Rajabi Ali, Dastmalchi Narges, Shokri Neda, Tayefeh-Gholami Samaneh, Yaghoubi Seyyed Mohammad, Safaralizadeh Reza
Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
Department of Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
Rep Biochem Mol Biol. 2023 Apr;12(1):120-126. doi: 10.52547/rbmb.12.1.120.
A critical role has been known for lncRNAs in the initiation and development of cancers. Therefore, lncRNAs have been reported as the possible biomarkers in relation to the diagnosis and therapy of malignancies. This project examined the change in CYTOR lncRNA expression in human cervical cancer samples as compared with adjacent healthy ones.
We provided one hundred fifteen pairs of tumorous and adjacent healthy tissue specimens of cervical cancer patients. RNAs were isolated from tissue specimens and cDNAs were synthesized. We considered quantitative Real-time PCR (qRT-PCR) to examine the expression levels of CYTOR lncRNA. In addition, the biomarker activity of CYTOR and the associations between the lncRNA and clinicopathological characteristics were evaluated.
The significant increased expression of CYTOR was obtained in cancerous samples as compared with non-cancerous ones (P< 0.0001). A significant correlation was indicated between CYTOR expression and the squamous subtype of cervical cancer (p=0.046). The receiver operating characteristic (ROC) curve-related AUC (area under the curve), specificity, and sensitivity were calculated 0.88, 81.74%, and 80%, respectively, which may introduce CYTOR as a potential biomarker.
CYTOR may be an effective oncogene and biomarker in cervical cancer cases given its increased expression in human cervical cancer tissues.
已知长链非编码RNA(lncRNA)在癌症的发生和发展中起关键作用。因此,lncRNA已被报道为与恶性肿瘤诊断和治疗相关的潜在生物标志物。本项目研究了人宫颈癌样本中CYTOR lncRNA表达与相邻健康样本相比的变化。
我们提供了115对宫颈癌患者的肿瘤组织和相邻健康组织标本。从组织标本中分离RNA并合成cDNA。我们采用定量实时聚合酶链反应(qRT-PCR)检测CYTOR lncRNA的表达水平。此外,评估了CYTOR的生物标志物活性以及lncRNA与临床病理特征之间的关联。
与非癌样本相比,癌样本中CYTOR的表达显著增加(P<0.0001)。CYTOR表达与宫颈癌鳞状亚型之间存在显著相关性(p=0.046)。计算出的受试者工作特征(ROC)曲线相关的曲线下面积(AUC)、特异性和敏感性分别为0.88、81.74%和80%,这可能表明CYTOR是一种潜在的生物标志物。
鉴于CYTOR在人宫颈癌组织中表达增加,它可能是宫颈癌病例中的一种有效癌基因和生物标志物。