2413 - Identification of Radioresistance Biomarkers Using Surface-Enhanced Raman Scattering (SERS) Molecular Diagnosis and Multi-Omics in NSCLC Cells
Presenter(s)
N. Li1, Y. Wu1, and W. Zhou2; 1Radiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China, 2Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, China
Purpose/Objective(s): Surface-enhanced Raman spectroscopy (SERS), as a powerful detection tool, is able to provide structural information such as molecular vibration and rotation, but there is currently no relevant research in predicting the radiosensitivity of non-small cell lung cancer (NSCLC). To explore whether SERS could detect potential molecular targets influencing NSCLC radiosensitivity, we designed a novel nanomaterial with higher signal reproducibility and stability. Using this nanomaterial, we obtained specific high-quality SERS signals of radioresistant NSCLC cells, and validated its potential value in predicting the radiosensitivity of NSCLC.
Materials/Methods: We prepared DNA modified gold-silver core-shell nanorods (DNA@Au/Ag NRs). Radioresistant A549 cells were constructed by low dose multiple irradiation and the accumulation up to 60Gy. The substance changes in cell supernatant between radioresistant A549 cells and wild-type A549 cells were analyzed based on Raman omics, then verified by amino acid metabolism, non-target metabolomics and KEGG pathway analysis.
Results: The SERS signal sensitivity was effectively improved, and problems such as the easy aggregation and poor stability of nanosolids were solved based on DNA@Au/Ag NRs. Abnormal metabolism of aromatic amino acids (tyrosine and tryptophan), covalent binding of DNA and proteins, abnormal fatty acid metabolism under the influence of 5-aminolevulinic acid, and oxidative of phospholipids were obtained through SERS and multi-omics analysis, these substances might identified as potential molecular targets in radioresistant NSCLC cells, and they jointly affected radiosensitivity. The glycerophospholipid metabolism pathway and the biosynthesis pathway of aromatic amino acids (phenylalanine, tyrosine, and tryptophan) selected by KEGG pathway analysis were consistent with the Ramanomics analysis.
Conclusion: Multi-omics guided by SERS molecular diagnosis is a valuable and promising research strategy for studying the molecular biomarkers of radiotherapy sensitivity in NSCLC, which is expected to provide a theoretical basis for achieving individualized, efficient, and precise radiotherapy in the future.