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头颈部癌中导致预后不良的失调长链非编码RNA(lncRNAs)的系统分析与鉴定

Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer.

作者信息

Tang Shang-Ju, You Guo-Rong, Chang Joseph T, Cheng Ann-Joy

机构信息

Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Graduate Institute of Biomedical Sciences, College of Medicine, Change Gung University, Taoyuan, Taiwan.

出版信息

Front Oncol. 2021 Oct 18;11:731752. doi: 10.3389/fonc.2021.731752. eCollection 2021.

Abstract

Head and neck cancer (HNC) is one of the most prevalent cancers worldwide, accounting for approximately 5% of all cancers. While the underlying molecules and their pathogenetic mechanisms in HNC have yet to be well elucidated, recent studies have shown that dysregulation of lncRNAs may disrupt the homeostasis of various biological pathways. However, the understanding of lncRNAs in HNC is still limited by the lack of expression profiling. In the present study, we employed a systematic strategy to identify a panel of lncRNA associated with HNC. A cancer-related lncRNA profile PCR array was screened to explore potential molecules specific for HNC. A total of 55 lncRNAs were found to be dysregulated in HNC cells when compared to normal keratinocytes. Further analysis of the prognostic significance using The Cancer Genome Atlas (TCGA) database revealed 15 lncRNAs highly correlated with overall survival in HNC patients. Additionally, clinical sample expression analysis of the TCGA-HNSC cohort revealed 16 highly dysregulated lncRNAs in HNC, resulting in a combined 31-lncRNA signature panel that could predict prognosis. Validation of these molecules confirmed the considerable level of altered expressions in HNC cells, with XIST, HOXA11-AS, TSIX, MALAT1, WT1-AS, and IPW being the most prominently dysregulated. We further selected a molecule from our panel (XIST) to confirm the validity of these lncRNAs in the regulation of cancer aggressiveness. Gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses demonstrated that XIST participated in various cancer-related functions, including cell proliferation and metastasis. XIST silencing with the RNAi technique substantially reduced invasion and migration in several HNC cell lines. Thus, our study defined a 31-lncRNA panel as prognostic signatures in HNC. These perspective results provide a knowledge foundation for further application of these molecules in precision medicine.

摘要

头颈癌(HNC)是全球最常见的癌症之一,约占所有癌症的5%。虽然HNC潜在的分子及其发病机制尚未完全阐明,但最近的研究表明,lncRNAs的失调可能会破坏各种生物途径的稳态。然而,由于缺乏表达谱分析,对HNC中lncRNAs的了解仍然有限。在本研究中,我们采用了一种系统策略来鉴定一组与HNC相关的lncRNA。筛选了一个癌症相关lncRNA谱PCR阵列,以探索HNC特有的潜在分子。与正常角质形成细胞相比,共发现55种lncRNAs在HNC细胞中表达失调。使用癌症基因组图谱(TCGA)数据库对预后意义进行进一步分析,发现15种lncRNAs与HNC患者的总生存期高度相关。此外,对TCGA-HNSC队列的临床样本表达分析显示,HNC中有16种高度失调的lncRNAs,从而形成了一个可预测预后的31种lncRNA特征组合。对这些分子的验证证实了HNC细胞中表达改变的相当程度,其中XIST、HOXA11-AS、TSIX、MALAT1、WT1-AS和IPW的失调最为明显。我们进一步从我们的组合中选择了一个分子(XIST)来证实这些lncRNAs在调节癌症侵袭性方面的有效性。基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析表明,XIST参与了各种癌症相关功能,包括细胞增殖和转移。用RNAi技术沉默XIST可显著降低几种HNC细胞系的侵袭和迁移能力。因此,我们的研究将一个31种lncRNA组合定义为HNC的预后特征。这些前瞻性结果为这些分子在精准医学中的进一步应用提供了知识基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1552/8558550/a14ee3bd37e9/fonc-11-731752-g001.jpg

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