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Promoter Mutations and the 8th Edition TNM Classification in Predicting the Survival of Thyroid Cancer Patients. | LitMetric

Promoter Mutations and the 8th Edition TNM Classification in Predicting the Survival of Thyroid Cancer Patients.

Cancers (Basel)

Division of Endocrinology & Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea.

Published: February 2021

Our research group has previously shown that the presence of promoter mutations is an independent prognostic factor, by applying the mutation status to the variables of the AJCC 7th edition. This study aimed to determine if mutations could be independent predictors of thyroid cancer-specific mortality based on the AJCC TNM 8th edition, with long-term follow-up. This was a retrospective study of 393 patients with pathologically confirmed differentiated thyroid carcinoma (DTC) after thyroidectomy at a tertiary Korean hospital from 1994 to 2004. The thyroid cancer-specific mortality rate was 6.9% (5.2% for papillary and 15.2% for follicular cancers). promoter mutations were identified in 10.9% (43/393) of DTC cases (9.8% of papillary and 16.7% of follicular cancer) and were associated with older age ( < 0.001), the presence of extrathyroidal invasion ( < 0.001), distant metastasis ( = 0.001), and advanced stage at diagnosis ( < 0.001). The 10-year survival rate in mutant was 67.4% for DTC patients (vs. 98% for wild-type; adjusted hazard ratio (HR) of 9.93, (95% CI: 3.67-26.90)) and 75% for patients with papillary cancer (vs. 99%; 18.55 (4.83-71.18)). In addition, promoter mutations were related to poor prognosis regardless of histologic type ( < 0.001 for both papillary and follicular cancer) or initial stage ( < 0.001, = 0.004, and = 0.086 for stages I, II, and III and IV, respectively). promoter mutations comprise an independent poor prognostic factor after adjusting for the clinicopathological risk factors of the AJCC TNM 8th edition, histologic type, and each stage at diagnosis, which could increase prognostic predictability for patients with DTC.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915040PMC
http://dx.doi.org/10.3390/cancers13040648DOI Listing

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