Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model
Abstract Objective To explore the risk factors for disease progression after initial treatment of type B thymomas using a predictive nomogram model. Methods A single-center retrospective study of patients with type B thymoma was performed. The Cox proportional hazard model was used for univariate an...
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BMC
2024-01-01
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Series: | World Journal of Surgical Oncology |
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Online Access: | https://doi.org/10.1186/s12957-023-03293-2 |
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author | Ke Zhao Lei Liu Xiaoyun Zhou Guige Wang Jiaqi Zhang Xuehan Gao Libing Yang Ke Rao Chao Guo Ye Zhang Cheng Huang Hongsheng Liu Shanqing Li Yeye Chen |
author_facet | Ke Zhao Lei Liu Xiaoyun Zhou Guige Wang Jiaqi Zhang Xuehan Gao Libing Yang Ke Rao Chao Guo Ye Zhang Cheng Huang Hongsheng Liu Shanqing Li Yeye Chen |
author_sort | Ke Zhao |
collection | DOAJ |
description | Abstract Objective To explore the risk factors for disease progression after initial treatment of type B thymomas using a predictive nomogram model. Methods A single-center retrospective study of patients with type B thymoma was performed. The Cox proportional hazard model was used for univariate and multivariate analyses. Variables with statistical and clinical significance in the multivariate Cox regression were integrated into a nomogram to establish a predictive model for disease progression. Results A total of 353 cases with type B thymoma were retrieved between January 2012 and December 2021. The median follow-up was 58 months (range: 1–128 months). The 10-year progression-free survival (PFS) was 91.8%. The final nomogram model included R0 resection status and Masaoka stage, with a concordance index of 0.880. Non-R0 resection and advanced Masaoka stage were negative prognostic factors for disease progression (p < 0.001). No benefits of postoperative radiotherapy (PORT) were observed in patients with advanced stage and non-R0 resection (p = 0.114 and 0.284, respectively). Conclusion The best treatment strategy for type B thymoma is the detection and achievement of R0 resection as early as possible. Long-term follow-up is necessary, especially for patients with advanced Masaoka stage and who have not achieved R0 resection. No prognostic benefits were observed for PORT. |
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id | doaj.art-69359bf2d1f54a07b02604b9f4f6435a |
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issn | 1477-7819 |
language | English |
last_indexed | 2024-03-07T15:29:43Z |
publishDate | 2024-01-01 |
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series | World Journal of Surgical Oncology |
spelling | doaj.art-69359bf2d1f54a07b02604b9f4f6435a2024-03-05T16:31:39ZengBMCWorld Journal of Surgical Oncology1477-78192024-01-012211710.1186/s12957-023-03293-2Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram modelKe Zhao0Lei Liu1Xiaoyun Zhou2Guige Wang3Jiaqi Zhang4Xuehan Gao5Libing Yang6Ke Rao7Chao Guo8Ye Zhang9Cheng Huang10Hongsheng Liu11Shanqing Li12Yeye Chen13Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegePeking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical CollegeAbstract Objective To explore the risk factors for disease progression after initial treatment of type B thymomas using a predictive nomogram model. Methods A single-center retrospective study of patients with type B thymoma was performed. The Cox proportional hazard model was used for univariate and multivariate analyses. Variables with statistical and clinical significance in the multivariate Cox regression were integrated into a nomogram to establish a predictive model for disease progression. Results A total of 353 cases with type B thymoma were retrieved between January 2012 and December 2021. The median follow-up was 58 months (range: 1–128 months). The 10-year progression-free survival (PFS) was 91.8%. The final nomogram model included R0 resection status and Masaoka stage, with a concordance index of 0.880. Non-R0 resection and advanced Masaoka stage were negative prognostic factors for disease progression (p < 0.001). No benefits of postoperative radiotherapy (PORT) were observed in patients with advanced stage and non-R0 resection (p = 0.114 and 0.284, respectively). Conclusion The best treatment strategy for type B thymoma is the detection and achievement of R0 resection as early as possible. Long-term follow-up is necessary, especially for patients with advanced Masaoka stage and who have not achieved R0 resection. No prognostic benefits were observed for PORT.https://doi.org/10.1186/s12957-023-03293-2NomogramThymomaPredictive modelType BPrognosis |
spellingShingle | Ke Zhao Lei Liu Xiaoyun Zhou Guige Wang Jiaqi Zhang Xuehan Gao Libing Yang Ke Rao Chao Guo Ye Zhang Cheng Huang Hongsheng Liu Shanqing Li Yeye Chen Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model World Journal of Surgical Oncology Nomogram Thymoma Predictive model Type B Prognosis |
title | Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model |
title_full | Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model |
title_fullStr | Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model |
title_full_unstemmed | Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model |
title_short | Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model |
title_sort | re exploration of prognosis in type b thymomas establishment of a predictive nomogram model |
topic | Nomogram Thymoma Predictive model Type B Prognosis |
url | https://doi.org/10.1186/s12957-023-03293-2 |
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