Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor
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 m...
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2021
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oai:doaj.org-article:888975c01e5c4ff48ef3494e982b55062021-11-08T02:36:07ZDevelopment and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor1687-846910.1155/2021/5070099https://doaj.org/article/888975c01e5c4ff48ef3494e982b55062021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5070099https://doaj.org/toc/1687-8469Emerging 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.Hao ChenJinghua WangRuijie ZengYujun LuoKehang GuoHuihuan WuQi YangRui JiangWeihong ShaZewei ZhuoHindawi LimitedarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENJournal of Oncology, Vol 2021 (2021) |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Hao Chen Jinghua Wang Ruijie Zeng Yujun Luo Kehang Guo Huihuan Wu Qi Yang Rui Jiang Weihong Sha Zewei Zhuo Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor |
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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. |
format |
article |
author |
Hao Chen Jinghua Wang Ruijie Zeng Yujun Luo Kehang Guo Huihuan Wu Qi Yang Rui Jiang Weihong Sha Zewei Zhuo |
author_facet |
Hao Chen Jinghua Wang Ruijie Zeng Yujun Luo Kehang Guo Huihuan Wu Qi Yang Rui Jiang Weihong Sha Zewei Zhuo |
author_sort |
Hao Chen |
title |
Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor |
title_short |
Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor |
title_full |
Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor |
title_fullStr |
Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor |
title_full_unstemmed |
Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor |
title_sort |
development and validation of a novel mitophagy-related gene prognostic signature for hepatocellular carcinoma based on immunoscore classification of tumor |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/888975c01e5c4ff48ef3494e982b5506 |
work_keys_str_mv |
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