Rationale for Testing TP53 Mutations in Thyroid Cancer-Original Data and Meta-Analysis

甲状腺癌中TP53突变检测的理论依据——原始数据和荟萃分析

阅读:1

Abstract

The p53 protein is a tumor-suppressing transcription factor that is critical in tumorigenesis. While TP53 mutations are rare in differentiated thyroid cancer (DTC), they are significantly more common in anaplastic thyroid cancer (ATC). This study presents original results and a meta-analysis reevaluating the prognostic value of TP53 mutations in thyroid cancer, including surrogate markers such as immunohistochemical p53 expression and serum p53-Abs levels. TP53 mutations were analyzed using SSSP and direct sequencing in a DTC group (15 patients), an ATC group (3 patients), and a control group (25 patients). The immunohistochemical p53 expression was assessed in tissue samples. A meta-analysis of 14 eligible studies identified through the PubMed, Scopus, Google Scholar, and Cochrane databases was conducted. Our results showed TP53 mutations in all ATC cases, 6.67% of DTC cases (1 out of 15), and none in the control group. Immunohistochemical p53 overexpression was observed in 4 out of 15 DTC (26.67%) and all ATC cases but absent in controls. A meta-analysis confirmed that TP53 mutations are significantly more frequent in ATC than controls (OR 8.95; 95% CI: 1.36-58.70; p = 0.02) but not in DTC vs. controls (OR 1.87; 95% CI: 0.53-6.58; p = 0.33). p53 overexpression was significantly higher in both DTC and ATC vs. controls (OR 7.99; 95% CI: 5.11-12.51; p < 0.01 and OR 64.37; 95% CI: 27.28-151.89; p < 0.01, respectively). The serum p53-Abs positivity was also elevated in patients with PTC vs. controls (OR 2.07; 95% CI: 1.24-3.47; p < 0.01). TP53 mutations are frequent events in the pathogenesis of ATC. In DTC, further prospective studies are needed to determine the prognostic value of TP53 mutations and related surrogate markers (immunohistochemical p53 expression, p53-Abs positivity).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。