Cao Yuxuan, Liu Xinbo, Liu Jiayi, Su Ziyi, Liu Wenxuan, Yang Lei, Zhang Liwen
Department of Epidemiology and Statistics, Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China.
Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Front Oncol. 2024 Apr 17;14:1357248. doi: 10.3389/fonc.2024.1357248. eCollection 2024.
Lung cancer is one of the most dangerous cancers in the world. Most lung cancer patients are diagnosed in the middle and later stages, which can lead to poor survival rates. The development of lung cancer is often accompanied by abnormal expression of exosomal non-coding RNAs, which means that they have the potential to serve as noninvasive novel molecular markers for lung cancer diagnosis.
For this study, we conducted a comprehensive literature search in PubMed, Web of science, Science direct, Embase, Cochrane, and Medline databases, and by reviewing published literature, The diagnostic capacity of exosomal microRNAs (miRNAs), long-chain non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) for lung cancer was evaluated. Functional enrichment analysis of miRNA target genes was performed.
The study included 41 papers, a total of 68 studies. More than 60 miRNAs, 9 lncRNAs and 14 circRNAs were involved. The combined sensitivity and specificity were 0.83(95%CI, 0.800.86) and 0.83(95% CI,0.790.87); 0.71(95% CI,0.680.74) and 0.79(95%CI, 0.750.82); 0.79(95%CI,0.670.87) and 0.81(95%CI,0.740.86), and constructed overall subject operating characteristic curves with the summarized area under the curve values of 0.90, 0.82, and 0.86.
Our study shows that exosomes miRNAs, lncRNAs and circRNAs are effective in the diagnosis of lung cancer, providing evidence for studies related to novel lung cancer diagnostic markers.
https://www.crd.york.ac.uk/prospero/, identifier CRD42023457087.
肺癌是世界上最危险的癌症之一。大多数肺癌患者在中晚期被诊断出来，这可能导致生存率低下。肺癌的发展通常伴随着外泌体非编码RNA的异常表达，这意味着它们有可能作为肺癌诊断的非侵入性新型分子标志物。
在本研究中，我们在PubMed、Web of science、Science direct、Embase、Cochrane和Medline数据库中进行了全面的文献检索，并通过回顾已发表的文献，评估了外泌体微小RNA（miRNA）、长链非编码RNA（lncRNA）和环状RNA（circRNA）对肺癌的诊断能力。对miRNA靶基因进行了功能富集分析。
该研究纳入41篇论文，共68项研究。涉及60多种miRNA、9种lncRNA和14种circRNA。合并敏感度和特异度分别为0.83（95%CI，0.800.86）和0.83（95%CI，0.790.87）；0.71（95%CI，0.680.74）和0.79（95%CI，0.750.）；0.79（95%CI，0.670.87）和0.81（95%CI，0.740.86），并构建了总受试者工作特征曲线，曲线下面积汇总值分别为0.90、0.8和&0.86。
我们的研究表明，外泌体miRNA、lncRNA和circRNA在肺癌诊断中有效，为肺癌新型诊断标志物相关研究提供了证据。
