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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2024-01-01
Series:World Journal of Surgical Oncology
Subjects:
Online Access:https://doi.org/10.1186/s12957-023-03293-2
_version_ 1827329147694743552
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.
first_indexed 2024-03-07T15:29:43Z
format Article
id doaj.art-69359bf2d1f54a07b02604b9f4f6435a
institution Directory Open Access Journal
issn 1477-7819
language English
last_indexed 2024-03-07T15:29:43Z
publishDate 2024-01-01
publisher BMC
record_format Article
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
work_keys_str_mv AT kezhao reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT leiliu reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT xiaoyunzhou reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT guigewang reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT jiaqizhang reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT xuehangao reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT libingyang reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT kerao reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT chaoguo reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT yezhang reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT chenghuang reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT hongshengliu reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT shanqingli reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel
AT yeyechen reexplorationofprognosisintypebthymomasestablishmentofapredictivenomogrammodel