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. 2023 Apr;12(1):120-126.
doi: 10.52547/rbmb.12.1.120.

Expression Level of lncRNA CYTOR in Iranian Cervical Cancer Patients

Ali Rajabi  1 , Narges Dastmalchi  1 , Neda Shokri  1 , Samaneh Tayefeh-Gholami  1 , Seyyed Mohammad Yaghoubi  2 , Reza Safaralizadeh  1
Affiliations

Expression Level of lncRNA CYTOR in Iranian Cervical Cancer Patients

Ali Rajabi et al. Rep Biochem Mol Biol. 2023 Apr.

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusion: CYTOR may be an effective oncogene and biomarker in cervical cancer cases given its increased expression in human cervical cancer tissues.

Keywords: Biomarker; CYTOR; Cervical cancer; lncRNA; qRT-PCR.

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Conflict of interest statement

None.

Figures

Fig. 1
Fig. 1
The overexpression of CYTOR in cervical cancer tumor samples as compared with adjacent non-tumorous samples (P <0.0001).
Fig. 2
Fig. 2
The CYTOR-related ROC curve; (AUC=0.88, specificity=81.74%, sensitivity=80%, the cutoff score=<0.004975, and 95%CI=0.9399 to 0.9844).
See this image and copyright information in PMC

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