Literature DB >> 31968190

TUMOR SIZE IS AN INDEPENDENT PREDICTOR OF MORTALITY RISK IN DIFFERENTIATED THYROID CANCER PATIENTS WITH T4 DISEASE.

Zhengshi Wang, Qian Zhang, Hongmei Ye, Chengyou Jia, Zhongwei Lv, Jun Liu, Zhiqiang Yin.   

Abstract

Objective: The eighth edition of the American Joint Committee on Cancer (AJCC) guideline on the tumor-node-metastasis staging system has been applied in clinical practice for thyroid cancer since 2018. However, using these criteria, a few studies have shown no significant difference between stage III and IV diseases amongst the differentiated thyroid cancer (DTC) patients. Thus, we aimed to study the underlying reason behind this observation.
Methods: Patients were selected from the Surveillance, Epidemiology, and End Results database between 2004 and 2015. The Cox proportional hazards regression model was used for the univariate and multivariate analyses to plot the Kaplan-Meier survival curves for overall survival (OS) and disease-specific survival (DSS).
Results: A total of 1,431 patients had a median tumor size of 3.0 cm (range: 0.1 to 50 cm). When stratified by tumor size (≤2 cm, 2 to 4 cm, and >4 cm), lower survival rates were observed in patients with stage III (T4a) cancer and large tumor size than in those with stage IVA (T4b) cancer and small tumor size. Univariate and multivariate analyses showed that tumor size (≤4 cm versus >4 cm) is an independent prognostic factor for OS (P<.001) and DSS (P<.001) in DTC patients with T4a and T4b diseases.
Conclusion: Tumor size is an independent prognostic factor for OS and DSS in DTC patients with T4 disease; tumor size-related modification of the T4 category can improve the AJCC staging system for DTC patient with stage III-IV diseases. Abbreviations: AJCC = American Joint Committee on Cancer; CI = confidence interval; DSS = disease-specific survival; DTC = differentiated thyroid cancer; FTC = follicular thyroid cancer; HR = hazard ratio; OS = overall survival; PTC = papillary thyroid cancer; SEER = Surveillance, Epidemiology, and End Results; TNM = tumor-node-metastasis.

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Year:  2020        PMID: 31968190     DOI: 10.4158/EP-2019-0385

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  2 in total

1.  A nomogram for predicting overall-specific survival in thyroid cancer patients with total thyroidectomy: a SEER database analysis.

Authors:  Cheng Wang; Lei Dai; Xianjiang Wu; Zesheng Wang
Journal:  Gland Surg       Date:  2021-08

2.  Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.

Authors:  Wenfei Liu; Shoufei Wang; Ziheng Ye; Peipei Xu; Xiaotian Xia; Minggao Guo
Journal:  Cancer Med       Date:  2022-02-22       Impact factor: 4.711

  2 in total

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