Prognostic Factors and Treatment Options for Patients with High-Grade Chondrosarcoma Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.12659/msm.917959
BACKGROUND The goal of this study was to determine the prognostic factors exclusive for high-grade chondrosarcoma and whether adjuvant radiotherapy could achieve better overall survival (OS) or cancer-specific survival (CSS) for patients with high-grade chondrosarcoma. MATERIAL AND METHODS Surveillance, Epidemiology, and End Results (SEER) cancer registry database was utilized to extract the chondrosarcoma cases diagnosed between 1973 and 2014. Among these cases, the histological grades of poorly differentiated (grade 3) and undifferentiated (grade 4) were categorized as high-grade and included in this study. Chondrosarcoma OS and CSS were the primary outcomes in the present study. The log-rank test was performed for univariate analysis, and the Cox regression model was conducted for multivariate analysis. RESULTS A total of 743 patients with high-grade chondrosarcoma were identified in this study (430 cases were poorly differentiated tumors, and 313 cases were undifferentiated tumors). Age at diagnosis, pathological grade, histo-type, SEER stage, tumor size and surgical resection were identified as independent predictors in both OS and CSS analysis of high-grade chondrosarcoma. When stratified by histological grade, surgical resection remained the effective treatment. Strikingly, radiotherapy was determined as an independent protective factor in both OS and CSS analysis of undifferentiated (grade 4) dedifferentiated chondrosarcoma, and adjuvant radiotherapy combined surgical resection could improve both the OS and CSS of patients with undifferentiated myxoid and dedifferentiated chondrosarcoma compared with other treatment regimens. CONCLUSIONS Our study first demonstrated that adjuvant radiotherapy combined surgery could improve the survival of patients with undifferentiated myxoid and dedifferentiated chondrosarcoma. These results encourage the application of adjuvant radiotherapy for patients with high-grade chondrosarcoma and maximize the patients' outcome.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.12659/msm.917959
- https://medscimonit.com/download/index/idArt/917959
- OA Status
- hybrid
- Cited By
- 26
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2990040993
Raw OpenAlex JSON
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https://openalex.org/W2990040993Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.12659/msm.917959Digital Object Identifier
- Title
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Prognostic Factors and Treatment Options for Patients with High-Grade ChondrosarcomaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-11-25Full publication date if available
- Authors
-
Zhongyang Gao, Teng Lü, Hui Song, Zhengchao Gao, Fenggang Ren, Pengrong Ouyang, Yibin Wang, Junjie Zhu, Songlin Zhou, Xijing HeList of authors in order
- Landing page
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https://doi.org/10.12659/msm.917959Publisher landing page
- PDF URL
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https://medscimonit.com/download/index/idArt/917959Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://medscimonit.com/download/index/idArt/917959Direct OA link when available
- Concepts
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Chondrosarcoma, Medicine, Radiation therapy, Univariate analysis, Pathological, Oncology, Proportional hazards model, Internal medicine, Adjuvant radiotherapy, Stage (stratigraphy), Multivariate analysis, Surgery, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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26Total citation count in OpenAlex
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2025: 3, 2024: 3, 2023: 6, 2022: 8, 2021: 4Per-year citation counts (last 5 years)
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51Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.regimens. | 223 |
| abstract_inverted_index.resection | 151, 172, 203 |
| abstract_inverted_index.treatment | 222 |
| abstract_inverted_index.BACKGROUND | 0 |
| abstract_inverted_index.determined | 180 |
| abstract_inverted_index.diagnosis, | 141 |
| abstract_inverted_index.high-grade | 14, 33, 77, 120, 164, 257 |
| abstract_inverted_index.identified | 123, 153 |
| abstract_inverted_index.predictors | 156 |
| abstract_inverted_index.prognostic | 10 |
| abstract_inverted_index.protective | 184 |
| abstract_inverted_index.regression | 106 |
| abstract_inverted_index.stratified | 167 |
| abstract_inverted_index.treatment. | 176 |
| abstract_inverted_index.univariate | 101 |
| abstract_inverted_index.CONCLUSIONS | 224 |
| abstract_inverted_index.Strikingly, | 177 |
| abstract_inverted_index.application | 250 |
| abstract_inverted_index.categorized | 75 |
| abstract_inverted_index.histo-type, | 144 |
| abstract_inverted_index.independent | 155, 183 |
| abstract_inverted_index.demonstrated | 228 |
| abstract_inverted_index.histological | 63, 169 |
| abstract_inverted_index.multivariate | 111 |
| abstract_inverted_index.pathological | 142 |
| abstract_inverted_index.radiotherapy | 19, 178, 200, 231, 253 |
| abstract_inverted_index.Epidemiology, | 39 |
| abstract_inverted_index.Surveillance, | 38 |
| abstract_inverted_index.Chondrosarcoma | 83 |
| abstract_inverted_index.chondrosarcoma | 15, 52, 121, 218, 258 |
| abstract_inverted_index.differentiated | 67, 131 |
| abstract_inverted_index.cancer-specific | 27 |
| abstract_inverted_index.chondrosarcoma, | 197 |
| abstract_inverted_index.chondrosarcoma. | 34, 165, 245 |
| abstract_inverted_index.dedifferentiated | 196, 217, 244 |
| abstract_inverted_index.undifferentiated | 71, 137, 193, 214, 241 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.89819067 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |