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Clinical validation of the prognostic stage groups of the eighth-edition TNM staging for medullary thyroid carcinoma

  • Gyeongsang National University
  • Samsung Changwon Medical Center
  • Sungkyunkwan University

Research output: Contribution to journalArticlepeer-review

Abstract

Context: Despite advances in thyroid cancer staging systems, considerable controversy about the current staging system for medullary thyroid carcinoma (MTC) continues. Objective: We aimed to evaluate the prognostic performance of the current eighth edition of the American Joint Committee on Cancer (AJCC)/Union for International Cancer Control TNM staging system (TNM-8) and the alternative proposed prognostic stage groups based on recursive partitioning analysis (TNM-RPA). Design, Setting, and Patients: We retrospectively analyzed 182 patients with MTC treated at a single tertiary Korean hospital between 1995 and 2015. Interventions and Main Outcome Measures: Survival analysis was conducted according to TNM-8 and TNM-RPA. The area under the receiver-operating characteristic curve (AUC), the proportion of variation explained (PVE), and the Harrell concordance index (C-index) were used to evaluate predictive performance. Results: Under TNM-8, only two (1.1%) patients were downstaged compared with the seventh edition of the AJCC TNM staging system (TNM-7). The AUC at 10 years, PVE, and C-index were 0.679, 8.7%, and 0.744 for TNM-7 and 0.681, 8.9%, and 0.747 for TNM-8, respectively. Under TNM-RPA, 104 (57.14%) patients were downstaged compared with TNM-8. TNM-RPA had better prognostic performance with respect to cancer-specific survival (AUC at 10 years, 0.750; PVE, 20.9%; C-index, 0.881). Conclusions: The predictive performance of the revised TNM-8 in patients with MTC has not changed despite its modification from TNM-7. The proposed changes in TNM-RPA were statistically valid and may present a more reproducible system that better estimates cancer-specific survival of individual patients.

Original languageEnglish
Pages (from-to)4609-4616
Number of pages8
JournalJournal of Clinical Endocrinology and Metabolism
Volume103
Issue number12
DOIs
StatePublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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