AUTHOR=Leventakou Danai , Gouloumi Alina-Roxani , Spathis Aris , Pouliakis Abraham , Koufopoulos Nektarios , Pergialiotis Vassilios , Drakakis Peter , Panayiotides Ioannis G. , Kottaridi Christine 

TITLE=Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups

JOURNAL=Frontiers in Cell and Developmental Biology

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2023.1101041

DOI=10.3389/fcell.2023.1101041

ISSN=2296-634X

ABSTRACT=Background: Human Papilloma Virus (HPV) is considered as a successful pathogen as it has the ability to evade host immune responses and establish long-term persistent infection. Programmed Death Ligand 1 (PDL-1) expression is correlated with HPV-positivity and is increased with lesion progression or tumor metastasis in cervical cancer. The expression of microRNAs (miRNAs) is often deregulated in cancer disease and their potential targets are affected.
Methods: RNA was extracted from formalin fixed cervical samples of different histological types, previously typed for the presence of HPV virus. A specific quantitative Polymerase Chain Reaction (qPCR) protocol with SYBR Green was used to check for the expression of four miRNAs that were computationally predicted to target PDL-1.
Results and conclusion: hsa-miR-20a-5p and hsa-miR-106b-5p are two miRNAs that showed an expression increase with the severity of the lesions, while hsa-miR-125b-5p depicted a significant decrease in its expression in cancerous samples were compared to normal samples.