Enhancing molecular insights into 3D HepG2 tumor dynamics through Raman spectroscopy optimization
Year: 2026
Type: article
Abstract: This study presents a novel integrative approach combining Raman spectroscopy and gene expression profiling to monitor the progression of hepatocellular carcinoma (HCC) within a physiologically relevant 3D HepG2 cell model. We demonstrate how an optimized experimental design, including precise laser incidence angles, high spectral and spatial resolution, and advanced data processing techniques, significantly enhances the sensitivity and specificity of Raman scattering in detecting biochemical alterations associated with tumor evolution. This methodology enables non-invasive, real-time physiological monitoring of tumor progression at the molecular level, offering broad applicability in cancer diagnostics and therapeutic evaluation.
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $2,870
Awards: G301296060, G5403330925
OpenAlex ID: W7155162966