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鉴定和验证一个 8 个长链非编码 RNA 特征,可预测食管鳞癌患者的预后。

Identification and validation of an eight-lncRNA signature that predicts prognosis in patients with esophageal squamous cell carcinoma.

机构信息

Department of Thoracic Surgery, Esophagus and Mediastinum, Harbin Medical University Cancer Hospital, No.150 Hapin Road, Harbin, 150001, Heilongjiang, China.

出版信息

Cell Mol Biol Lett. 2022 May 16;27(1):39. doi: 10.1186/s11658-022-00331-x.

Abstract

BACKGROUND

Esophageal squamous cell carcinoma (ESCC) is correlated with worse clinical prognosis and lacks available targeted therapy. Thus, identification of reliable biomarkers is required for the diagnosis and treatment of ESCC.

METHODS

We downloaded the GSE53625 dataset as a training dataset to screen differentially expressed RNAs (DERs) with the criterion of false discovery rate (FDR) < 0.05 and |logfold change (FC)| > 1. A support vector machine classifier was used to find the optimal feature gene set that could conclusively distinguish different samples. An eight-lncRNA signature was identified by random survival forest algorithm and multivariate Cox regression analysis. The RNA sequencing data from The Cancer Genome Atlas (TCGA) database were used for external validation. The predictive value of the signature was assessed using Kaplan-Meier test, time-dependent receiver operating characteristic (ROC) curves, and dynamic area under the curve (AUC). Furthermore, a nomogram to predict patients' 3-year and 5-year prognosis was constructed. CCK-8 assay, flow cytometry, and transwell assay were conducted in ESCC cells.

RESULTS

A total of 1136 DERs, including 689 downregulated mRNAs, 318 upregulated mRNAs, 74 downregulated lncRNAs and 55 upregulated lncRNAs, were obtained in the GES53625 dataset. From the training dataset, we identified an eight-lncRNA signature, (ADAMTS9-AS1, DLX6-AS1, LINC00470, LINC00520, LINC01497, LINC01749, MAMDC2-AS1, and SSTR5-AS1). A nomogram based on the eight-lncRNA signature, age, and pathologic stage was developed and showed good accuracy for predicting 3-year and 5-year survival probability of patients with ESCC. Functionally, knockdown of LINC00470 significantly suppressed cell proliferation, G1/S transition, and migration in two ESCC cell lines (EC9706 and TE-9). Moreover, knockdown of LINC00470 downregulated the protein levels of PCNA, CDK4, and N-cadherin, while upregulating E-cadherin protein level in EC9706 and TE-9 cells.

CONCLUSION

Our eight-lncRNA signature and nomogram can provide theoretical guidance for further research on the molecular mechanism of ESCC and the screening of molecular markers.

摘要

背景

食管鳞状细胞癌(ESCC)与更差的临床预后相关,并且缺乏可用的靶向治疗方法。因此,需要识别可靠的生物标志物来诊断和治疗 ESCC。

方法

我们下载了 GES53625 数据集作为训练数据集,使用错误发现率(FDR)<0.05 和 |logfold change (FC)|>1 的标准筛选差异表达 RNA(DER)。使用支持向量机分类器找到最佳特征基因集,可以明确区分不同的样本。通过随机生存森林算法和多变量 Cox 回归分析确定了一个八长链非编码 RNA(lncRNA)特征。使用癌症基因组图谱(TCGA)数据库的 RNA 测序数据进行外部验证。使用 Kaplan-Meier 检验、时间依赖性接收器操作特征(ROC)曲线和动态曲线下面积(AUC)评估特征的预测价值。此外,构建了一个预测患者 3 年和 5 年预后的列线图。在 ESCC 细胞中进行 CCK-8 测定、流式细胞术和 Transwell 测定。

结果

在 GES53625 数据集中获得了 1136 个 DER,包括 689 个下调的 mRNA、318 个上调的 mRNA、74 个下调的 lncRNA 和 55 个上调的 lncRNA。从训练数据集中,我们确定了一个八-lncRNA 特征,包括(ADAMTS9-AS1、DLX6-AS1、LINC00470、LINC00520、LINC01497、LINC01749、MAMDC2-AS1 和 SSTR5-AS1)。基于八-lncRNA 特征、年龄和病理分期构建了列线图,可准确预测 ESCC 患者 3 年和 5 年的生存概率。功能上,敲低 LINC00470 显著抑制了两种 ESCC 细胞系(EC9706 和 TE-9)的细胞增殖、G1/S 期转换和迁移。此外,敲低 LINC00470 下调了 PCNA、CDK4 和 N-钙粘蛋白的蛋白水平,同时上调了 EC9706 和 TE-9 细胞中 E-钙粘蛋白的蛋白水平。

结论

我们的八-lncRNA 特征和列线图可为进一步研究 ESCC 的分子机制和筛选分子标志物提供理论指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e27/9109328/954ac215f79f/11658_2022_331_Fig1_HTML.jpg

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