Cargando…

Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis

SIMPLE SUMMARY: Head and neck squamous cell carcinoma (HNSCC) accounts for hundreds thousands deaths annually. We hereby propose a retrospective in silico study to shed light on gene–miRNA interactions and topological biomarkers driving the development of HNSCC. To achieve this, gene and miRNA profi...

Descripción completa

Detalles Bibliográficos
Autores principales: Arfin, Saniya, Kumar, Dhruv, Lomagno, Andrea, Mauri, Pietro Luigi, Di Silvestre, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563081/
https://www.ncbi.nlm.nih.gov/pubmed/37686696
http://dx.doi.org/10.3390/cancers15174420
_version_ 1785118269294772224
author Arfin, Saniya
Kumar, Dhruv
Lomagno, Andrea
Mauri, Pietro Luigi
Di Silvestre, Dario
author_facet Arfin, Saniya
Kumar, Dhruv
Lomagno, Andrea
Mauri, Pietro Luigi
Di Silvestre, Dario
author_sort Arfin, Saniya
collection PubMed
description SIMPLE SUMMARY: Head and neck squamous cell carcinoma (HNSCC) accounts for hundreds thousands deaths annually. We hereby propose a retrospective in silico study to shed light on gene–miRNA interactions and topological biomarkers driving the development of HNSCC. To achieve this, gene and miRNA profiles are holistically reevaluated using protein–protein interaction (PPI) and bipartite miRNA–target networks. The landscape of our findings depicts a concerted molecular action in activating genes promoting cell cycle and proliferation, and inactivating those suppressive. In this scenario, genes, including VEGFA, EMP1, PPL, KRAS, MET, TP53, MMPs and HOXs, and miRNAs, including mir-6728 and mir-99a, emerge as key players in the molecular interactions driving HNSCC tumorigenesis. ABSTRACT: Head and neck squamous cell carcinoma (HNSCC) is among the most common cancer worldwide, accounting for hundreds thousands deaths annually. Unfortunately, most patients are diagnosed in an advanced stage and only a percentage respond favorably to therapies. To help fill this gap, we hereby propose a retrospective in silico study to shed light on gene–miRNA interactions driving the development of HNSCC. Moreover, to identify topological biomarkers as a source for designing new drugs. To achieve this, gene and miRNA profiles from patients and controls are holistically reevaluated using protein–protein interaction (PPI) and bipartite miRNA–target networks. Cytoskeletal remodeling, extracellular matrix (ECM), immune system, proteolysis, and energy metabolism have emerged as major functional modules involved in the pathogenesis of HNSCC. Of note, the landscape of our findings depicts a concerted molecular action in activating genes promoting cell cycle and proliferation, and inactivating those suppressive. In this scenario, genes, including VEGFA, EMP1, PPL, KRAS, MET, TP53, MMPs and HOXs, and miRNAs, including mir-6728 and mir-99a, emerge as key players in the molecular interactions driving HNSCC tumorigenesis. Despite the heterogeneity characterizing these HNSCC subtypes, and the limitations of a study pointing to relationships that could be context dependent, the overlap with previously published studies is encouraging. Hence, it supports further investigation for key molecules, both those already and not correlated to HNSCC.
format Online
Article
Text
id pubmed-10563081
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-105630812023-10-11 Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis Arfin, Saniya Kumar, Dhruv Lomagno, Andrea Mauri, Pietro Luigi Di Silvestre, Dario Cancers (Basel) Article SIMPLE SUMMARY: Head and neck squamous cell carcinoma (HNSCC) accounts for hundreds thousands deaths annually. We hereby propose a retrospective in silico study to shed light on gene–miRNA interactions and topological biomarkers driving the development of HNSCC. To achieve this, gene and miRNA profiles are holistically reevaluated using protein–protein interaction (PPI) and bipartite miRNA–target networks. The landscape of our findings depicts a concerted molecular action in activating genes promoting cell cycle and proliferation, and inactivating those suppressive. In this scenario, genes, including VEGFA, EMP1, PPL, KRAS, MET, TP53, MMPs and HOXs, and miRNAs, including mir-6728 and mir-99a, emerge as key players in the molecular interactions driving HNSCC tumorigenesis. ABSTRACT: Head and neck squamous cell carcinoma (HNSCC) is among the most common cancer worldwide, accounting for hundreds thousands deaths annually. Unfortunately, most patients are diagnosed in an advanced stage and only a percentage respond favorably to therapies. To help fill this gap, we hereby propose a retrospective in silico study to shed light on gene–miRNA interactions driving the development of HNSCC. Moreover, to identify topological biomarkers as a source for designing new drugs. To achieve this, gene and miRNA profiles from patients and controls are holistically reevaluated using protein–protein interaction (PPI) and bipartite miRNA–target networks. Cytoskeletal remodeling, extracellular matrix (ECM), immune system, proteolysis, and energy metabolism have emerged as major functional modules involved in the pathogenesis of HNSCC. Of note, the landscape of our findings depicts a concerted molecular action in activating genes promoting cell cycle and proliferation, and inactivating those suppressive. In this scenario, genes, including VEGFA, EMP1, PPL, KRAS, MET, TP53, MMPs and HOXs, and miRNAs, including mir-6728 and mir-99a, emerge as key players in the molecular interactions driving HNSCC tumorigenesis. Despite the heterogeneity characterizing these HNSCC subtypes, and the limitations of a study pointing to relationships that could be context dependent, the overlap with previously published studies is encouraging. Hence, it supports further investigation for key molecules, both those already and not correlated to HNSCC. MDPI 2023-09-04 /pmc/articles/PMC10563081/ /pubmed/37686696 http://dx.doi.org/10.3390/cancers15174420 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arfin, Saniya
Kumar, Dhruv
Lomagno, Andrea
Mauri, Pietro Luigi
Di Silvestre, Dario
Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis
title Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis
title_full Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis
title_fullStr Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis
title_full_unstemmed Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis
title_short Differentially Expressed Genes, miRNAs and Network Models: A Strategy to Shed Light on Molecular Interactions Driving HNSCC Tumorigenesis
title_sort differentially expressed genes, mirnas and network models: a strategy to shed light on molecular interactions driving hnscc tumorigenesis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563081/
https://www.ncbi.nlm.nih.gov/pubmed/37686696
http://dx.doi.org/10.3390/cancers15174420
work_keys_str_mv AT arfinsaniya differentiallyexpressedgenesmirnasandnetworkmodelsastrategytoshedlightonmolecularinteractionsdrivinghnscctumorigenesis
AT kumardhruv differentiallyexpressedgenesmirnasandnetworkmodelsastrategytoshedlightonmolecularinteractionsdrivinghnscctumorigenesis
AT lomagnoandrea differentiallyexpressedgenesmirnasandnetworkmodelsastrategytoshedlightonmolecularinteractionsdrivinghnscctumorigenesis
AT mauripietroluigi differentiallyexpressedgenesmirnasandnetworkmodelsastrategytoshedlightonmolecularinteractionsdrivinghnscctumorigenesis
AT disilvestredario differentiallyexpressedgenesmirnasandnetworkmodelsastrategytoshedlightonmolecularinteractionsdrivinghnscctumorigenesis