Diagnosis and Prognosis of Thyroid Cancer by Immune-related Genes.

IF 1.6 4区医学 Q4 ONCOLOGY

American Journal of Clinical Oncology-Cancer Clinical Trials Pub Date : 2024-01-01 Epub Date: 2023-10-02 DOI:10.1097/COC.0000000000001048

Jinze Li, Zhenjun Li, Ping Zhao

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引用次数: 0

Abstract

Background: Thyroid carcinoma (THCA) is the most common malignant endocrine tumor with low mortality and a relatively good prognosis. Immune genes have attracted much attention as molecular markers of THCA prognosis and potential targets of immunotherapy.

Methods: Our study analyzed the transcriptome and clinical data of immune-related genes (IRGs) of THCA in gene expression omnibus, the cancer genome atlas-THCA, and ImmPort databases. By univariate Cox regression analysis, 15 genes were significantly correlated with the survival of patients with THCA. Five IRGs ( NMU, UBE2C, CDKN2A, COL19A1, and GPM6A ) were selected by LASSO regression analysis as independent prognostic factors to construct a disease-free survival-related prognostic risk model.

Results: Kaplan-Meier survival analysis showed that there was a significant difference in disease-free survival between high and low-risk groups. The higher the risk score, the worse the survival of patients. Clinical correlation analysis showed that age and Stage stage of patients were correlated with risk score ( P < 0.05). Quantitative real-time polymerase chain reaction confirmed that there were differences in the expression of 5 IRGs between tumor tissues and normal thyroid tissues. Spearman correlation analysis indicated that the relative expression levels of NMU, CDKN2A, UBE2C, COL19A1 , and GPM6A were positively correlated with programmed death-ligand 1 and recombinant a disintegrin and metalloproteinase with thrombospondin 1.

Conclusion: Based on the bioinformatics method, we constructed a prognosis evaluation model and risk score system of IRGs in THCA, which provided a reference for predicting the prognosis of patients with THCA.

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免疫相关基因对甲状腺癌症的诊断和预后。

背景：甲状腺癌（THCA）是最常见的恶性内分泌肿瘤，死亡率低，预后相对较好。免疫基因作为THCA预后的分子标志物和免疫治疗的潜在靶点，已引起人们的广泛关注。方法：我们的研究分析了基因表达综合、癌症基因组图谱-THCA和ImmPort数据库中THCA免疫相关基因（IRGs）的转录组和临床数据。通过单变量Cox回归分析，15个基因与THCA患者的生存率显著相关。LASSO回归分析选择5个IRG（NMU、UBE2C、CDKN2A、COL19A1和GPM6A）作为独立的预后因素，构建无病生存相关预后风险模型。结果：Kaplan-Meier生存率分析显示，高危组和低危组的无病生存率存在显著差异。风险评分越高，患者的生存率就越差。临床相关性分析显示，患者的年龄和分期与风险评分相关（P<0.05）。定量实时聚合酶链反应证实，肿瘤组织和正常甲状腺组织中5个IRG的表达存在差异。Spearman相关性分析表明，NMU、CDKN2A、UBE2C、COL19A1和GPM6A的相对表达水平与程序性死亡配体1和含有血小板反应蛋白1的重组a整合素和金属蛋白酶呈正相关。结论：基于生物信息学方法，我们构建了THCA中IRG的预后评估模型和风险评分系统，为预测THCA患者的预后提供了参考。

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

American Journal of Clinical Oncology-Cancer Clinical Trials 医学-肿瘤学

CiteScore

4.90

自引率

0.00%

发文量

130

审稿时长

4-8 weeks

期刊介绍： American Journal of Clinical Oncology is a multidisciplinary journal for cancer surgeons, radiation oncologists, medical oncologists, GYN oncologists, and pediatric oncologists. The emphasis of AJCO is on combined modality multidisciplinary loco-regional management of cancer. The journal also gives emphasis to translational research, outcome studies, and cost utility analyses, and includes opinion pieces and review articles. The editorial board includes a large number of distinguished surgeons, radiation oncologists, medical oncologists, GYN oncologists, pediatric oncologists, and others who are internationally recognized for expertise in their fields.