; Karl Peltzer; Jun Wang; Feng Lu; Guowen Wang; Xin Wang; Wenjuan Ma; Chao Zhang
Journal:  Orthop Surg       Date:  2022-03-16       Impact factor: 2.071

7.  Machine Learning-Based Prediction of Lymph Node Metastasis Among Osteosarcoma Patients.

Authors:  Wenle Li; Yafeng Liu; Wencai Liu; Zhi-Ri Tang; Shengtao Dong; Wanying Li; Kai Zhang; Chan Xu; Zhaohui Hu; Haosheng Wang; Zhi Lei; Qiang Liu; Chunxue Guo; Chengliang Yin
Journal:  Front Oncol       Date:  2022-04-20       Impact factor: 5.738

8.  Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.

Authors:  Helcio Mendonça Pereira; Maria Eugenia Leite Duarte; Igor Ribeiro Damasceno; Luiz Afonso de Oliveira Moura Santos; Marcello Henrique Nogueira-Barbosa
Journal:  Br J Radiol       Date:  2021-06-19       Impact factor: 3.629

Review 9.  Metastatic Progression of Osteosarcomas: A Review of Current Knowledge of Environmental versus Oncogenic Drivers.

Authors:  Guillaume Anthony Odri; Joëlle Tchicaya-Bouanga; Diane Ji Yun Yoon; Dominique Modrowski
Journal:  Cancers (Basel)       Date:  2022-01-12       Impact factor: 6.639

10.  Long non-coding RNA HCG11 enhances osteosarcoma phenotypes by sponging miR-1245b-5p that directly inhibits plakophilin 2.

Authors:  Hao Yan; Yong Zhou; Zhujiang Chen; Xiaokang Yan; Ling Zhu
Journal:  Bioengineered       Date:  2022-01       Impact factor: 3.269

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