Featured lncRNA-based signature for discriminating prognosis and progression of hepatocellular carcinoma.

IF 2 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal of Applied Genetics Pub Date : 2024-05-01 Epub Date: 2024-02-12 DOI:10.1007/s13353-024-00836-5
Huiyuan Qiu, Bo Jiang, Yinqi Chen, Zhaoyi Lin, Wenjie Zheng, Xiaolei Cao
{"title":"Featured lncRNA-based signature for discriminating prognosis and progression of hepatocellular carcinoma.","authors":"Huiyuan Qiu, Bo Jiang, Yinqi Chen, Zhaoyi Lin, Wenjie Zheng, Xiaolei Cao","doi":"10.1007/s13353-024-00836-5","DOIUrl":null,"url":null,"abstract":"<p><p>Long non-coding RNAs (lncRNAs) have been implicated in carcinogenesis and progression of hepatocellular carcinoma (HCC). This study aimed to identify a robust lncRNA signature for predicting the survival of HCC patients. We performed an integrated analysis of the lncRNA expression profiling in The Cancer Genome Atlas (TCGA)-liver hepatocellular carcinoma database to identify the prognosis-related lncRNA for the HCC. The HCC cohort was randomly divided into a training set (n = 250) and a testing set (n = 113). Following a two-step screening, we identified an 18-lncRNA signature risk score. The high-risk subgroups had significantly shorter survival time than the low-risk group in both the training set (P < 0.0001) and the testing set (P = 0.005). Stratification analysis revealed that the prognostic value of the lncRNA-based signature was independent of the tumor stage and pathologic stage. The area under the receiver operating characteristic curve (AUROC) of the 18-lncRNA signature risk score was 0.826 (95%CI, 0.764-0.888), 0.817 (95%CI, 0.759-0.876), and 0.799 (95%CI, 0.731-0.867) for 1-year, 3-year, and 5-year follow-up, respectively. Bioinformatics analyses indicated that the 18 lncRNA might mediate cell cycle, DNA replication processes, and canonical cancer-related pathways, in which MCM3AP-AS1 was a potential target for HCC. In conclusion, the 18-lncRNA signature was a robust predictive biomarker for the prognosis and progression of HCC.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":"355-366"},"PeriodicalIF":2.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s13353-024-00836-5","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/12 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Long non-coding RNAs (lncRNAs) have been implicated in carcinogenesis and progression of hepatocellular carcinoma (HCC). This study aimed to identify a robust lncRNA signature for predicting the survival of HCC patients. We performed an integrated analysis of the lncRNA expression profiling in The Cancer Genome Atlas (TCGA)-liver hepatocellular carcinoma database to identify the prognosis-related lncRNA for the HCC. The HCC cohort was randomly divided into a training set (n = 250) and a testing set (n = 113). Following a two-step screening, we identified an 18-lncRNA signature risk score. The high-risk subgroups had significantly shorter survival time than the low-risk group in both the training set (P < 0.0001) and the testing set (P = 0.005). Stratification analysis revealed that the prognostic value of the lncRNA-based signature was independent of the tumor stage and pathologic stage. The area under the receiver operating characteristic curve (AUROC) of the 18-lncRNA signature risk score was 0.826 (95%CI, 0.764-0.888), 0.817 (95%CI, 0.759-0.876), and 0.799 (95%CI, 0.731-0.867) for 1-year, 3-year, and 5-year follow-up, respectively. Bioinformatics analyses indicated that the 18 lncRNA might mediate cell cycle, DNA replication processes, and canonical cancer-related pathways, in which MCM3AP-AS1 was a potential target for HCC. In conclusion, the 18-lncRNA signature was a robust predictive biomarker for the prognosis and progression of HCC.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于lncRNA的特征用于鉴别肝细胞癌的预后和进展。
长非编码 RNA(lncRNA)与肝细胞癌(HCC)的发生和发展有关。本研究旨在确定一个用于预测 HCC 患者生存期的强健的 lncRNA 标志。我们对癌症基因组图谱(TCGA)-肝脏肝细胞癌数据库中的lncRNA表达谱进行了整合分析,以确定与HCC预后相关的lncRNA。HCC 队列被随机分为训练集(n = 250)和测试集(n = 113)。经过两步筛选,我们确定了18个lncRNA特征风险评分。在训练集中,高风险亚组的生存时间明显短于低风险组(P
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Applied Genetics
Journal of Applied Genetics 生物-生物工程与应用微生物
CiteScore
4.30
自引率
4.20%
发文量
62
审稿时长
6-12 weeks
期刊介绍: The Journal of Applied Genetics is an international journal on genetics and genomics. It publishes peer-reviewed original papers, short communications (including case reports) and review articles focused on the research of applicative aspects of plant, human, animal and microbial genetics and genomics.
期刊最新文献
Correction to: Diallel analysis of common bean (Phaseolus vulgaris L.) genotypes for seed dietary fibre, carbohydrate, calcium and phosphorus contents. Retraction Note: A new DNA sequence entropy-based Kullback-Leibler algorithm for gene clustering. Peptidylprolyl isomerase D circular RNA sensitizes breast cancer to trastuzumab through remodeling HER2 N4-acetylcytidine modification. The role of multidisciplinary diagnostic and therapeutic model of care in Lamb-Shaffer syndrome - case report. Uncovering the role of aquaporin and chromobox family members as potential biomarkers in head and neck squamous cell carcinoma via integrative multiomics and in silico approach.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1