Identification of a single cell-based signature for predicting prognosis risk and immunotherapy response in patients with glioblastoma

Identification of a single cell-based signature for predicting prognosis risk and immunotherapy response in patients with glioblastoma

Copyright © 2023 Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 251(2023) vom: 30. Juni, Seite 109345
1. Verfasser: Dai, Ziyu (VerfasserIn)
Weitere Verfasser: Zhang, Nan, Zhou, Ran, Zhang, Hao, Zhang, Liyang, Wang, Zeyu, Zeng, Wenjing, Luo, Peng, Zhang, Jian, Liu, Zhixiong, Cheng, Quan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Glioblastoma Pan-cancer Prognostic signature Single-cell RNA sequencing Tumor immunotherapy
Beschreibung
Zusammenfassung:Copyright © 2023 Elsevier Inc. All rights reserved.
This study constructed a novel gene pair signature based on bulk and single-cell sequencing samples in relative expression order within the samples. The subsequent analysis included glioma samples from Xiangya Hospital. Gene pair signatures possessed a solid ability to predict the prognosis of glioblastoma and pan-cancer. Samples having different malignant biological hallmarks were distinguished by the algorithm, with the high gene pair score group featuring classic copy number variations, oncogenic mutations, and extensive hypomethylation, mediating poor prognosis. The increased gene pair score group with a poorer prognosis demonstrated significant enrichment in tumor and immune-related signaling pathways while presenting immunological diversity. The remarkable infiltration of M2 macrophages in the high gene pair score group was validated by multiplex immunofluorescence, suggesting that combination therapies targeting adaptive and innate immunity may serve as a therapeutic option. Overall, a gene pair signature applicable to predict prognosis hopefully provides a reference to guide clinical practice
Beschreibung:Date Completed 23.05.2023
Date Revised 23.05.2023
published: Print-Electronic
Citation Status MEDLINE
ISSN:1521-7035
DOI:10.1016/j.clim.2023.109345