1. Identification of IGF2BPs-related mRNA signature for predicting the overall survival of lung adenocarcinoma.
- Author
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Xu X, Zhao W, Peng D, Sun Y, Tantai J, and Zhao G
- Subjects
- Humans, Prognosis, Cell Line, Tumor, Biomarkers, Tumor genetics, Biomarkers, Tumor metabolism, Signal Transduction, Cell Proliferation genetics, Female, Gene Expression Profiling, Male, RNA Stability genetics, Adenocarcinoma of Lung genetics, Adenocarcinoma of Lung mortality, Adenocarcinoma of Lung pathology, Adenocarcinoma of Lung metabolism, Lung Neoplasms genetics, Lung Neoplasms mortality, Lung Neoplasms pathology, Lung Neoplasms metabolism, RNA, Messenger genetics, RNA, Messenger metabolism, Gene Expression Regulation, Neoplastic, RNA-Binding Proteins genetics, RNA-Binding Proteins metabolism
- Abstract
Insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs) are m⁶A readers that stabilize target mRNAs by recognizing the GG(m⁶A)C sequence. While previous studies have explored the biological mechanisms of IGF2BPs in lung cancer, their prognostic value remains unclear. This study investigated the expression, molecular mechanisms, and prognostic significance of IGF2BPs in lung adenocarcinoma (LUAD) using TCGA and GEO datasets. IGF2BP1/2/3 were found to be highly expressed in LUAD, with high mRNA stability scores (RS) associated with shorter overall survival (OS) and linked to hypoxia, EMT, IL2-STAT5 signaling, immune suppression, and decreased gefitinib sensitivity. In cell-based experiments, siRNA knockdown of IGF2BPs in LUAD cell lines reduced TGF-β signaling pathway-related genes and inhibited cell proliferation. Our findings suggest that the IGF2BPs gene signature is a prognostic biomarker in LUAD, contributing to tumor progression, immune escape, and poor prognosis by activating specific pathways., Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: The manuscript has been read by all participating authors, all of whom agreed to its submission for publication. Competing interests: The authors declare no competing interests. Code sharing statement: If readers have any questions regarding the specific R packages or functions used, they are welcome to contact the corresponding author., (© 2025. The Author(s).)
- Published
- 2025
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