Ontology highlight
ABSTRACT: Background
Lung cancer constitutes the leading cause of cancer mortality globally. This study assessed LungCanSeek, a novel blood-based protein test for lung cancer early detection.Methods
This retrospective study enrolled 1,814 participants (1,095 lung cancer, 719 non-cancer) from three different cohorts. Blood samples were analyzed for four protein tumor markers (PTMs) using Roche cobas. Artificial intelligence (AI) algorithms were developed for lung cancer detection and subtype classification: lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), and small cell lung cancer (SCLC). A two-step approach was modeled, using LungCanSeek for initial screening, followed by low-dose computed tomography (LDCT) for LungCanSeek's positive cases.Results
LungCanSeek
SUBMITTER: Wei B
PROVIDER: S-EPMC12541848 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature