Artigo Acesso aberto Revisado por pares

Clinical Validation of the Prognostic Stage Groups of the Eighth-Edition TNM Staging for Medullary Thyroid Carcinoma

2018; Oxford University Press; Volume: 103; Issue: 12 Linguagem: Inglês

10.1210/jc.2018-01386

ISSN

1945-7197

Autores

So Young Park, Yoon Young Cho, Hye In Kim, Jun‐Ho Choe, Jung‐Han Kim, Jee Soo Kim, Young Lyun Oh, Soo Yeon Hahn, Jung Hee Shin, Kyunga Kim, Sun Wook Kim, Jae Hoon Chung, Tae Hyuk Kim,

Tópico(s)

Global Cancer Incidence and Screening

Resumo

Despite advances in thyroid cancer staging systems, considerable controversy about the current staging system for medullary thyroid carcinoma (MTC) continues.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).We retrospectively analyzed 182 patients with MTC treated at a single tertiary Korean hospital between 1995 and 2015.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.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).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.

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