MicroRNA-508-3p regulates the proliferation of human lung cancer cells by targeting G1 to S phase transition 1 (GSPT1) protein
Abstract
Purpose: Due to its crucial cancer regulatory role, microRNA-508-3p has been reported as a potential therapeutic anticancer molecular target. The present work encompassed the molecular characterization of microRNA-508-3p in lung cancer emphasizing on understanding the possible mechanism of its regulatory action. Methods: qRT-PCR was performed to estimate the relative gene expression of microRNA-508-p in the tissue samples. The proliferation of cancer cells was determined by cell counting kit-8. The colony formation from cancer cells was analyzed by clonogenic assay. Mitotic phase distribution was understood by employing the flow cytometric technique. Edu-Hoechst staining was used for the assessment of cell viability. In silico analysis and dual-luciferase assay were used for target identification of microRNA-508-3p in lung cancer. Immunofluorescence and western blotting studies were carried out for relative protein expression. The rat models were used for performing the in vivo experimental procedures. Results: The study showed the significant down-regulation of microRNA-508-3p in lung cancer. The lower expression levels of microRNA-508-3p were shown to be associated with poor survival of lung cancer patients. The over-expression of microRNA-508-3p was found to decline the proliferation and viability of cancer cells together with the induction of mitotic cell cycle arrest at G1 by targeting G1 to S phase transition 1 (GSPT1) protein. MicroRNA-508-3p up-regulation inhibited the in vivo tumor growth in rat models. Conclusion: Our study identifies miR-508-3p as a pivotal regulator of lung cancer cell proliferation by targeting the GSPT1 protein. This highlights its potential as a tumor suppressor and a therapeutic target for lung cancer. Our findings offer mechanistic insights into miRNA-mediated cancer progression, prompting further research in this intricate regulatory network.
Copyright (c) 2023 Xingyou Chen, Chen Feng, Jiliang Zha, Zihao Shen, Wei Ji
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