A Recurrence Predictive Model for Thymic Tumors and Its Implication for Postoperative Management: a Chinese Alliance for Research in Thymomas Database Study
机构:[1]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State KeyLaboratory of Oncology in South China, Collaborative Innovation Center of CancerMedicine, Guangzhou, China[2]Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao TongUniversity, Shanghai, China[3]Department of Thoracic Surgery, Yale Cancer Center, USA[4]Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, MN, USA[5]Department of Thoracic Surgery, University of Torino, Italy[6]Department of General Thoracic Surgery, Osaka University, Japan[7]Thorax Institute Curie Montsouris, Institut Curie, Paris, France[8]Department of Thoracic Surgery and Lung Transplantation, First Affiliated Hospital,School of Medicine, Zhejiang University, Hangzhou, China浙江大学医学院附属第一医院[9]School of Public Health, Sun Yat-sen University, Guangzhou, China[10]Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State KeyLaboratory of Oncology in South China, Collaborative Innovation Center of CancerMedicine, Guangzhou, China[11]Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin,China[12]Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai,China[13]Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing, China[14]Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu,China四川大学华西医院[15]Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin, China
Objective: Our aim was to investigate appropriate postoperative management based on the risk of disease recurrence in thymic epithelial tumors after complete resection. Methods: The Chinese Alliance for Research in Thymomas retrospective database was reviewed. Patients having stage I to IIIa tumors without pretreatment and with complete resection were included. Clinicopathologic variables with statistical significance in the multivariate Cox regression were incorporated into a nomogram for building a recurrence predictive model. Results: A total of 907 cases, including 802 thymomas, 88 thymic carcinomas, and 17 neuroendocrine tumors, were retrieved between 1994 and 2012. With a median follow-up of 52 months, the 10-year overall survival rate was 89.5%. Distant and/or locoregional recurrences were noted in 53 patients (5.8%). The nomogram model revealed histologic type and T stage as independent predictive factors for recurrence, with a bootstrap-corrected C-index of 0.86. On the basis of this model, patients with T1 thymomas or T2 or T3 type A, AB, or B1 thymomas had a significantly lower incidence of recurrence (low-risk group) than those with T2 or T3 type B2 or B3 thymomas and all thymic carcinomas and neuroendocrine tumors (high-risk group) (2.7% versus 20.1% [p < 0.001]). In the high-risk group, more than half of the recurrences (55.2% [16 of 29]) were seen within the first 3 postoperative years, whereas all recurrences but one were recorded within 6 years after surgery. Recurrence occurred quite evenly over 10 postoperative years in the low-risk group. Conclusions: A 6-year active surveillance should be considered in high-risk patients regardless of adjuvant therapy. For low-risk patients, annual follow-up may be sufficient. Studies examining postoperative adjuvant therapies would be plausible in high-risk patients. (C) 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.
第一作者机构:[1]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State KeyLaboratory of Oncology in South China, Collaborative Innovation Center of CancerMedicine, Guangzhou, China
共同第一作者:
通讯作者:
通讯机构:[2]Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao TongUniversity, Shanghai, China[*1]Department of Thoracic Surgery,Shanghai Chest Hospital,Shanghai Jiao Tong University Medical School,241 Huaihai Road West, Shanghai 200030, China
推荐引用方式(GB/T 7714):
Hui Liu,ZhiTao Gu,Bo Qiu,et al.A Recurrence Predictive Model for Thymic Tumors and Its Implication for Postoperative Management: a Chinese Alliance for Research in Thymomas Database Study[J].JOURNAL OF THORACIC ONCOLOGY.2020,15(3):448-456.doi:10.1016/j.jtho.2019.10.018.
APA:
Hui Liu,ZhiTao Gu,Bo Qiu,Frank C. Detterbeck,Anja C. Roden...&WenTao Fang.(2020).A Recurrence Predictive Model for Thymic Tumors and Its Implication for Postoperative Management: a Chinese Alliance for Research in Thymomas Database Study.JOURNAL OF THORACIC ONCOLOGY,15,(3)
MLA:
Hui Liu,et al."A Recurrence Predictive Model for Thymic Tumors and Its Implication for Postoperative Management: a Chinese Alliance for Research in Thymomas Database Study".JOURNAL OF THORACIC ONCOLOGY 15..3(2020):448-456