Abstract

In this study, we employed bioinformatics techniques to investigate the radiosensitization mechanisms of graphene oxide (GO) and silver-platinum (AgPt) nanocomposites (NCs) on microRNAs (miRNAs) in non-small cell lung cancer (NSCLC). The GO@AgPt nanocomposites were synthesized through a hydrothermal method involving graphene oxide. Characterization and structural analysis were performed using transmission electron microscopy (TEM), atomic force microscopy (AFM), X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared spectroscopy (FTIR). Our experimental model was A549 cells, categorized into three groups: the blank group, control group, and GO@AgPt group. The blank group remained untreated, while the control group was exposed to 4Gy X-ray irradiation. The GO@AgPt group received 15 μg/mL GO@AgPt for 4 hours before exposure to 4Gy X-ray irradiation. Cellular RNA was extracted from each group, and a transcriptome sequencing library was constructed. Subsequent analysis identified differential genes, followed by gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway assessments. Our results revealed the uniform attachment of AgPt spherical nanoparticles (NPs) with an approximate diameter of 10 nm to the GO surface. The GO@AgPt nanocomposites comprised four single-layer GO sheets, each approximately 4 nm in thickness, with the Ag peak area being about six times that of the Pt peak area. A total of 197 miRNAs exhibited differential expression between the GO@AgPt and control groups, with 94 up-regulated and 103 down-regulatedmiRNAs. These miRNAs were associated with biological processes such as positive regulation of gene expression, cell surface interactions, and growth factor binding. Furthermore, they were implicated in various pathways, including microRNAs in cancer, fatty acid metabolism, human T-cell leukemia virus 1 infection, FoxO signaling, and alcoholic liver disease. Our findings demonstrate that GO@AgPt nanocomposites enhance the radio-sensitization effect in NSCLC, with 197 differentialmiRNAs participating in the process.

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