Expression Profile of MiRNAs Computationally Predicted to Target PDL-1 in Cervical Tissues of Different Histology Groups

Overview

Journal Front Cell Dev Biol

Specialty Cell Biology

Date 2023 Mar 13

PMID 36910137

Authors

Danai Leventakou

Alina-Roxani Gouloumi

Aris Spathis

Abraham Pouliakis

Nektarios Koufopoulos

Vassilios Pergialiotis

Peter Drakakis

Ioannis G Panayiotides

Christine Kottaridi

Affiliations

Soon will be listed here.

Abstract

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. 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. 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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