Yin Lei, Hou Shuang, Hou Li-Li, Pu Chen-Chen
Department of Breast and Thyroid Surgery, Wuzhong People's Hospital of Suzhou City, Suzhou, Jiangsu, China.
Department of Breast and Thyroid Surgery, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, Taicang, Jiangsu, China.
Endocrine. 2023 Feb;79(2):331-341. doi: 10.1007/s12020-022-03200-x. Epub 2022 Oct 7.
Insular thyroid carcinoma (ITC) is an uncommon poorly differentiated thyroid malignancy. Due to its rarity, its demographic and clinicopathological features and survival remains unclear. The present study aimed to describe the features and survival of ITC, determine its prognostic factors, and establish a prognostic nomogram.
Patients with ITC were identified in the Surveillance, Epidemiology, and End Results database from 2004 to 2019. The features and survival of patients with ITC and other thyroid carcinomas were compared after balancing the baseline characteristics using propensity score matching (PSM). Univariate and multivariate Cox analyses were used to identify the prognostic factors for ITC. Moreover, overall survival (OS)- or cancer-specific survival (CSS)-specific nomograms were established to predict ITC prognosis.
A total of 206 patients with ITCs were identified. The 1-, 2-, 5-, and 10-year OS rates of 206 patients with ITC were 90.3%, 82.0%, 62.2%, and 42.5%, respectively. The median OS was 93 months (95% CI, 73.0-140.0), while the median CSS was 141 months (95% CI, 93.0-173.0). After PSM analysis, the survival analysis of the matched cohort revealed that ITC had a worse clinical outcome than papillary thyroid cancer and follicular thyroid cancer, and better survival than anaplastic thyroid carcinoma. Multivariate Cox regression analysis demonstrated that age, N stage, M stage, and surgery were independent prognostic factors for both OS and CSS in ITC patients. The C-indices for the OS- and CSS-specific nomograms were 0.778 (95% CI, 0.724-0.832) and 0.808 (95% CI, 0.754-0.862), respectively. The calibration curve and ROC analysis indicated that the nomogram models exhibited a good discriminative ability. Decision curve analysis suggested that the nomogram models had a significant positive net benefit and were better than the traditional TNM staging system at predicting survival.
ITC has distinct clinicopathological characteristics and survival compared to other thyroid carcinomas, and the established nomogram could predict the survival probability of patients with ITC accurately with a higher net benefit.
甲状腺岛叶癌(ITC)是一种罕见的低分化甲状腺恶性肿瘤。由于其罕见性,其人口统计学、临床病理特征及生存率仍不明确。本研究旨在描述ITC的特征和生存率,确定其预后因素,并建立预后列线图。
在监测、流行病学和最终结果数据库中识别出2004年至2019年期间的ITC患者。使用倾向评分匹配(PSM)平衡基线特征后,比较ITC患者与其他甲状腺癌患者的特征和生存率。采用单因素和多因素Cox分析确定ITC的预后因素。此外,建立总生存(OS)或癌症特异性生存(CSS)特异性列线图以预测ITC的预后。
共识别出206例ITC患者。206例ITC患者的1年、2年、5年和10年OS率分别为90.3%、82.0%、62.2%和42.5%。中位OS为93个月(95%CI,73.0 - 140.0),而中位CSS为141个月(95%CI,93.0 - 173.0)。PSM分析后,匹配队列的生存分析显示,ITC的临床结局比乳头状甲状腺癌和滤泡状甲状腺癌差,但比未分化甲状腺癌的生存率高。多因素Cox回归分析表明,年龄、N分期、M分期和手术是ITC患者OS和CSS的独立预后因素。OS特异性列线图和CSS特异性列线图的C指数分别为0.778(95%CI,0.724 - 0.832)和0.808(95%CI,0.754 - 0.862)。校准曲线和ROC分析表明列线图模型具有良好的鉴别能力。决策曲线分析表明,列线图模型具有显著的正净效益,在预测生存方面优于传统的TNM分期系统。
与其他甲状腺癌相比,ITC具有独特的临床病理特征和生存率,所建立的列线图可以准确预测ITC患者的生存概率,且净效益更高。