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Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor

Authors :
Kehang Guo
Zewei Zhuo
Jinghua Wang
Rui Jiang
Weihong Sha
Qi Yang
Yujun Luo
Ruijie Zeng
Huihuan Wu
Hao Chen
Source :
Journal of Oncology, Journal of Oncology, Vol 2021 (2021)
Publication Year :
2021
Publisher :
Hindawi, 2021.

Abstract

Emerging evidence suggested that mitophagy may play an important role in the progression of hepatocellular carcinoma (HCC), whereas the association between mitophagy-related genes and HCC patients’ prognosis remains unknown. In this study, we aimed to investigate the potential prognostic values of mitophagy-related genes (MRGs) on HCC patients at the genetic level. According to median immunoscore, we categorized HCC patients from TCGA cohort into two immune score groups, while 39 differential expression MRGs were identified. By using univariate analysis, we screened out 18 survival-associated MRGs, and then, the least absolute shrinkage and selection operator (LASSO) analysis was applied to construct a prognosis model that consisted of 9 MRGs (ATG7, ATG9A, BNIP3L, GABARAPL1, HTRA2, MAP1LC3B2, TFE3, TIGAR, and TOMM70). In our prognostic model, overall survival in the high and low-risk groups was significantly different P < 0.001 , and the respective areas under the curve (AUC) of our prognostic model were 0.686 for 3-year survival in the TCGA cohort and 0.776 for 3-year survival in the ICGC cohort. Moreover, we identified the risk score as the independent factor for predicting the HCC patients’ prognosis by using single and multifactor analyses, and a nomogram was also constructed for future clinical application. Further functional analyses showed that the immune status between two risk groups was significantly different. Our findings may provide a novel mitophagy-related gene signature, and these will be better used for prognostic prediction in HCC, thus improving patient outcome.

Details

Language :
English
ISSN :
16878450
Database :
OpenAIRE
Journal :
Journal of Oncology
Accession number :
edsair.doi.dedup.....a963f93b690092bac419db5068e17cf9
Full Text :
https://doi.org/10.1155/2021/5070099