“validation” of the proposed iaslc/itmig staging revisions of thymic carcinomas using data from...
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“Validation” of the Proposed IASLC/ITMIG Staging Revisions of
Thymic Carcinomas Using Data from 287 Patients
Yang Zhao; Heng ZhaoDivision of Thoracic Surgery
Shanghai Chest Hospital
AATS , Seattle, April 27th 2015
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Disclosure
No conflicts related to this presentation;
Not a true validation study, only evaluation process;
Some statistic flaw amended by professional statistic personnel with resultant new results and conclusions;
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BACKGROUND
• Thymic carcinoma : A relatively rare neoplasm;• With distinct pathologic and clinical characteristics
(overt cytological atypia;lack of organotypical features);
• First reported by Shimosato
(Am J Surg Pathol 1977;1:109–21);• Nomenclature: 1982, Snover, Levine, Rosai
(Am J Surg Pathol 1982;6:451-70);• 2004 WHO classification: 13 histological subtypes;
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• No official stage classification for thymic malignancies has been defined by the UICC and AJCC;
• From 2010, ITMIG recommended Masaoka-Koga stage classification system;
(James Huang. JCO 2010;5:2017-2023)
1981, Masaoka, based on 93 patients;
1994, Koga, based on 79 patients;
Has many ambiguities that have not been clearly defined
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• The Masaoka system is limited to thymomas and does not seem to properly predict the outcome of TC.
• Masaoka stage did not have any statistical impact on survival.
(Pier Luigi Filosso.Lung cacer 2014;83;205-210) (40cases) (Yang Zhao. Ann Thorac Surg 2013;96:1019–24) (105 cases) (Yusuke Okuma. Lung Cancer 2014;84:175-181) (68 cases) (Usman Ahmad. JTCVS 2015;149:95-101)
(ITMIG&ESTS,1042cases) (Motoki Yano. JTO 2008;3:265-269) (30 cases)
But not in the SEER cohort (Benny Weksler ATS2013;95:299-304)
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In 2014, the IASLC/ITMIG launched a worldwide
TNM staging proposal to inform the next edition
of thymic tumors.
Recommended that this proposed staging system is also applicable to thymic carcinomas.
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• The rationale of this study is that a solidly staging system should been subjected to an intense evaluation process before officially published and widely accepted.
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METHODS
• A retrospective review, single institution, consecutive patients,
Pathologically confirmed thymic carcinoma;
Carcinoid tumors were excluded ;
• Treated from February 2003 to April 2014;
• The last general follow-up of survivors was done at the end of October 2014;
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• 287 patients was enrolled and 263 (91.6%) of them had complete follow-up data.
• Follow-up data was completed with a median of 32.0 months (range, 1 - 149 months).
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Patients Characteristics
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Survival
• OS: 5-years = 63.0%; 10-years = 46.5%; the median survival time = 101.0 ± 19.1 months;• DFS: 5-years = 43.4%; 10-years = 23.5%; the median recurrence time = 40.0 ± 7.4 months;
• At the conclusion of the study: 127 patients (48.3%) were alive with no evidence of disease progression; 57 were alive with the disease (21.7%); 72 died with the disease (27.4%);
• Seven patients (2.7%) died from disease-unrelated causes postoperatively.
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A migration of stage distribution between these two system
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OS of our 263 TC patientsIASLC & ITMIG
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ITMIG & IASLC OS of our 263 TC patients
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Masaoka-Koga system Proposed TNM system
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Overall Survival
Masaoka-Koga system Proposed TNM system
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Disease-free Survival
Masaoka-Koga system Proposed TNM system
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Limitations:• Inherent biases associated with the retrospective study design;• Experience of a single center ;
Strengths:• An international classification system must be reproducible in the
diverse setting in which it is applied. In our 287 patients, 9.4% (27/287) managed nonsurgically, thus making this findings more generalizable.
• The prognostic ability of the staging system was verified by a multivariate analysis that considers other prognostic factors, i.e., sex, age, completeness of resection, yielding statistically valid analyses.
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Summary
• The proposed TNM staging system shows priority on predicting clinical course compared with the conventional Masaoka-Koga system in thymic carcinoma patients for its capability of predicting both OS and DFS efficiently, compared failure of Masaoka-Koga system on OS predicting.
• We advocate this new system to be an official one on our clinical practice.
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Thank you! Welcome to Shanghai!