Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma

作者：Changwu Wu, Wenyong Long, Chaoying Qin, Xiangyu Wang, Yuzhe Li, Kai Xiao, Yue Li, Qing Liu · 发表于：Journal Of Big Data · 年份：2023 · DOI：10.1186/s40537-023-00686-8 · 被引用次数：11 · 研究领域：Glioma Diagnosis and Treatment、Cancer Immunotherapy and Biomarkers、Ferroptosis and cancer prognosis

Abstract Background Recent studies have shown that immunotherapies, including peptide vaccines, remain promising strategies for patients with lower grade glioma (LGG); however new biomarkers need to be developed to identify patients who may benefit from therapy. We aimed to investigate the feasibility of liquid biopsy-based gene signatures in predicting the prognosis of LGG patients, as well as the benefits of immunotherapy. Methods We evaluated the association between circulating immune cells and treatment response by analyzing peripheral blood mononuclear cell (PBMC) samples from LGG patients receiving peptide vaccine immunotherapy, identified response-related genes (RRGs), and constructed RRG-related Response Score. In addition, RRG-related RiskScore was constructed in LGG tumor samples based on RRGs; association analysis for RiskScore and characteristics of TME as well as patient prognosis were performed in two LGG tumor datasets. The predictive power of RiskScore for immunotherapy benefits was analyzed in an anti-PD-1 treatment cohort. Results This study demonstrated the importance of circulating immune cells, including monocytes, in the immunotherapeutic response and prognosis of patients with LGG. Overall, 43 significant RRGs were identified, and three clusters with different characteristics were identified in PBMC samples based on RRGs. The constructed RRG-related Response Score could identify patients who produced a complete response to peptide vaccine immunotherapy ...