Lung adenocarcinoma (LUAD) carries a poor prognosis at advanced stages underscoring the need to elucidate the underlying molecular mechanisms driving its pathogenesis. This study aimed to investigate the roles of eukaryotic translation initiation factor 3 subunit M () and its associated effector, serum amyloid A-like 1 (), in LUAD development and progression. Bioinformatic analyses such as TNMplot, The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and other public databases were used to evaluate and expression levels, methylation status, clinical associations, and potential transcriptional regulators across LUAD datasets.
View Article and Find Full Text PDFThe poor outcome of patients with lung adenocarcinoma (LUAD) highlights the importance to identify novel effective prognostic markers and therapeutic targets. Long noncoding RNAs (lncRNAs) have generally been considered to serve important roles in tumorigenesis and the development of various types of cancer, including LUAD. Here, we aimed to investigate the role of in LUAD and to explore its potential mechanisms by performing comprehensive bioinformatic analyses.
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