Tumor-educated platelet RNA as a diagnostic biomarker for ground-glass opacity-related lung adenocarcinoma.

ABSTRACT:

Background

Ground-glass opacities (GGOs) are a common computed tomography (CT) imaging feature in various pulmonary diseases, including early-stage lung adenocarcinoma (LUAD). The investigation of tumor-specific biomarkers for the diagnosis of early LUAD holds significant clinical importance. The aim of this study was to integrate highly specific tumor-educated platelet (TEP)-derived biomarkers to optimize preoperative evaluation.

Methods

After identifying differentially expressed genes (DEGs), six machine learning methods were applied to the sequencing results of cohort 1, generating a DEG-TEP data set. The DEGs in cohort 2 were considered to be the DEG-TISSUES data set. The intersection of these two gene sets was designated as the intersection-17 data set. Validation of th

SUBMITTER: Shao M 

PROVIDER: S-EPMC12432625 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature