Yu Zongtao, Chen Shaoqiu, Tang Zhenming, Tang Ying, Ling Zhougui, Wang Hongwei, Gong Ting, Gao Zitong, Devendra Gehan, Huang Gang, Chen Wei, Deng Youping
Department of Laboratory Medicine, Affiliated Taihe Hospital of Xi'an Jiaotong University Health Science Center, Shiyan, Hubei 710061, China.
Department of Internal Medicine, Rush University Cancer Center, Rush University Medical Center, Kidston House, Chicago, IL 60612, USA.
Genes Dis. 2022 Aug 7;10(3):1055-1061. doi: 10.1016/j.gendis.2022.07.013. eCollection 2023 May.
Small non-coding RNAs are potential diagnostic biomarkers for lung cancer. Mitochondria-derived small RNA (mtRNA) is a novel regulatory small non-coding RNA that only recently has been identified and cataloged. Currently, there are no reports of studies of mtRNA in human lung cancer. Currently, normalization methods are unstable, and they often fail to identify differentially expressed small non-coding RNAs (sncRNAs). In order to identify reliable biomarkers for lung cancer screening, we used a ratio-based method using mtRNAs newly discovered in human peripheral blood mononuclear cells. In the discovery cohort (AUC = 0.981) and independent validation cohort (AUC = 0.916) the prediction model of eight mtRNA ratios distinguished lung cancer patients from controls. The prediction model will provide reliable biomarkers that will allow blood-based screening to become more feasible and will help make lung cancer diagnosis more accurate in clinical practice.
小非编码RNA是肺癌潜在的诊断生物标志物。线粒体衍生的小RNA（mtRNA）是一种新型的调节性小非编码RNA，直到最近才被识别和分类。目前，尚无关于mtRNA在人类肺癌中研究的报道。目前，标准化方法不稳定，它们常常无法识别差异表达的小非编码RNA（sncRNA）。为了识别用于肺癌筛查的可靠生物标志物，我们使用了一种基于比率的方法，该方法利用了在人类外周血单核细胞中新发现的mtRNA。在发现队列（AUC = 0.981）和独立验证队列（AUC = 0.916）中，八个mtRNA比率的预测模型将肺癌患者与对照区分开来。该预测模型将提供可靠的生物标志物，使基于血液的筛查变得更可行，并有助于在临床实践中使肺癌诊断更准确。
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