RT Journal Article
T1 Construction of miRNA-mRNA networks for the identification of lung cancer biomarkers in liquid biopsies.
A1 Espinosa-Garcia, Elena
A1 Arroyo-Varela, Macarena
A1 Larrosa-Jimenez, Rafael
A1 Gomez-Maldonado, Josefa
A1 Cobo-Dols, Manuel Angel
A1 Claros, M Gonzalo
A1 Bautista-Moreno, Rocio
K1 Biomarker
K1 High-throughput sequencing
K1 Lung cancer
K1 RNA-seq
K1 miRNA
AB 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.
PB Springer
YR 2022
FD 2022-10-13
LK http://hdl.handle.net/10668/21230
UL http://hdl.handle.net/10668/21230
LA en
NO Espinosa Garcia E, Arroyo Varela M, Larrosa Jimenez R, Gomez-Maldonado J, Cobo Dols MA, Claros MG, et al. Construction of miRNA-mRNA networks for the identification of lung cancer biomarkers in liquid biopsies. Clin Transl Oncol. 2023 Mar;25(3):643-652
DS RISalud
RD Apr 11, 2025