鉴定免疫相关 lncRNAs 以改善甲状腺乳头状癌患者的预后预测。

Identification of immune-related lncRNAs to improve the prognosis prediction for patients with papillary thyroid cancer.

机构信息

Department of Thyroid, Breast and Hernia Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China.

The Second Affiliated Hospital of GuangZhou University of Chinese Medicine, Guangzhou, Guangdong Province 510282, P.R. China.

出版信息

Biosci Rep. 2021 Feb 26;41(2). doi: 10.1042/BSR20204086.

OBJECTIVE

To identify immune-related long non-coding RNAs (lncRNAs) in papillary thyroid cancer (PTC).

METHODS

The Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were used to obtain the gene expression profile. Immune-related lncRNAs were screened from the Molecular Signatures Database v4.0 (MsigDB). We performed a survival analysis of critical lncRNAs. Further, the function of prognostic lncRNAs was inferred using the Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) to clarify the possible mechanisms underlying their predictive ability. The assessment was performed in clinical samples and PTC cells.

RESULTS

We obtained 4 immune-related lncRNAs, 15 microRNAs (miRNAs), and 375 mRNAs as the key mediators in the pathophysiological processes of PTC from the GEO database. Further, Lasso regression analysis identified seven prognostic markers (LINC02550, SLC26A4-AS1, ACVR2B-AS1, AC005479.2, LINC02454, and AL136366.1), most of which were related to tumor development. The KEGG pathway enrichment analysis showed different, changed genes mainly enriched in the cancer-related pathways, PI3K-Akt signaling pathway, and focal adhesion. Only SLC26A4-AS1 had an intersection in the results of the two databases.

CONCLUSION

LncRNA SLC26A4-AS1, which is the most associated with prognosis, may play an oncogenic role in the development of PTC.

目的

鉴定甲状腺乳头状癌（PTC）中的免疫相关长非编码 RNA（lncRNA）。

方法

使用基因表达综合数据库（GEO）和癌症基因组图谱（TCGA）数据库获取基因表达谱。从分子特征数据库 v4.0（MsigDB）筛选免疫相关 lncRNA。对关键 lncRNA 进行生存分析。进一步使用基因本体论（GO）富集分析和京都基因与基因组百科全书（KEGG）对预后 lncRNA 的功能进行推断，以阐明其预测能力的可能机制。在临床样本和 PTC 细胞中进行评估。

结果

我们从 GEO 数据库中获得了 4 个免疫相关 lncRNA、15 个 microRNAs（miRNAs）和 375 个 mRNAs，作为 PTC 病理生理过程中的关键介质。进一步的 Lasso 回归分析确定了 7 个预后标志物（LINC02550、SLC26A4-AS1、ACVR2B-AS1、AC005479.2、LINC02454 和 AL136366.1），其中大多数与肿瘤发展有关。KEGG 通路富集分析显示，不同的、改变的基因主要富集在癌症相关通路、PI3K-Akt 信号通路和焦点黏附中。只有 SLC26A4-AS1 在两个数据库的结果中有交集。