MicroRNA Expressions in HPV-induced XXXX and Cancer.

@entity4449 @entity1 @entity1083 @entity10015 @entity957 @entity75 @entity7762 @entity10017 @entity982 @entity3799 @entity1082 @entity1799 @entity105 @entity3146 @entity20157
BACKGROUND/AIM: The role of oncogenic or high-risk @entity1082 ) in cervical @entity105 is inevitable, yet not fully understood. Detailed analysis of microRNA (miRNA) alterations occurring during high-risk HPV transformation will increase our current understanding over cervical @entity105 . The two main aims of the study were: (i) finding association between @entity1083 characteristics and socio-demographic variables, (ii) finding an predictors of clinical outcome. MATERIALS AND METHODS: The expression levels of different microRNAs ( @entity10017 , @entity4449 , @entity7762 , @entity10015 , miR-196a, @entity20157 ) were determined in formalin-fixed @entity982 -embedded (FFPE) @entity1 @entity3799 and tumorous tissue samples using quantitative real-time PCR (qPCR). Sociodemographic and life-style factors were also analyzed. RESULTS: The expression of @entity4449 was significantly higher in @entity3146 (CIN)2-3 compared to CIN1 (p=0.023) and in @entity957 ( @entity957 ) compared to CIN2-3 (p=0.033). Moreover, significantly lower levels of @entity7762 were detected in CIN2-3 than in CIN1 (p=0.041) and in @entity957 than in CIN2-3 (p=0.021). Furthermore, we found significant differences in subjects with multiple HPV in @entity4449 (p=0.015) and @entity20157 (p=0.025) in CIN2-3 compared to CIN1 and @entity10017 (p=0.002), @entity4449 (p=0.001) and @entity7762 (p=0.001) in @entity957 /CIN2-3. Expression of @entity4449 , showing up-regulation in CIN2-3 compared to CIN1 (p=0.028) and @entity7762 (down-regulated), correlated with @entity1799 positivity (CIN2-3/CIN1: p=0.027 and @entity957 /CIN2-3: p=0.036). @entity7762 expression was also significantly altered in connection to smoking status and presence of @entity1799 . CONCLUSION: The demand for additional, alternative molecular biomarkers with prognostic potential is strong. Evaluation of miRNA expression might be helpful to distinguish @entity75 and might be able to help in the prediction of @entity1083 outcome.
