Radiation treatment response and hypoxia biomarkers revealed by machine learning assisted Raman spectroscopy in tumour cells and xenograft tissues
Xinchen Deng, Kirsty Milligan, Alexandre G. Brolo, Julian J. Lum, Jeffrey L. Andrews, Andrew Jirasek
Abstract
, glycogen, alanine, and arginine) were also identified in H460 xenografts. To summarize, GBR-NMF-RF-SHAP combined with RS can be applied to monitor the RT-induced biochemical response within cellular and tissue environments. Individual biochemicals were identified that (i) contributed to overall biological response to radiation, and (ii) spatially correlated with hypoxic regions of the tumour. RS combined with our analytical pipeline shows promise for further understanding of individual biochemical dynamics in radiation response for use in cancer therapy.
Topics & Concepts
Tumor microenvironmentCancer researchRadiation therapyHypoxia (environmental)MetabolomicsChemistryComputational biologyMedicineBiologyBioinformaticsInternal medicineTumor cellsOxygenOrganic chemistrySpectroscopy Techniques in Biomedical and Chemical ResearchMetabolomics and Mass Spectrometry StudiesMolecular Biology Techniques and Applications