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miR-34a and miR-125b Expression in HPV Infection and Cervical Cancer Development

We aimed to characterize miR-125b and miR-34a expression in 114 women with different cervical lesions: normal epithelium with (n = 20) and without (n = 29) HPV infection; LSIL (n = 28); HSIL (n = 29); and ICC (n = 8). miRNA expression analysis was performed by comparing the distinct groups with the...

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Detalles Bibliográficos
Autores principales: Ribeiro, Joana, Marinho-Dias, Joana, Monteiro, Paula, Loureiro, Joana, Baldaque, Inês, Medeiros, Rui, Sousa, Hugo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477216/
https://www.ncbi.nlm.nih.gov/pubmed/26180794
http://dx.doi.org/10.1155/2015/304584
Descripción
Sumario:We aimed to characterize miR-125b and miR-34a expression in 114 women with different cervical lesions: normal epithelium with (n = 20) and without (n = 29) HPV infection; LSIL (n = 28); HSIL (n = 29); and ICC (n = 8). miRNA expression analysis was performed by comparing the distinct groups with the reference group (women with normal epithelium without HPV). For miR-125b, we observed a twofold (2(−ΔΔCt) = 2.11; P = 0.038) increased expression among women with normal epithelium with HPV infection and a trend of downregulation in different cervical lesions including an 80% reduction (2(−ΔΔCt) = 0.21; P = 0.004) in ICC. Similarly, miR-34a expression analysis revealed an increased expression (2(−ΔΔCt) = 1.69; P = 0.049) among women with normal cervix and HPV infection, and despite no significant correlation with cervical lesions, its expression was increased by twofold (2(−ΔΔCt) = 2.08; P = 0.042) in ICC. Moreover, miR-125b levels were able to predict invasive cancers with 88% sensitivity and 69% specificity. Results showed that while miR-34a expression seems to be correlated with invasive cervical cancer, miR-125b expression is significantly changed within the different cervical lesions and their levels should be further investigated as possible predictive/prognostic biomarkers using a noninvasive approach.