Decoding temporal heterogeneity in NSCLC through machine learning and prognostic model construction.
Journal:
World journal of surgical oncology
Published Date:
Jun 13, 2024
Abstract
BACKGROUND: Non-small cell lung cancer (NSCLC) is a prevalent and heterogeneous disease with significant genomic variations between the early and advanced stages. The identification of key genes and pathways driving NSCLC tumor progression is critical for improving the diagnosis and treatment outcomes of this disease.