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

Authors :
Changwu Wu
Wenyong Long
Chaoying Qin
Xiangyu Wang
Yuzhe Li
Kai Xiao
Yue Li
Qing Liu
Source :
Journal of Big Data, Vol 10, Iss 1, Pp 1-25 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

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 and could predict prognosis. Additionally, three subtypes were identified in LGG tumors based on RRGs, with subtype 2 being an immune “hot” phenotype suitable for immune checkpoint therapy. The constructed RRG-related RiskScore was significantly positively correlated with the level of tumor immune cell infiltration. Patients with high RiskScore had a worse prognosis and were more likely to respond to immune checkpoint therapy. The therapeutic advantage and clinical benefits of patients with a high RiskScore were confirmed in an anti-PD-1 treatment cohort. Conclusion This study confirmed the potential of liquid biopsy for individualized treatment selection in LGG patients and determined the feasibility of circulating immune cells as biomarkers for LGG. Scoring systems based on RRGs can predict the benefits of immunotherapy and prognosis in patients with LGG. This work would help to increase our understanding of the clinical significance of liquid biopsy and more effectively guide individualized immunotherapy strategies.

Details

Language :
English
ISSN :
21961115
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Big Data
Publication Type :
Academic Journal
Accession number :
edsdoj.1dd78a1d1f9f4b57b5ac561ae46f7a08
Document Type :
article
Full Text :
https://doi.org/10.1186/s40537-023-00686-8