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

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

doi:10.3389/fcell.2023.1101041

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

Front Cell Dev Biol. 2023 Feb 24:11:1101041. doi: 10.3389/fcell.2023.1101041. eCollection 2023.

Authors

Danai Leventakou¹, Alina-Roxani Gouloumi¹, Aris Spathis¹, Abraham Pouliakis¹, Nektarios Koufopoulos¹, Vassilios Pergialiotis², Peter Drakakis³, Ioannis G Panayiotides¹, Christine Kottaridi^{1

4}

Affiliations

¹ 2nd Department of Pathology, University General Hospital Attikon, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
² 1st Department of Obstetrics and Gynecology, Alexandra General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
³ 3rd Department of Obstetrics and Gynecology, School of Medicine, University General Hospital Attikon, National and Kapodistrian University of Athens, Athens, Greece.
⁴ Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Abstract

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.

Keywords: HPV; PDL-1; cervical cancer; gene expression profiling; histology; miRNAs.

Publication types

Review