Assessment of the radiotherapy effect for nasopharyngeal cancer using plasma surface-enhanced Raman spectroscopy technology

Abstract

Nasopharyngeal cancer (NPC) is a malignant tumor of the head and neck, which is extremely sensitive to radiotherapy. The aim of this study is to evaluate the feasibility of a label-free nanobiosensor based on plasma surface-enhanced Raman spectroscopy (SERS) to assess the radiotherapy effect in NPC. Here, SERS measurements were performed on plasma samples from 40 pre-treatment and post-treatment NPC as well as 30 healthy volunteers. Results demonstrate that the spectral characteristic of post-treatment samples is obviously different from that of pre-treatment ones, owing to the changes of biomolecules in plasma induced by radiotherapy. Classification sensitivities of 83.3%, 61.8% and 95.1%, and specificities of 91.2%, 67.4% and 93% can be achieved for separating pre- and post-treatment samples, post-treatment and normal samples, and pre-treatment and normal samples, respectively, suggesting the great potential of plasma SERS method as a rapid and convenient tool for radiotherapy assessment and cancer screening in NPC.

Human blood test based on surface‐enhanced Raman spectroscopy technology using different excitation light for nasopharyngeal cancer detection

“…The variations in SERS peak strength can reflect the biological molecular changes related to the cancer status because of SERS peak was generated by biological molecules such as proteins, nucleic acids and lipids. This was basically consistent with the changes of SERS spectrum of nasopharyngeal cancer plasma measured by Wu et al [30]. The SERS band at 725 cm −1 corresponds to the C–H bending mode of adenine and coenzyme A.…”

“…The SERS band at 725 cm −1 corresponds to the C–H bending mode of adenine and coenzyme A. Moreover, the percentage of adenine and coenzyme A are considerably decreased in cancer group, also indicating an abnormal metabolism of DNA or RNA bases in the plasma of NPC patients [30]. Consequently, the distinctive differences in SERS spectra between normal and cancer plasma samples further reinforce that SERS can be used to detect biomolecular changes associated with NPC transformation.…”

Study on the chemodrug-induced effect in nasopharyngeal carcinoma cells using laser tweezer Raman spectroscopy

“…Principal components analysis (PCA) combined with linear discriminant analysis (LDA) and decision tree (DT) were used for analyzing the spectral data by the SPSS software package (SPSS Inc., Chicago, IL, USA). Firstly, we used PCA-LDA [40][41][42] to investigate whether there were significant statistical differences between the control and experimental groups. The standardized data set of the Raman spectrum was input into SPSS for analysis.…”

A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances

“…[ 101 ] After SERS measured the plasma of nasopharyngeal carcinoma (NPC) patients and healthy volunteers, the effect of NPC radiotherapy was evaluated. [ 102 ] Raman spectroscopy combined with multivariate data analysis (such as PCA, partial minimum variance analysis, and SVM) methods created a reliable and rapid technique for diagnosing the bacteria that cause the symptoms of urinary tract infections. The unique micro‐Raman spectral features exhibited by the five bacterial biochemical components of urinary tract infections (UTIs) were successfully detected.…”