Cao Yi-Ming, Zhang Ting-Ting, Li Bao-Yuan, Qu Ning, Zhu Yong-Xue
Department of Head & Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Gland Surg. 2021 Jul;10(7):2170-2179. doi: 10.21037/gs-21-100.
Prognostic evaluation model for papillary thyroid cancer is very important for guiding the personalized treatment and follow-up strategy. There are imperfections in the system existed, and there is no suitable prognostic model for Chinese population.
This study was based on the clinic and follow-up data of 660 patients received surgical treatments in the Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center from 2000 to 2005. Cox univariate/multivariate analysis was used to explore the influence factors of prognosis, and nomogram model was performed to establish a prognostic prediction system.
Totally, 660 patients for initial treatment were included in our analysis with a median follow-up of 113.5 months. Five-, 10- and 15-year disease-free survival rate was 95.5%, 90.2% and 89.2%. Five-, 10- and 15-year overall survival rate was 99.7%, 99.2% and 99.1%. Residual tumor was associated with overall survival [hazard ratio (HR) 20.9, 95% confidence interval (CI): 2.3-187.6, P<0.05]. Age of onset (HR 2.00, 95% CI: 1.17-3.42, P<0.05) and the dimension of lymph nodes involved (0.2-3 cm: HR 3.67, 95% CI: 1.13-11.87, P<0.05; >3 cm: HR 5.20, 95% CI: 1.31-20.65, P<0.05) were independent influence factors of disease-free survival. The nomogram model for predicting prognosis of papillary thyroid cancer was established with a moderate predictive value (c-index 0.71, 95% CI: 0.57-0.84).
The prognosis of papillary thyroid cancer is very good after appropriate treatment. Age and the dimension of lymph nodes involved were independent influence factors of disease-free survival for papillary thyroid cancer. A prognostic prediction model for Chinese population was established with moderate predictive value. A study with larger samples and including more factors of prognosis is necessary to increase the predictive value of model.
甲状腺乳头状癌的预后评估模型对于指导个体化治疗及随访策略非常重要。现有系统存在不完善之处,且尚无适用于中国人群的合适预后模型。
本研究基于2000年至2005年在复旦大学附属肿瘤医院头颈外科接受手术治疗的660例患者的临床及随访数据。采用Cox单因素/多因素分析探讨预后的影响因素,并构建列线图模型以建立预后预测系统。
共纳入660例初始治疗患者进行分析,中位随访时间为113.5个月。5年、10年和15年无病生存率分别为95.5%、90.2%和89.2%。5年、10年和15年总生存率分别为99.7%、99.2%和99.1%。残留肿瘤与总生存相关[风险比(HR)20.9,95%置信区间(CI):2.3 - 187.6,P<0.05]。发病年龄(HR 2.00,95% CI:1.17 - 3.42,P<0.05)和受累淋巴结大小(0.2 - 3 cm:HR 3.67,95% CI:1.13 - 11.87,P<0.05;>3 cm:HR 5.20,95% CI:1.31 - 20.65,P<0.05)是无病生存的独立影响因素。建立了甲状腺乳头状癌预后预测的列线图模型,其预测价值中等(c指数0.71,95% CI:0.57 - 0.84)。
经过适当治疗后,甲状腺乳头状癌的预后非常好。年龄和受累淋巴结大小是甲状腺乳头状癌无病生存的独立影响因素。建立了具有中等预测价值的中国人群预后预测模型。有必要开展更大样本量且纳入更多预后因素的研究以提高模型的预测价值。