Ontology highlight
ABSTRACT: Background
Non-small cell lung cancer (NSCLC) ranks among the most prevalent and lethal malignancies globally. Fatty acids (FAs) play a significant role in diverse physiological and pathological mechanisms, yet their precise involvement in NSCLC remains poorly understood.Methods
This study utilized a large-scale prospective cohort of 249,132 participants, observed over an average of 12 years, to investigate the relationship between different FAs and NSCLC risk. Analytical approaches included Cox proportional hazards regression, Kaplan-Meier survival analysis, accelerated failure time (AFT) modeling, and restricted cubic spline (RCS) analysis.Results
During the follow-up period, 1,460 participants were diagnosed with NSCLC. Cox regression analysis demonstrated that e
SUBMITTER: Lin HL
PROVIDER: S-EPMC11457710 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature