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生长分化因子10（GDF10）和吲哚胺2,3-双加氧酶1（IDO1）作为与免疫浸润相关的甲状腺癌预后生物标志物。

GDF10 and IDO1 as a thyroid cancer prognostic biomarker associated with immune infiltration.

作者信息

Lv Zhao-Bao, Zhang Jun-Jing, Xiang Cheng

机构信息

Breast and Thyroid Surgery, The Second Hospital of Liaocheng, Lingqing, 252600, Shandong, China.

Thyroid Surgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.

出版信息

Heliyon. 2024 Mar 6;10(6):e27651. doi: 10.1016/j.heliyon.2024.e27651. eCollection 2024 Mar 30.

DOI:10.1016/j.heliyon.2024.e27651
PMID:38509876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10950683/
Abstract

OBJECTION

The aim of this work is to screen the immune-related genes to predict the prognosis and provide a new direction of treatment for patients with thyroid cancer (THCA).

METHODS

The mRNA and clinical features of THCA patients were collected from the Cancer Genome Atlas (TCGA) databases. The immune-related genes were obtained from the ImmPort databases. The bio-information methods were performed to screen the differential expression genes (DEGs) and genes related to immunity between the THCA patients and normal individuals. On this basis, the hub prognosis immunity genes were screened by Veen. The related genes were obtained by constructing the protein-protein interaction network. The enrichment analyses were performed based on the protein and protein interaction (PPI) related genes. The hub immune checkpoint was screened by correlation analysis. Finally, the hub gene and the immunity checkpoint-miRNA (or transcription factor, drug) interaction network were constructed. A drug-sensitive analysis also was performed.

RESULTS

The GDF10 was screened. The PPI genes were enriched in the TGF-beta signaling pathway, signaling pathways regulating, the pluripotency of stem cells, Cytokine-cytokine receptor interaction, and so on. The hub immunity checkpoint IDO1 was obtained. The joint indicator of two hub genes was positively related to the thyroid differentiation score. Three interaction factors were found to be related to the two hub genes, and 7 kinds of drugs screened act on the two hub genes at the same time.

CONCLUSION

This work indicated that immune-related gene GDF10 and immune checkpoint IDO1 are important for the prognosis prediction of THCA patients, and immunity is involved in the proliferation, and differentiation of tumor cells.

摘要

目的

本研究旨在筛选免疫相关基因以预测甲状腺癌（THCA）患者的预后，并为其提供新的治疗方向。

方法

从癌症基因组图谱（TCGA）数据库收集THCA患者的mRNA和临床特征。从免疫数据库（ImmPort）获取免疫相关基因。采用生物信息学方法筛选THCA患者与正常个体之间的差异表达基因（DEG）和免疫相关基因。在此基础上，通过Veen筛选出核心预后免疫基因。通过构建蛋白质-蛋白质相互作用网络获得相关基因。基于蛋白质-蛋白质相互作用（PPI）相关基因进行富集分析。通过相关性分析筛选出核心免疫检查点。最后，构建核心基因与免疫检查点- miRNA（或转录因子、药物）相互作用网络。还进行了药物敏感性分析。

结果

筛选出GDF10。PPI基因富集于转化生长因子-β信号通路、调节干细胞多能性的信号通路、细胞因子-细胞因子受体相互作用等。获得核心免疫检查点IDO1。两个核心基因的联合指标与甲状腺分化评分呈正相关。发现三个相互作用因子与两个核心基因相关，筛选出的7种药物同时作用于两个核心基因。

结论

本研究表明免疫相关基因GDF10和免疫检查点IDO1对THCA患者的预后预测具有重要意义，且免疫参与肿瘤细胞的增殖和分化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/478c90eeaf5d/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/de43b94e374b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/c36d937e6109/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/bc889d3fca9c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/6563e6af3658/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/20d99bb7897a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/bd5b89f7d099/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/40281c0a80bf/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/c95c0e04cc6f/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/ad5f4a5370b8/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/478c90eeaf5d/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/de43b94e374b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/c36d937e6109/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/bc889d3fca9c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/6563e6af3658/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/20d99bb7897a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/bd5b89f7d099/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/40281c0a80bf/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/c95c0e04cc6f/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/ad5f4a5370b8/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf7f/10950683/478c90eeaf5d/gr10.jpg

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