Association between grade brain tumors and the interleukin-10 receptor subunit alpha based on surface-enhanced Raman spectroscopy and multivariate analysis

We present herein a label-free method based on surface-enhanced Raman spectroscopy (SERS) that was performed using a silicon-based SERS platform. The differentiation between primary and secondary brain tumors SERS data was completed partial least squares (PLS) method with a very high 85% of accuracy (in only first and second factors), whereas calculated using principal component analysis (PCA) method gives 74% (in two consecutive components). Additionally, due to the fact that the interleukin-10 (IL-10) cytokine receptor may act in cancer as both an immunosuppressive and an immunostimulant factor, the correlation between the tumor grading and the cytokine receptor are presented. Obtained data indicate that the function of IL-10 cytokine receptor subunit alpha most probably depends or is closely related to the tumor stage.

Automated summary

A label-free method based on surface-enhanced Raman spectroscopy (SERS) using a silicon-based SERS platform was utilized to differentiate primary and secondary brain tumors with high accuracy. The study also found a correlation between IL-10 cytokine receptor and tumor grading.