Literature DB >> 27162665

Prognostic stratification of thymic epithelial tumors based on both Masaoka-Koga stage and WHO classification systems.

Geun Dong Lee1, Hyeong Ryul Kim1, Se Hoon Choi1, Yong-Hee Kim1, Dong Kwan Kim1, Seung-Il Park1.   

Abstract

BACKGROUND: The aims of this study were to stratify the risk of recurrence based on the Masaoka-Koga stage and World Health Organization (WHO) classification systems after R0-resection for thymic epithelial tumors (TETs).
METHODS: A retrospective analysis was conducted on 479 patients who underwent surgery between Jan 1994 and Feb 2014 for TETs. The study group comprised 251 males and 228 females, with a median age of 52 years (range, 15-84 years).
RESULTS: Of the 479 patients, 406 (84.8%) patients underwent R0-resection. Recurrence after R0-resection occurred in 32 patients during a median follow-up of 53 months (range, 2-227 months). A multivariate analysis revealed that the preoperative treatment including chemotherapy (P=0.036), Masaoka-Koga stage (P=0.011) and the WHO classification (P=0.001) were predictors for recurrence after R0-resection. Patients were stratified into four risk groups using a potential model incorporating both the Masaoka-Koga stage and WHO classifications. Group 1 comprised WHO types A/AB/B1 in stage I/II; Group 2 comprised WHO type A/AB/B1 in stage III or WHO type B2/B3 in stage I/II or WHO type C in stage I; Group 3 comprised Type B2/B3/C in stage III, or WHO type C in stage II/III; and Group 4 comprised WHO type B2/B3/C in stage IV. The 5-year freedom-from-recurrence (FFR) rates were 99.4% for group 1, 84.7% for group 2, 63.7% for group 3, and less than 44.4% for group 4 (P<0.001). In group 3, the rate of locoregional recurrence of patients treated with postoperative radiation therapy was lower than patients treated without postoperative radiation therapy (P=0.032).
CONCLUSIONS: A risk model incorporating both Masaoka-Koga stage and WHO classification systems may provide multi-faceted information about recurrence and adjuvant treatment after R0-resection of TETs.

Entities:  

Keywords:  Thymoma; recurrence; surgery; thymic carcinoma

Year:  2016        PMID: 27162665      PMCID: PMC4842806          DOI: 10.21037/jtd.2016.03.53

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  29 in total

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Authors:  Frank C Detterbeck; Kelly Stratton; Dorothy Giroux; Hisao Asamura; John Crowley; Conrad Falkson; Pier Luigi Filosso; Aletta A Frazier; Giuseppe Giaccone; James Huang; Jhingook Kim; Kazuya Kondo; Marco Lucchi; Mirella Marino; Edith M Marom; Andrew G Nicholson; Meinoshin Okumura; Enrico Ruffini; Paul Van Schil
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2.  Predictors of recurrence in thymic tumors: importance of invasion, World Health Organization histology, and size.

Authors:  Cameron D Wright; John C Wain; Daniel R Wong; Dean M Donahue; Henning A Gaissert; Hermes C Grillo; Douglas J Mathisen
Journal:  J Thorac Cardiovasc Surg       Date:  2005-10-13       Impact factor: 5.209

Review 3.  Standard outcome measures for thymic malignancies.

Authors:  James Huang; Frank C Detterbeck; Zuoheng Wang; Patrick J Loehrer
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4.  The IASLC/ITMIG thymic malignancies staging project: development of a stage classification for thymic malignancies.

Authors:  Frank C Detterbeck; Hisao Asamura; John Crowley; Conrad Falkson; Giuseppe Giaccone; Dori Giroux; James Huang; Jhingook Kim; Kazuya Kondo; Marco Lucchi; Mirella Marino; Edith M Marom; Andrew Nicholson; Meinoshin Okumura; Enrico Ruffini; Paul van Schil; Kelly Stratton
Journal:  J Thorac Oncol       Date:  2013-12       Impact factor: 15.609

5.  Masaoka stage and histologic grade predict prognosis in patients with thymic carcinoma.

Authors:  Yasuko Hosaka; Masanori Tsuchida; Shin-ichi Toyabe; Hajime Umezu; Tadaaki Eimoto; Jun-ichi Hayashi
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6.  The role of adjuvant radiation therapy for resected stage III thymoma: a population-based study.

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7.  New WHO histologic classification predicts prognosis of thymic epithelial tumors: a clinicopathologic study of 200 thymoma cases from China.

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Authors:  Kazuo Nakagawa; Hisao Asamura; Yoshihiro Matsuno; Kenji Suzuki; Haruhiko Kondo; Arafumi Maeshima; Etsuo Miyaoka; Ryosuke Tsuchiya
Journal:  J Thorac Cardiovasc Surg       Date:  2003-10       Impact factor: 5.209

9.  Novel prognostic groups in thymic epithelial tumors: assessment of risk and therapeutic strategy selection.

Authors:  Rolando M D'Angelillo; Lucio Trodella; Sara Ramella; Numa Cellini; Mario Balducci; Giovanna Mantini; Francesco Cellini; Marzia Ciresa; Michele Fiore; Amelia Evoli; Silvia Sterzi; Patrizia Russo; Alessia Grozio; Alfredo Cesario; Pierluigi Granone
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-12-31       Impact factor: 7.038

10.  Comparison of stages I-II thymoma treated by complete resection with or without adjuvant radiation.

Authors:  Sunil Singhal; Joseph B Shrager; David I Rosenthal; Virginia A LiVolsi; Larry R Kaiser
Journal:  Ann Thorac Surg       Date:  2003-11       Impact factor: 4.330

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2.  Long term oncological outcome of thymoma and thymic carcinoma - an analysis of 235 cases from a single institution.

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3.  Value of Adjuvant Radiotherapy for Thymoma with Myasthenia Gravis after Extended Thymectomy.

Authors:  Chang-Feng Lu; Lei Yu; Yun Jing; Yun-Feng Zhang; Ji Ke
Journal:  Chin Med J (Engl)       Date:  2018-04-20       Impact factor: 2.628

4.  Development of a deep learning model for classifying thymoma as Masaoka-Koga stage I or II via preoperative CT images.

Authors:  Lei Yang; Wenjia Cai; Xiaoyu Yang; Haoshuai Zhu; Zhenguo Liu; Xi Wu; Yiyan Lei; Jianyong Zou; Bo Zeng; Xi Tian; Rongguo Zhang; Honghe Luo; Ying Zhu
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5.  The role of postoperative radiotherapy for thymomas: a multicentric retrospective evaluation from three Italian centers and review of the literature.

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Authors:  Jordan Bakhriansyah; I Gede Parama Gandi Semita; I Gde Rurus Suryawan; Yusuf Azmi; Irfan Deny Sanjaya; Risma Ikawaty; David Nugraha; Firas Farisi Alkaff
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7.  Prognostic factors for overall survival after surgical resection in patients with thymic epithelial tumors: A systematic review and meta-analysis.

Authors:  Jiaduo Li; Yaling Liu; Xiaohe Zhang; Xuguang Zheng; Guoyan Qi
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