A novel risk score predicts prognosis in melanoma : The combination of three tumor-infiltrating immune cells and four immune-related genes

Copyright © 2021 Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 228(2021) vom: 01. Juli, Seite 108751
1. Verfasser: Wu, Pin (VerfasserIn)
Weitere Verfasser: Cai, Jiaying, Fan, Shengjun, Liu, Qian, Huyan, Tianru, He, Yao, Li, Xuejun, Zhang, Long, Su, Jing, Tie, Lu
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't ICGS model IRGs Melanoma Prognosis TIICs Biomarkers
Beschreibung
Zusammenfassung:Copyright © 2021 Elsevier Inc. All rights reserved.
Tumor-infiltrating immune cells (TIICs) and immune-related genes (IRGs) of melanoma are associated with prognosis. However, whether the combination of TIICs and IRGs can be used as prognostic clinical biomarkers are still unknown. Here, we downloaded transcription profile of melanoma from TCGA. Then, three TIICs and four IRGs that associated with the overall survival were used to constructed the Immune Cell Score (ICS) and Immune Gene Score (IGS) respectively. Next, to improve the accuracy of ICS and IGS for melanoma prognostic, we combined the ICS and IGS constructed the Immune Cell and Gene Score (ICGS) model. ICGS had higher accuracy and predictive ability than ICS or IGS. Meanwhile, ICGS model reliability was validated by two independent datasets of melanoma. Functional enrichment and protein-protein interaction network analysis based on ICGS were performed to identify T cell mediated immune and inflammatory response are highly associated with melanoma
Beschreibung:Date Completed 16.08.2021
Date Revised 16.08.2021
published: Print-Electronic
Citation Status MEDLINE
ISSN:1521-7035
DOI:10.1016/j.clim.2021.108751