Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma

Purpose. Autophagy is a lysosomal degradation pathway that is essential for maintaining the homeostasis of the intracellular environment. Mounting evidence indicates that autophagy plays an essential role in the occurrence and development of hepatocellular cancer (HCC). This research is aimed at exp...

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Autores principales: Jianlin Zhang, Min Zhang, Jin Huang, Gaosong Zhang, Chong Li, Xingyu Wang, Weihao Kong
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/36382bfe231143fea0d514f6072e870f
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spelling oai:doaj.org-article:36382bfe231143fea0d514f6072e870f2021-11-08T02:36:36ZDevelopment and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma2314-614110.1155/2021/7771037https://doaj.org/article/36382bfe231143fea0d514f6072e870f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7771037https://doaj.org/toc/2314-6141Purpose. Autophagy is a lysosomal degradation pathway that is essential for maintaining the homeostasis of the intracellular environment. Mounting evidence indicates that autophagy plays an essential role in the occurrence and development of hepatocellular cancer (HCC). This research is aimed at exploring the prognostic value of autophagy-related genes (ARGs) in HCC patients. Methods. The Wilcoxon test was used to identify differentially expressed ARGs in The Cancer Genome Atlas (TCGA) HCC cohort. Then, the TCGA cohort was randomly divided into training and testing groups. Cox and LASSO regression models were used to screen for autophagy-related genes that affect overall survival (OS) in the TCGA training group. Based on the coefficient of risk genes, we constructed an autophagy-related gene signature for predicting the prognosis of HCC patients. Finally, we validated the prognostic significance of autophagy-related gene signature using the TCGA testing group and three external datasets. Results. ATG10, BIRC5, GAPDH, and TMEM74 are risk genes for OS. According to the optimal cutoff value of risk score in each HCC dataset, HCC patients can divide into high- and low-risk groups. ARG risk score can significantly distinguish HCC patients with different survival outcomes. Meanwhile, the ARG risk score is independently correlated with OS in multiple HCC cohorts. Conclusions. The autophagy-related risk score can effectively screen high-risk HCC patients and provide guidance for clinical prevention and treatment of HCC.Jianlin ZhangMin ZhangJin HuangGaosong ZhangChong LiXingyu WangWeihao KongHindawi LimitedarticleMedicineRENBioMed Research International, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
spellingShingle Medicine
R
Jianlin Zhang
Min Zhang
Jin Huang
Gaosong Zhang
Chong Li
Xingyu Wang
Weihao Kong
Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
description Purpose. Autophagy is a lysosomal degradation pathway that is essential for maintaining the homeostasis of the intracellular environment. Mounting evidence indicates that autophagy plays an essential role in the occurrence and development of hepatocellular cancer (HCC). This research is aimed at exploring the prognostic value of autophagy-related genes (ARGs) in HCC patients. Methods. The Wilcoxon test was used to identify differentially expressed ARGs in The Cancer Genome Atlas (TCGA) HCC cohort. Then, the TCGA cohort was randomly divided into training and testing groups. Cox and LASSO regression models were used to screen for autophagy-related genes that affect overall survival (OS) in the TCGA training group. Based on the coefficient of risk genes, we constructed an autophagy-related gene signature for predicting the prognosis of HCC patients. Finally, we validated the prognostic significance of autophagy-related gene signature using the TCGA testing group and three external datasets. Results. ATG10, BIRC5, GAPDH, and TMEM74 are risk genes for OS. According to the optimal cutoff value of risk score in each HCC dataset, HCC patients can divide into high- and low-risk groups. ARG risk score can significantly distinguish HCC patients with different survival outcomes. Meanwhile, the ARG risk score is independently correlated with OS in multiple HCC cohorts. Conclusions. The autophagy-related risk score can effectively screen high-risk HCC patients and provide guidance for clinical prevention and treatment of HCC.
format article
author Jianlin Zhang
Min Zhang
Jin Huang
Gaosong Zhang
Chong Li
Xingyu Wang
Weihao Kong
author_facet Jianlin Zhang
Min Zhang
Jin Huang
Gaosong Zhang
Chong Li
Xingyu Wang
Weihao Kong
author_sort Jianlin Zhang
title Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
title_short Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
title_full Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
title_fullStr Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
title_full_unstemmed Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma
title_sort development and validation of an autophagy-related gene signature for predicting the prognosis of hepatocellular carcinoma
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/36382bfe231143fea0d514f6072e870f
work_keys_str_mv AT jianlinzhang developmentandvalidationofanautophagyrelatedgenesignatureforpredictingtheprognosisofhepatocellularcarcinoma
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