甲状腺炎和甲状腺癌：基因表达数据的生物信息学分析。
Thyroiditis and Thyroid Cancer: Bioinformatics Analysis of Gene Expression Data.
机构信息
Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan, R.O.C.
Department of Medical Research, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan, R.O.C.
出版信息
In Vivo. 2024 Sep-Oct;38(5):2205-2213. doi: 10.21873/invivo.13684.
BACKGROUND/AIM: Hashimoto thyroiditis (HT) association with thyroid lymphoma is well established; however, the association with papillary thyroid cancer (PTC) is still unclear. Thyroid cancer incidence has shown an increasing trend in recent years. It is characterized by slow growth, making it generally amenable to successful treatment.
MATERIALS AND METHODS
We aimed to identify genes considered as promising biomarkers of the progression from thyroiditis to thyroid cancer in public gene expression datasets.
RESULTS
We identified 70 differentially expressed genes (DEGs) and used them to prioritize biological risk genes for thyroiditis and thyroid cancer. Statistics and a scoring system based on six functional annotations of significant biological impact identified four genes of interest: CXCR4, IL6ST, PPARG and TP53. Kaplan-Meier plots were used to assess the expression levels related to overall survival. Furthermore, a manual bibliographic search was carried out for each gene, and a protein-protein interaction (PPI) network was built to verify their known associations.
CONCLUSION
The results showed that all four genes (CXCR4, IL6ST, PPARG, TP53) were highly relevant to thyroiditis and thyroid cancer, thus making them worthy of further investigation to understand their relationship with these two diseases.
背景/目的：桥本甲状腺炎（HT）与甲状腺淋巴瘤的关联已得到充分证实；然而，其与甲状腺乳头状癌（PTC）的关联尚不清楚。近年来，甲状腺癌的发病率呈上升趋势。其特点是生长缓慢，通常易于成功治疗。
材料和方法
我们旨在从公共基因表达数据集中确定被认为是从甲状腺炎向甲状腺癌进展的有前途的生物标志物的基因。
结果
我们鉴定了 70 个差异表达基因（DEGs），并使用它们来优先考虑甲状腺炎和甲状腺癌的生物风险基因。基于对具有显著生物学影响的六个功能注释的统计和评分系统，确定了四个感兴趣的基因：CXCR4、IL6ST、PPARG 和 TP53。Kaplan-Meier 图用于评估与总生存相关的表达水平。此外，对每个基因进行了手动文献检索，并构建了蛋白质-蛋白质相互作用（PPI）网络以验证其已知关联。
结论
结果表明，所有四个基因（CXCR4、IL6ST、PPARG、TP53）均与甲状腺炎和甲状腺癌高度相关，因此值得进一步研究以了解它们与这两种疾病的关系。
Zotero 插件