Construction of miRNA-mRNA networks for the identification of lung cancer biomarkers in liquid biopsies

© 2022. The Author(s)..

Lung cancer (LC) is the most common cause of cancer death worldwide mostly due to the low survival rate: 75% of cases are identified in advanced stages. In this study, the list of useful biomarkers to make an early diagnosis using liquid biopsies was expanded. A total of 30 samples of LC were analyzed to define potential miRNA biomarkers in liquid biopsies for LC. The biomarkers have been identified in interaction networks miRNA-mRNA. The potential biomarkers have been then validated in large cohorts. A total of 15 candidate miRNAs, that regulate the repression of 30 mRNAs, have been identified as a specific functional interaction network for squamous carcinoma, while the specific functional interaction network of adenocarcinoma consists of four candidate miRNAs that seem to handle the repression of five mRNA. Inspection of expression levels in larger cohorts validates the usefulness of the 11 candidates as biomarkers in liquid biopsies. The 11 candidate miRNAs found could be utilized to form diagnostic predictive biomarkers for LC in liquid biopsies.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:25

Enthalten in:

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico - 25(2023), 3 vom: 14. März, Seite 643-652

Sprache:

Englisch

Beteiligte Personen:

Espinosa Garcia, Elena [VerfasserIn]
Arroyo Varela, Macarena [VerfasserIn]
Larrosa Jimenez, Rafael [VerfasserIn]
Gomez-Maldonado, Josefa [VerfasserIn]
Cobo Dols, Manuel Angel [VerfasserIn]
Claros, M Gonzalo [VerfasserIn]
Bautista Moreno, Rocio [VerfasserIn]

Links:

Volltext

Themen:

Biomarker
Biomarkers, Tumor
High-throughput sequencing
Journal Article
Lung cancer
MiRNA
MicroRNAs
RNA, Messenger
RNA-seq

Anmerkungen:

Date Completed 23.02.2023

Date Revised 23.02.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s12094-022-02969-7

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM347448046