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

Background: Human papilloma virus (HPV) is considered a successful pathogen as it has the ability to evade host immune responses and establish long-term persistent infection. It has been reported that programmed death ligand 1 (PDL-1) expression is correlated with HPV-positivity and is increased wit...

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Autores principales: Leventakou, Danai, Gouloumi, Alina-Roxani, Spathis, Aris, Pouliakis, Abraham, Koufopoulos, Nektarios, Pergialiotis, Vassilios, Drakakis, Peter, Panayiotides, Ioannis G., Kottaridi, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998664/
https://www.ncbi.nlm.nih.gov/pubmed/36910137
http://dx.doi.org/10.3389/fcell.2023.1101041
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author Leventakou, Danai
Gouloumi, Alina-Roxani
Spathis, Aris
Pouliakis, Abraham
Koufopoulos, Nektarios
Pergialiotis, Vassilios
Drakakis, Peter
Panayiotides, Ioannis G.
Kottaridi, Christine
author_facet Leventakou, Danai
Gouloumi, Alina-Roxani
Spathis, Aris
Pouliakis, Abraham
Koufopoulos, Nektarios
Pergialiotis, Vassilios
Drakakis, Peter
Panayiotides, Ioannis G.
Kottaridi, Christine
author_sort Leventakou, Danai
collection PubMed
description Background: Human papilloma virus (HPV) is considered a successful pathogen as it has the ability to evade host immune responses and establish long-term persistent infection. It has been reported that 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, and their potential targets are affected. Methods: RNA was extracted from formalin-fixed paraffin-embedded (FFPE) cervical samples of different histological types, previously typed for the presence of HPV. 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 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 when compared to normal samples.
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spelling pubmed-99986642023-03-11 Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups Leventakou, Danai Gouloumi, Alina-Roxani Spathis, Aris Pouliakis, Abraham Koufopoulos, Nektarios Pergialiotis, Vassilios Drakakis, Peter Panayiotides, Ioannis G. Kottaridi, Christine Front Cell Dev Biol Cell and Developmental Biology Background: Human papilloma virus (HPV) is considered a successful pathogen as it has the ability to evade host immune responses and establish long-term persistent infection. It has been reported that 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, and their potential targets are affected. Methods: RNA was extracted from formalin-fixed paraffin-embedded (FFPE) cervical samples of different histological types, previously typed for the presence of HPV. 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 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 when compared to normal samples. Frontiers Media S.A. 2023-02-24 /pmc/articles/PMC9998664/ /pubmed/36910137 http://dx.doi.org/10.3389/fcell.2023.1101041 Text en Copyright © 2023 Leventakou, Gouloumi, Spathis, Pouliakis, Koufopoulos, Pergialiotis, Drakakis, Panayiotides and Kottaridi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Leventakou, Danai
Gouloumi, Alina-Roxani
Spathis, Aris
Pouliakis, Abraham
Koufopoulos, Nektarios
Pergialiotis, Vassilios
Drakakis, Peter
Panayiotides, Ioannis G.
Kottaridi, Christine
Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups
title Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups
title_full Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups
title_fullStr Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups
title_full_unstemmed Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups
title_short Expression profile of miRNAs computationally predicted to target PDL-1 in cervical tissues of different histology groups
title_sort expression profile of mirnas computationally predicted to target pdl-1 in cervical tissues of different histology groups
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998664/
https://www.ncbi.nlm.nih.gov/pubmed/36910137
http://dx.doi.org/10.3389/fcell.2023.1101041
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