Development and validation of a prognostic nomogram model in primary cutaneous and subcutaneous soft tissue angiosarcoma
The current study aimed to investigate the prognosis and treatment of primary cutaneous angiosarcoma (PCA) and primary subcutaneous angiosarcoma (PSCA), and tried to develop a prognostic nomogram model of them. A total of 1763 cases retrieved from the Surveillance, Epidemiology, and End Results (SEE...
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Published in: | The Journal of dermatological treatment Vol. 33; no. 5; pp. 2466 - 2474 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Taylor & Francis
04-07-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | The current study aimed to investigate the prognosis and treatment of primary cutaneous angiosarcoma (PCA) and primary subcutaneous angiosarcoma (PSCA), and tried to develop a prognostic nomogram model of them.
A total of 1763 cases retrieved from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed. Survival analyses were performed to explore the prognosis of patients and the effects of different treatment methods. All data were randomly allocated into a training set and a testing set to develop and validate the nomogram model.
The findings showed that age, sex, grade, tumor size, multiple primary malignant tumors, stage, primary site surgery (PSS), radiotherapy (RT), and chemotherapy (CT) were correlated with prognosis (p < .05). The nomogram achieved good accuracy in predicting the prognosis. PSS + RT + CT showed the best prognosis for patients in stages I, II, and III (p < .05).
PCA and PSCA are rare with poor prognoses. Patients undergoing PSS may not gain survival benefits from combining with RT or (and) CT, whereas PSS + RT + CT should be actively performed in earlier stages to improve the prognosis of patients. The nomogram model can be used to predict the overall survival rate and guide better treatment. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0954-6634 1471-1753 |
DOI: | 10.1080/09546634.2021.1968333 |