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甲状腺乳头状癌中PROSER2-AS1相关ceRNA网络及免疫细胞浸润的综合分析

Comprehensive Analysis of the PROSER2-AS1-Related ceRNA Network and Immune Cell Infiltration in Papillary Thyroid Carcinoma.

作者信息

Wang Tingting, Yu Qian, Zhang Wei, Gao Li

机构信息

Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Ji'nan, 250014, People's Republic of China.

Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.

出版信息

Int J Gen Med. 2022 Feb 16;15:1647-1663. doi: 10.2147/IJGM.S338019. eCollection 2022.

DOI:10.2147/IJGM.S338019
PMID:35210835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8858959/
Abstract

BACKGROUND

Papillary thyroid carcinoma (PTC) is a malignant tumor of the endocrine system, and distant metastasis leads to poor prognosis for patients with PTC. The competitive endogenous RNA (ceRNA) network and tumor-infiltrating immune cells might participate in tumor prognosis and distant metastasis. However, few studies have focused on ceRNAs and immune cells in PTC.

METHODS

We identified differentially expressed lncRNAs (DELs) using the GEO2R tool of the GEO database. Through comprehensive analysis, we selected lncRNA PROSER2-AS1 and constructed a PROSER2-AS1-mediated ceRNA network. Survival was analyzed with a Kaplan-Meier (KM) curve. Gene set enrichment analysis (GSEA) was performed to determine the function of PROSER2-AS1 in the ceRNA network using TCGA database. Moreover, the relationship between PROSER2-AS1 and immune cell infiltration was analyzed with ssGSEA using the "GSVA" package in R.

RESULTS

Comprehensive analysis of the GSE66783 dataset revealed 105 significantly differentially expressed lncRNAs. Univariate and multivariate Cox regression analyses were performed to assess the prognostic significance of the DELs, and we identified lncRNA PROSER2-AS1 as an independent factor for prognosis in PTC (p < 0.05). Considering the online tools LncRNASNP2 and miRWalk3.0, we constructed a PROSER2-AS1-related ceRNA network. Furthermore, the GSEA results suggested that PROSER2-AS1 may be involved in immune cell infiltration and that PROSER2-AS1 was correlated with 14 types of tumor-infiltrating immune cells. PROSER2-AS1 might function through TGFBR3.

CONCLUSION

lncRNA PROSER2-AS1 and related mRNAs (TGFBR3) may be potential prognostic biomarkers in PTC and may correlate with immune infiltrates.

摘要

背景

甲状腺乳头状癌（PTC）是一种内分泌系统恶性肿瘤，远处转移会导致PTC患者预后不良。竞争性内源性RNA（ceRNA）网络和肿瘤浸润免疫细胞可能参与肿瘤预后和远处转移。然而，很少有研究关注PTC中的ceRNA和免疫细胞。

方法

我们使用GEO数据库的GEO2R工具鉴定差异表达的长链非编码RNA（DEL）。通过综合分析，我们选择了长链非编码RNA PROSER2-AS1并构建了一个由PROSER2-AS1介导的ceRNA网络。用Kaplan-Meier（KM）曲线分析生存率。使用TCGA数据库进行基因集富集分析（GSEA）以确定PROSER2-AS1在ceRNA网络中的功能。此外，使用R中的“GSVA”包通过单样本基因集富集分析（ssGSEA）分析PROSER2-AS1与免疫细胞浸润之间的关系。

结果

对GSE66783数据集的综合分析揭示了105个显著差异表达的长链非编码RNA。进行单变量和多变量Cox回归分析以评估DEL的预后意义，我们将长链非编码RNA PROSER2-AS1鉴定为PTC预后的独立因素（p<0.05）。考虑在线工具LncRNASNP2和miRWalk3.0，我们构建了一个与PROSER2-ASl相关的ceRNA网络。此外，GSEA结果表明PROSER2-AS1可能参与免疫细胞浸润，并且PROSER2-AS1与14种肿瘤浸润免疫细胞相关。PROSER2-AS1可能通过转化生长因子β受体3（TGFBR3）发挥作用。

结论

长链非编码RNA PROSER2-AS1和相关mRNA（TGFBR3）可能是PTC潜在的预后生物标志物，并且可能与免疫浸润相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b7/8858959/ed0e96b6d256/IJGM-15-1647-g0008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37b7/8858959/ed0e96b6d256/IJGM-15-1647-g0008.jpg

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