Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database
Background: Osteosarcoma is a rare type of bone tumor, and this study aimed to assess the clinicopathologic features and prognoses of osteosarcoma patients. Methods: Clinicopathologic and survival data of 1025 patients between 2010 and 2016, 230 between 2008 and 2009 were downloaded and analyzed fro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2020-08-01
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| Series: | Technology in Cancer Research & Treatment |
| Online Access: | https://doi.org/10.1177/1533033820947701 |
| _version_ | 1818276529519460352 |
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| author | Peng Fu MD Yu Shi PhD Gang Chen MD Yaohua Fan MD Yanhong Gu PhD Zhenzhen Gao PhD |
| author_facet | Peng Fu MD Yu Shi PhD Gang Chen MD Yaohua Fan MD Yanhong Gu PhD Zhenzhen Gao PhD |
| author_sort | Peng Fu MD |
| collection | DOAJ |
| description | Background: Osteosarcoma is a rare type of bone tumor, and this study aimed to assess the clinicopathologic features and prognoses of osteosarcoma patients. Methods: Clinicopathologic and survival data of 1025 patients between 2010 and 2016, 230 between 2008 and 2009 were downloaded and analyzed from the SEER database. Patients’ survival was analyzed using the Kaplan-Meier analysis; prognostic factors were assessed using the Cox regression hazards model. The 1-, 3-, and 5-year survival rates were estimated with nomogram. Competitive risk models were used to identify prognostic risk factors related to endpoint events of osteosarcoma patients. Results: Overall, 722 samples were obtained from the extremities, 134 from the axial bones, and 119 from the cranial and mandible in SEER (2010-2016 cohort). After the preliminary diagnosis, the median survival time of patients with osteosarcoma was 39 months, and the 1-, 3-, and 5-year survival rates were 87.3%, 67.2%, and 58.0%, respectively (P < 0.001). The competitive risk model revealed no competitive risks of the endpoint event. Conclusion: Our study found out the prognostic factors in patients with Osteosarcoma by Cox regression hazards model, after that, nomogram was established to predict the 1-, 3-, and 5-year survival rates, which may help oncologists to understand the highly malignant tumor. |
| first_indexed | 2024-12-12T22:47:06Z |
| format | Article |
| id | doaj.art-e03f231a35c2414f9931cb88a3f92901 |
| institution | Directory Open Access Journal |
| issn | 1533-0338 |
| language | English |
| last_indexed | 2024-12-12T22:47:06Z |
| publishDate | 2020-08-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Technology in Cancer Research & Treatment |
| spelling | doaj.art-e03f231a35c2414f9931cb88a3f929012022-12-22T00:09:10ZengSAGE PublishingTechnology in Cancer Research & Treatment1533-03382020-08-011910.1177/1533033820947701Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results DatabasePeng Fu MD0Yu Shi PhD1Gang Chen MD2Yaohua Fan MD3Yanhong Gu PhD4Zhenzhen Gao PhD5 Department of Orthopedic, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China Department of Radiotherapy, , Nantong, China Department of Orthopedic, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China Department of Clinical Oncology, , Jiaxing, China Department of Clinical Oncology, , Nanjing, China Department of Clinical Oncology, , Jiaxing, ChinaBackground: Osteosarcoma is a rare type of bone tumor, and this study aimed to assess the clinicopathologic features and prognoses of osteosarcoma patients. Methods: Clinicopathologic and survival data of 1025 patients between 2010 and 2016, 230 between 2008 and 2009 were downloaded and analyzed from the SEER database. Patients’ survival was analyzed using the Kaplan-Meier analysis; prognostic factors were assessed using the Cox regression hazards model. The 1-, 3-, and 5-year survival rates were estimated with nomogram. Competitive risk models were used to identify prognostic risk factors related to endpoint events of osteosarcoma patients. Results: Overall, 722 samples were obtained from the extremities, 134 from the axial bones, and 119 from the cranial and mandible in SEER (2010-2016 cohort). After the preliminary diagnosis, the median survival time of patients with osteosarcoma was 39 months, and the 1-, 3-, and 5-year survival rates were 87.3%, 67.2%, and 58.0%, respectively (P < 0.001). The competitive risk model revealed no competitive risks of the endpoint event. Conclusion: Our study found out the prognostic factors in patients with Osteosarcoma by Cox regression hazards model, after that, nomogram was established to predict the 1-, 3-, and 5-year survival rates, which may help oncologists to understand the highly malignant tumor.https://doi.org/10.1177/1533033820947701 |
| spellingShingle | Peng Fu MD Yu Shi PhD Gang Chen MD Yaohua Fan MD Yanhong Gu PhD Zhenzhen Gao PhD Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database Technology in Cancer Research & Treatment |
| title | Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database |
| title_full | Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database |
| title_fullStr | Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database |
| title_full_unstemmed | Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database |
| title_short | Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database |
| title_sort | prognostic factors in patients with osteosarcoma with the surveillance epidemiology and end results database |
| url | https://doi.org/10.1177/1533033820947701 |
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