Identify malignant pulmonary nodules-associated circRNAs and develop a prediction model to estimate the probability of malignancy in pulmonary nodules.

ABSTRACT:

Background

The increasing incidence of asymptomatic pulmonary nodules (PNs) underscores the need for accurate malignancy estimation to guide early-stage lung cancer management. This study aimed to identify risk factors for malignant PNs and develop a risk prediction model.

Methods

This study enrolled 691 patients with PNs (444 training, 247 validation) and 62 healthy controls. Clinical, imaging, and serum data were collected. Transcriptome sequencing was performed to identify circular RNAs (circRNAs) associated with malignant PNs. Additionally, Tumor-associated antigens and tumor-associated autoantibodies (AAbs) were measured. Univariate logistic regression analysis was employed to identify risk factors for malignant PNs, followed by multivariate logistic regression to estab

SUBMITTER: Chen K 

PROVIDER: S-EPMC12433042 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature