Sassorossi Carolina, Bertoglio Pietro, Lococo Filippo, Santoro Gloria, Meacci Elisa, Nachira Dania, Congedo Maria Teresa, Brandolini Jury, Petroncini Matteo, Nocera Adriana, Charles-Davies Diepriye, Solli Piergiorgio, Margaritora Stefano, Chiappetta Marco
UOC di Chirurgia Toracica, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
UOC di Chirurgia Toracica, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Diagnostics (Basel). 2023 Nov 17;13(22):3468. doi: 10.3390/diagnostics13223468.
According to the different classifications now in use, thymic tumours are staged by the extent of local invasiveness, and tumour size is not included as a major determinant for the T category. The aim of this double-site retrospective study is to analyse the correlation between tumour dimension and overall survival (OS) in patients who underwent surgical treatment. From January 2000 to December 2020, patients with thymic epithelial tumours who underwent surgical resection were included in this study. Data from a total of 332 patients were analysed. Five- and ten-year overall survival (5-10 YOS) was 89.26% and 87.08%, respectively, while five- and ten-year disease-free survival (DFS) was 88.12% and 84.2%, respectively. Univariate analysis showed a significant correlation between male sex (-value 0.02), older age (-value < 0.01), absence of myasthenia gravis (-value < 0.01), increase in pTNM (pathological Tumor Node Metastasis) (-value 0.03) and increase in the number of infiltrated organs (-value 0.02) with an increase in tumour dimension. Tumour dimension alone was not effective in the prediction of DFS and OS, both when considered as a continuous variable and when considered with a cut-off of 3 and 5 cm. However, with multivariate analysis, it was effective in predicting OS in the aforementioned conditions (-value < 0.01). Moreover, multivariate analysis was also used in the thymoma and Masaoka I subgroups. In our experience, the role of tumour dimension as a descriptor of the T parameter of the TNM (Tumor Node Metastasis) staging system seemed to be useful in improving this system.
根据目前使用的不同分类方法，胸腺瘤根据局部侵袭程度进行分期，肿瘤大小不作为T分类的主要决定因素。这项双中心回顾性研究的目的是分析接受手术治疗的患者肿瘤大小与总生存期（OS）之间的相关性。2000年1月至2020年12月，纳入接受手术切除的胸腺上皮肿瘤患者。共分析了332例患者的数据。5年和10年总生存率（5 - 10 YOS）分别为89.26%和87.08%，而5年和10年无病生存率（DFS）分别为88.12%和84.2%。单因素分析显示，男性（P值0.02）、年龄较大（P值<0.01）、无重症肌无力（P值<0.01）、pTNM（病理肿瘤淋巴结转移）增加（P值0.03）以及浸润器官数量增加（P值0.02）与肿瘤大小增加之间存在显著相关性。单独的肿瘤大小在预测DFS和OS时均无效，无论是将其视为连续变量还是以3 cm和5 cm为界值进行考量。然而，多因素分析显示，在上述情况下肿瘤大小对预测OS有效（P值<0.01）。此外，多因素分析也用于胸腺瘤和Masaoka I亚组。根据我们的经验，肿瘤大小作为TNM（肿瘤淋巴结转移）分期系统中T参数的描述指标，似乎有助于改进该系统。
