2901 - Research on the Application of Raman Spectroscopy in Predicting the Efficacy of Nasopharyngeal Carcinoma Treatment and Assessing Acute Adverse Reactions to Radiotherapy
Presenter(s)
R. Huang1, G. Yin2, J. Lang3, H. Fan1, Y. Yang1, and P. Zhang4; 1Sichuan Clinical ResearchCenter for Cancer, Sichuan Cancer Hospital & Institute, SichuanCancerCenter, University ofElectronic Science and Technology of China, Chengdu, China, 2Sichuan Cancer Hospital and Research Institute, University of Electronic Science and Technology of China, Chengdu, China, 3Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, chengdu, China, 4Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
Purpose/Objective(s): This study applied Raman spectroscopy to detect serum samples from nasopharyngeal carcinoma (NPC) patients and explore the differences in serum Raman spectroscopy with different efficacy and acute adverse reactions.
Materials/Methods: This is a prospective study, 73 NPC patients undergoing radical chemoradiotherapy were divided into two groups: complete response (CR) and partial response (PR) according to the efficacy evaluation criteria version 1.1 (RECIST 1.1). Meanwhile, we conducted grading of the acute adverse reactions referring to the RTOG Acute Radiation Toxicity Grading Criteria. Venous blood was drawn before treatment, during radiotherapy (15-20 fractions) and after radiotherapy. We performed preprocessing on these original spectral data with the help of a programming environment software, and analyzed data by R language, Logistic regression, Elastic network model, Principal Component Analysis (PCA) and receiver operating characteristic curve (ROC). Furthermore, we performed univariate and multivariate analysis of the predictors to assess their accuracy.
Results: 73 subjects were included in the study, with the CR group 54 cases (74%) and the PR group 19 cases (26%). We extracted eight Raman spectral principal components (RC1-8) that were significantly associated with efficacy, namely RC1 and RC2 before treatment, RC3 and RC4 in RT, and RC5, RC6, RC7 and RC8 after radiotherapy. The results of the univariate analysis model suggested that RC1 and RC2, RC3, RC5, RC6, and RC7 showed significant differences between the different treatment responses group (P <0.05). The results of the multivariate model showed that RC1, RC2 (P 0.001) and RC5-8 differ significantly between efficacy groups (P <0.05). According to the comparative analysis of the average serum spectra before and after treatment, we found that the decrease of glutathione, glycogen and DNA content and the increase of lipid content showed the main manifestations after treatment. We used the OPLS-DA classification algorithm to classify the radioactive oral mucositis into mild reaction group (grade 0-2) and severe reaction group (grade 3-4) and found that the classification accuracy of the serum sample classification model was 78.5%. At the same time, radioactive salivary gland injuries were grouped by grades 1 and 2, and their classification accuracy reached 100%.
Conclusion: Raman spectroscopy technology demonstrated potential in predicting therapeutic efficacy and evaluating acute adverse reactions in patients with NPC.