Roles of microRNA-486-5p in the diagnosis and the association with clinical symptoms of cervical cancer
<b>Aim:</b> To explore the predictive value of <i>miR-486-5p</i> in early cervical cancer and the associations of <i>miR-486-5p</i> with different clinical symptoms.<b>Materials & methods:</b> A total of 185 women were recruited. The relative expression levels of serum <i>miR-486-5p</i> were analyzed by real-time polymerase chain reaction. The receiver operator characteristic curves were utilized to reflect the predictive performance of <i>miR-486-5p</i> and squamous cell carcinoma antigen for early cervical cancer. Univariate logistic regression and ranked logistic regression were used to explore the associations of <i>miR-486-5p</i> with different clinical symptoms of early cervical cancer, with odd ratios (ORs) and 95% confidence intervals.<b>Results:</b> Eighty-one women (44.26%) had early cervical cancer. The relative expression of serum <i>miR-486-5p</i> was 1.99-fold higher in early cervical cancer patients than that in controls (<i>p</i> < 0.0001). The predictive performance of <i>miR-486-5p</i> for early cervical cancer was significantly superior to that of squamous cell carcinoma antigen, with an area under the curve of 0.865 (<i>p</i> < 0.001), sensitivity of 1.000 and specificity of 0.804. In addition, overexpressed <i>miR-486-5p</i> was associated with high odds of maximum tumor diameter increase (OR = 1.30, 95% CI: [1.01-1.66]).<b>Conclusion:</b> <i>MiR-486-5p</i> may be a potential biomarker for the early cervical cancer diagnosis, and was linked to the risk of maximum tumor diameter.
Authors
- Xiaowen Hu (ORCID: https://orcid.org/0000-0003-0772-248X)
- Guoliu Ye (ORCID: https://orcid.org/0000-0003-4634-7942)
- Yan Wang (ORCID: https://orcid.org/0000-0001-6111-5379)
- Lingling Wang (ORCID: https://orcid.org/0000-0002-7194-1014)
- Kang Yang (ORCID: https://orcid.org/0009-0004-2680-2455)
Institutions
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Biomarkers in Medicine
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1080/17520363.2024.2400963
- Citations
- 2
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.57