Keywords
ncRNA - early-detection - NSCLC - biomarkers - lung cancer screening
Lung cancer is the main cause of cancer-related deaths worldwide. The poor prognosis
of lung cancer patients is due to diagnosis at advanced stages. The detection of biomarkers
in body fluids, as liquid biopsy, may serve as a tool for risk assessment, with the
potential to enhance early disease diagnosis. This project aimed to identify non-coding
RNA (ncRNA)-based signatures for the early detection of non-small cell lung cancer
(NSCLC) using liquid biopsies. This is a case-control study with subjects and patients
from Barretos Cancer Hospital (n = 123) and Hospital Universitari Quiron Dexeus (n = 186). ncRNAs (miRNAs and circRNAs) were analyzed in plasma and/or sputum samples
from non-metastatic NSCLC patients and controls. Expression analysis was conducted
using NanoString Technologies™ assays: Human v3 miRNA assay (800 miRNAs) and Custom
nCounter ElementsXT (74 circRNAs). Raw data were normalized by coeficient of variation
(miRNA) or DeSeq/RUVSeq (circRNA) followed by diferential expression analysis filtered
using RStudio (miRNA: binary logistic regression; circRNA: random forest). In plasma,
we identified ten differentially expressed miRNAs (AUC=0.827; mean signature score:
cases=3.9 vs. controls=1.8) distinguishing NSCLC patients from high-risk subjects.
In sputum, we identified seven miRNAs (AUC=0.776; mean signature score: cases=3.8
vs. controls =5.3) for distinguishing cancer patients from control subjects. Both
differentially expressed miRNAs sets were fluid-specific. For circRNAs, we identified
four differentially expressed genes with high accuracy for distinguishing cancer patients
from healthy subjects (AUC = 0.745). The presence of the 4-circRNA signature was exclusively
associated with cancer status (OR=4.28). In conclusion, we identified ncRNA-based
signatures in liquid biopsy samples that could potentially be employed for early detection
of lung cancer including screening programs to improve the detection rates of early-stages
lung cancer.
Corresponding author: Letícia Ferro Leal (e-mail: leticiaferroleal@gmail.com).
Bibliographical Record
Giovanna Maria Stanfoca Casagrande, Welinton Hirai, Rodrigo Sampaio Chiarantano, Fabiana
de Lima Vazquez, Carlos Pedraz-Valdez, Ana Gimenez-Capitán, Miguel Angel Molina-Vila,
Rui Manuel Rei, Leticia Ferro Leal. NcRNA-based signatures as early detection biomarkers
for non-small cell lung cancer. Brazilian Journal of Oncology 2025; 21.
DOI: 10.1055/s-0045-1808014