一种联合的长链非编码RNA特征作为卵巢癌的候选预后生物标志物

A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer.

作者信息

Li Hui, Wang Shuoer, Yao Qianlan, Liu Yan, Yang Jing, Xu Lun, Yang Gong

机构信息

Central Laboratory, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.

Department of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.

出版信息

Front Oncol. 2021 May 27;11:624240. doi: 10.3389/fonc.2021.624240. eCollection 2021.

DOI:10.3389/fonc.2021.624240

PMID:34123783

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8191461/

Abstract

AIMS

Dysregulated long noncoding RNAs (lncRNAs) contributing to ovarian cancer (OC) development may serve as prognostic biomarker. We aimed to explore a lncRNA signature to serve as prognostic biomarker of OC.

METHODS

Univariate Cox regression was conducted on the lncRNA expression dataset from the TCGA cohort, and 246 genes significantly associated with survival were retained for building a model. A random forest survival model was carried out, and a model was developed using 6 genes with the highest frequency. The selected genes were applied in a Cox multivariate regression model for prognostic prediction by calculating the risk score. We also used CCK-8, EdU, and colony formation assays to validate the function of these lncRNAs in OC cells.

RESULTS

This study confirmed that the 6-lncRNA combined signature was related to OC prognosis. Systematic analysis demonstrated that lncRNA-associated genes were enriched in oncogenic signalling pathways. Five out of the 6 lncRNAs participated in OC proliferation.

CONCLUSION

We established a 6-lncRNA combined signature for OC prognosis, which may serve as powerful prognostic biomarker for OC after further validation.

摘要

目的

参与卵巢癌（OC）发生发展的长链非编码RNA（lncRNA）失调可能作为预后生物标志物。我们旨在探索一种lncRNA特征作为OC的预后生物标志物。

方法

对来自TCGA队列的lncRNA表达数据集进行单变量Cox回归分析，保留246个与生存显著相关的基因用于构建模型。进行随机森林生存模型分析，并使用出现频率最高的6个基因构建模型。通过计算风险评分，将所选基因应用于Cox多变量回归模型进行预后预测。我们还使用CCK-8、EdU和集落形成实验来验证这些lncRNA在OC细胞中的功能。