A biomarker and molecular mechanism investigation for thyroid cancer.

IF 1.5 4区医学 Q4 IMMUNOLOGY

Central European Journal of Immunology Pub Date : 2023-01-01 Epub Date: 2023-09-29 DOI:10.5114/ceji.2023.132163

Keju Xie

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引用次数: 0

Abstract

Introduction: This study aimed to reveal the potential molecular mechanism associated with thyroid cancer (THCA) prognosis, and investigate promising biomarkers for THCA.

Material and methods: Differentially expressed genes (DEGs) were compared between THCA samples (THCA group) and normal samples (N group). Then, enrichment analysis and protein-protein interaction (PPI) network analysis were performed, followed by prognostic hub gene exploration from the PPI network. Furthermore, the prognostic and mutation analysis was performed on these hub genes. Finally, the associations of the hub gene with immune cells were investigated.

Results: A total of 802 DEGs were obtained between the THCA group and the N group. These DEGs were mainly enriched in pathways such as lysine degradation. From the PPI network, 20 hub genes, including CD44, CCND1, SNAI1, and KIT, were investigated. The survival analysis showed that the up-regulation of CD44 and down-regulation of SNAI1 contributed to the favorable and unfavorable outcomes of patients with THCA, respectively. Meanwhile, the diagnostic analysis showed that the AUC of KIT in THCA was larger than 0.9. Furthermore, the gene mutation analysis showed that the alternated CCND1 participated in the cell cycle pathway. Finally, the correlation analysis showed that prognostic genes such as CD44 were positively correlated with immune cells such as M1 macrophages.

Conclusions: A total of 20 hub genes including CCND1, CD44, SNAI1, and KIT were revealed as potential biomarkers for the differential diagnosis, prognosis, and development of drug targets of THCA. The lysine degradation pathway and cell cycle pathway might take part in the progression of THCA.

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甲状腺癌症的生物标志物和分子机制研究。

引言：本研究旨在揭示与甲状腺癌症（THCA）预后相关的潜在分子机制，并研究THCA有前景的生物标志物。材料和方法：比较THCA样品（THCA组）和正常样品（N组）的差异表达基因（DEGs）。然后，进行富集分析和蛋白质-蛋白质相互作用（PPI）网络分析，然后从PPI网络中进行预后中枢基因探索。此外，对这些中枢基因进行了预后和突变分析。最后，研究了hub基因与免疫细胞的关系。结果：THCA组和N组共获得802个DEG。这些DEG主要富集在赖氨酸降解等途径中。从PPI网络中，研究了20个枢纽基因，包括CD44、CCND1、SNAI1和KIT。生存分析显示，CD44的上调和SNAI1的下调分别有助于THCA患者的有利和不利结果。同时，诊断分析显示KIT在THCA中的AUC大于0.9。此外，基因突变分析表明，交替的CCND1参与了细胞周期途径。最后，相关性分析显示，CD44等预后基因与M1巨噬细胞等免疫细胞呈正相关。结论：共有20个枢纽基因，包括CCND1、CD44、SNAI1和KIT，被揭示为THCA鉴别诊断、预后和药物靶点开发的潜在生物标志物。赖氨酸降解途径和细胞周期途径可能参与THCA的进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Central European Journal of Immunology IMMUNOLOGY-

CiteScore

3.00

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Central European Journal of Immunology is a English-language quarterly aimed mainly at immunologists.