Analysis of proteomics based on LC-MS detection on the efficacy of immunocombined therapy for hepatocellular carcinoma.

Abstract

e14549 Background: Combined immunotherapy has become the preferred treatment for HCC. However, it faces challenges: possible serious adverse reactions, the low objective response rate, and the median overall survival is about 20 months, which is far from meeting the clinical treatment needs. There is still a lack of effective predictive biomarkers in clinical practice to screen the dominant population of combined immunotherapy. The purpose of this study is to use LC-MS to screen and identify differential metabolites between patients with different efficacy to help screen the dominant population of clinical immunotherapy. Methods: 38 HCC patients were included who were treated in the Tumor Center of the First Hospital of Jilin University from June 2020 to March 2022 and received combined immunotherapy. Sample collection and follow· -up, and collect basic clinical data. The enrolled patients underwent enhanced CT examination every 3 treatment cycles, and the efficacy of the patients was evaluated according to the solid tumor efficacy evaluation standard 1.1 (RECIST V1.1). The serum of patients before treatment was detected by LC-MS, and the difference of mass spectrometry data between patients with different curative effects was compared, and the differential metabolites were explored by proteomics analysis. Results: The best of response was partial response in 7 patients (22.6 %), stable disease in 6 patients, and progressive disease in 18 patients (58.1 %). Based on LC-MS proteomics analysis, differential metabolites between patients with different therapeutic effects were screened and identified, namely Q9Y275, Q56UQ5, P13611, and P30530 (P < 0.05). The relative abundance of Q9Y275, Q56UQ5, P13611 and P30530 in the disease control rate group was higher than that in the PD group. Conclusions: Based on LC-MS proteomics analysis, four types of differential metabolites between different populations of PLC patients receiving combined immunotherapy were screened and identified, namely Q9Y275, Q56UQ5, P13611 and P30530.