Development of Autophagy Signature-Based Prognostic Nomogram for Refined Glioma Survival Prognostication
Joint Authors
Fan, Yuxiang
Peng, Xinyu
Li, Baoqin
Zhao, Gang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-07
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
The current glioma classification could be optimized to cover such a separate and individualized prognosis ranging from a few months to over ten years.
Considering its highly conserved role and potential in therapies, autophagy might be a promising element to be incorporated as a refinement for improved survival prognostication.
The expression and RNA-seq data of 881 glioma patients from the Gene Expression Omnibus and The Cancer Genome Atlas were included, mapped with autophagy-related genes.
Weighted gene coexpression network analysis and Cox regression analysis were used for the autophagy signature establishment, which composed of MUL1, NPC1, and TRIM13.
Validations were represented by Kaplan-Meier plots and receiver operating curves (ROC).
Cluster analysis suggested the IDH1 mutant involved in the favorable prognosis of the signature clusters.
The signature was also immune-related shown by the Gene Ontology analysis and the Gene Set Enrichment Analysis.
The high signature risk group held a higher ESTIMATE score (p=2.6e−11) and stromal score (p=1.8e−10).
CD276 significantly correlated with the signature (r=0.51, p<0.05).
The final nomogram integrated with the autophagy signature, IDH1 mutation, and pathological grade was built with accuracy and discrimination (1-year survival AUC=0.812, 5-year survival AUC=0.822, and 10-year survival AUC=0.834).
Its prognostic value and clinical utility were well-defined by the superiority in the comparisons with the current World Health Organization glioma classification in ROC (p<0.05) and decision curve analysis.
The autophagy signature-based IDH1 mutation and grade nomogram refined glioma classification for a more individualized and clinically applicable survival estimation and inspired potential autophagy-related therapies.
American Psychological Association (APA)
Fan, Yuxiang& Peng, Xinyu& Li, Baoqin& Zhao, Gang. 2020. Development of Autophagy Signature-Based Prognostic Nomogram for Refined Glioma Survival Prognostication. BioMed Research International،Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1132044
Modern Language Association (MLA)
Fan, Yuxiang…[et al.]. Development of Autophagy Signature-Based Prognostic Nomogram for Refined Glioma Survival Prognostication. BioMed Research International No. 2020 (2020), pp.1-23.
https://search.emarefa.net/detail/BIM-1132044
American Medical Association (AMA)
Fan, Yuxiang& Peng, Xinyu& Li, Baoqin& Zhao, Gang. Development of Autophagy Signature-Based Prognostic Nomogram for Refined Glioma Survival Prognostication. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1132044
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132044