Abstract
Background and objective: This study aimed to assess miR21 and miR-29a diagnostic usefulness for HPV infection and Cervical Cancer (CC) detection.
Methods: miRs extraction has been performed on HPV-positive, CC and negative control of 43, 50 and 46 individuals, respectively. The expression level of miRs has been analyzed using Real-Time RT-PCR.
Results: There was a correlation between the expression of miRs and the Receiver Operating Characteristic (ROC) analysis in CC and HPV-positive patients.
Conclusion: The correlation between expressions of miRs is notable. ROC curve analysis could be applied in molecular diagnostic exposure for CC related to HPV infections.
Keywords: Biomarker, cervical cancer, HPV, miR-21, miR-29a, Receiver Operating Characteristic (ROC).
Graphical Abstract
MicroRNA
Title:miR-21 and miR29-a: Potential Molecular Biomarkers for HPV Genotypes and Cervical Cancer Detection
Volume: 9 Issue: 4
Author(s): Sara Zamani, Seyed Masoud Hosseini and Amir Sohrabi*
Affiliation:
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm,Sweden
Keywords: Biomarker, cervical cancer, HPV, miR-21, miR-29a, Receiver Operating Characteristic (ROC).
Abstract:
Background and objective: This study aimed to assess miR21 and miR-29a diagnostic usefulness for HPV infection and Cervical Cancer (CC) detection.
Methods: miRs extraction has been performed on HPV-positive, CC and negative control of 43, 50 and 46 individuals, respectively. The expression level of miRs has been analyzed using Real-Time RT-PCR.
Results: There was a correlation between the expression of miRs and the Receiver Operating Characteristic (ROC) analysis in CC and HPV-positive patients.
Conclusion: The correlation between expressions of miRs is notable. ROC curve analysis could be applied in molecular diagnostic exposure for CC related to HPV infections.
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Cite this article as:
Zamani Sara , Hosseini Masoud Seyed and Sohrabi Amir *, miR-21 and miR29-a: Potential Molecular Biomarkers for HPV Genotypes and Cervical Cancer Detection, MicroRNA 2020; 9 (4) . https://dx.doi.org/10.2174/2211536609666191115110015
DOI https://dx.doi.org/10.2174/2211536609666191115110015 |
Print ISSN 2211-5366 |
Publisher Name Bentham Science Publisher |
Online ISSN 2211-5374 |
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