Biomarkers via liquid biopsy for distinguishing malignant from benign pulmonary ground-glass nodule.

ABSTRACT: The differentiation between benign and malignant pulmonary ground-glass nodules (GGNs) has always been a current clinical hotspot issue. Patients with pulmonary GGNs from 8 centers were enrolled to identify biomarkers for malignancy and benignity discrimination, and an integrated biomarker panel comprising two miRNA, one long non-coding RNA (lncRNA), and one circular RNA (cirRNA) identified by multivariate logistic regression analysis were established. The classifier had area under the receiver-operating characteristic (ROC) curve (AUC) of 0.88, 87.8% sensitivity and 70% specificity, being significantly higher compared with the Mayo model (AUC of 0.72), Brock model (AUC of 0.70), and Herder model (AUC of 0.82) (all p < 0.05). Moreover, relative expression of miR1246 and mi

SUBMITTER: Wu Z 

PROVIDER: S-EPMC12357096 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature