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Characterization of microRNAs and lncRNAs in early-stage squamous cell carcinoma based on the analysis of TCGA datasets
Biotechnology & Biotechnological Equipment ( IF 1.4 ) Pub Date : 2020-01-01 , DOI: 10.1080/13102818.2020.1800510
Weijing Liu 1, 2 , Ruizhi Liu 1, 2 , Xin You 1, 2 , Weijie Zhang 1, 2 , Xiaocheng Gong 1, 2 , Min Liu 1, 2 , Yang Meng 3 , Ting Wang 4 , Pengbo Ning 1, 2
Affiliation  

Abstract Lung squamous cell carcinoma (LUSC) is highly malignant with poor prognosis, causing prevalent mortality worldwide. Early-stage lung cancer can be distinguished through reliable early detection to urge timely treatment. Non-coding RNAs (ncRNAs) might play such a vital role in tumor initiation, progression and metastasis that they are becoming an important biomarker in cancer screening. To identify the relation between ncRNAs and the early-stage of LUSC, we analyzed the data from the Cancer Genome Atlas (TCGA) database. We identified 28 microRNAs (miRNAs) and 32 long non-coding RNA (lncRNA) that were specifically expressed in early-stage LUSC, and the relationship was shown by the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network. The result derived from Kaplan–Meier survival curves analysis showed that two miRNAs (hsa-miR-22-3p and hsa-miR-552-3p) and a lncRNA (FLJ36000) were negatively correlated with overall survival, but two miRNAs (hsa-miR-27b-5p and hsa-miR-340-5p) and five lncRNAs (CHK8-CPT1B, LINC00167, S NHG15, TTC28-AS1 and WASH7P) were positively associated. Our study provides novel insight for better understanding of early-stage LUSC and facilitates the identification of potential biomarkers for diagnosis and prognosis of early-stage LUSC.

中文翻译:

基于 TCGA 数据集分析的早期鳞状细胞癌中 microRNA 和 lncRNA 的表征

摘要 肺鳞状细胞癌(LUSC)恶性程度高,预后差,导致全球普遍死亡。早期肺癌可以通过可靠的早期发现来区分,以促使及时治疗。非编码 RNA (ncRNA) 可能在肿瘤的发生、进展和转移中发挥着至关重要的作用,以至于它们正在成为癌症筛查中的重要生物标志物。为了确定 ncRNA 与早期 LUSC 之间的关系,我们分析了来自癌症基因组图谱 (TCGA) 数据库的数据。我们鉴定了在早期 LUSC 中特异性表达的 28 个 microRNA (miRNA) 和 32 个长链非编码 RNA (lncRNA),lncRNA-miRNA-mRNA 竞争性内源 RNA (ceRNA) 网络显示了这种关系。Kaplan-Meier生存曲线分析结果表明,两种miRNA(hsa-miR-22-3p和hsa-miR-552-3p)和一种lncRNA(FLJ36000)与总生存率呈负相关,但两种miRNA(hsa- miR-27b-5p 和 hsa-miR-340-5p)和五种 lncRNA(CHK8-CPT1B、LINC00167、S NHG15、TTC28-AS1 和 WASH7P)呈正相关。我们的研究为更好地了解早期 LUSC 提供了新的见解,并有助于识别用于早期 LUSC 诊断和预后的潜在生物标志物。
更新日期:2020-01-01
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