Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes

Hepatocellular carcinoma is a disastrous cancer with an aberrant metabolism. In this study, we aimed to assess the role of metabolism in the prognosis of hepatocellular carcinoma. Ten metabolism-related pathways were identified to classify the hepatocellular carcinoma into two clusters: Metabolism_H...

Full description

Bibliographic Details
Main Authors: Tingbo Ye, Leilei Lin, Lulu Cao, Weiguo Huang, Shengzhe Wei, Yunfeng Shan, Zhongjing Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.863266/full
_version_ 1818552011044421632
author Tingbo Ye
Tingbo Ye
Leilei Lin
Lulu Cao
Weiguo Huang
Shengzhe Wei
Yunfeng Shan
Zhongjing Zhang
author_facet Tingbo Ye
Tingbo Ye
Leilei Lin
Lulu Cao
Weiguo Huang
Shengzhe Wei
Yunfeng Shan
Zhongjing Zhang
author_sort Tingbo Ye
collection DOAJ
description Hepatocellular carcinoma is a disastrous cancer with an aberrant metabolism. In this study, we aimed to assess the role of metabolism in the prognosis of hepatocellular carcinoma. Ten metabolism-related pathways were identified to classify the hepatocellular carcinoma into two clusters: Metabolism_H and Metabolism_L. Compared with Metabolism_L, patients in Metabolism_H had lower survival rates with more mutated TP53 genes and more immune infiltration. Moreover, risk scores for predicting overall survival based on eleven differentially expressed metabolic genes were developed by the least absolute shrinkage and selection operator (LASSO)-Cox regression model in The Cancer Genome Atlas (TCGA) dataset, which was validated in the International Cancer Genome Consortium (ICGC) dataset. The immunohistochemistry staining of liver cancer patient specimens also identified that the 11 genes were associated with the prognosis of liver cancer patients. Multivariate Cox regression analyses indicated that the differentially expressed metabolic gene-based risk score was also an independent prognostic factor for overall survival. Furthermore, the risk score (AUC = 0.767) outperformed other clinical variables in predicting overall survival. Therefore, the metabolism-related survival-predictor model may predict overall survival excellently for HCC patients.
first_indexed 2024-12-12T09:07:31Z
format Article
id doaj.art-bb7ae29bc4704f35953d5b4c9860abfd
institution Directory Open Access Journal
issn 2234-943X
language English
last_indexed 2024-12-12T09:07:31Z
publishDate 2022-05-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Oncology
spelling doaj.art-bb7ae29bc4704f35953d5b4c9860abfd2022-12-22T00:29:37ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-05-011210.3389/fonc.2022.863266863266Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway PhenotypesTingbo Ye0Tingbo Ye1Leilei Lin2Lulu Cao3Weiguo Huang4Shengzhe Wei5Yunfeng Shan6Zhongjing Zhang7Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaKey Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Ultrasound, Wenzhou People’s Hospital, Wenzhou, ChinaDepartment of Pathology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, ChinaDepartment of Vascular Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Hand Surgery and Peripheral Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Vascular Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaHepatocellular carcinoma is a disastrous cancer with an aberrant metabolism. In this study, we aimed to assess the role of metabolism in the prognosis of hepatocellular carcinoma. Ten metabolism-related pathways were identified to classify the hepatocellular carcinoma into two clusters: Metabolism_H and Metabolism_L. Compared with Metabolism_L, patients in Metabolism_H had lower survival rates with more mutated TP53 genes and more immune infiltration. Moreover, risk scores for predicting overall survival based on eleven differentially expressed metabolic genes were developed by the least absolute shrinkage and selection operator (LASSO)-Cox regression model in The Cancer Genome Atlas (TCGA) dataset, which was validated in the International Cancer Genome Consortium (ICGC) dataset. The immunohistochemistry staining of liver cancer patient specimens also identified that the 11 genes were associated with the prognosis of liver cancer patients. Multivariate Cox regression analyses indicated that the differentially expressed metabolic gene-based risk score was also an independent prognostic factor for overall survival. Furthermore, the risk score (AUC = 0.767) outperformed other clinical variables in predicting overall survival. Therefore, the metabolism-related survival-predictor model may predict overall survival excellently for HCC patients.https://www.frontiersin.org/articles/10.3389/fonc.2022.863266/fullhepatocellular carcinomametabolismmutant oncogenetumor immunityoverall survival
spellingShingle Tingbo Ye
Tingbo Ye
Leilei Lin
Lulu Cao
Weiguo Huang
Shengzhe Wei
Yunfeng Shan
Zhongjing Zhang
Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
Frontiers in Oncology
hepatocellular carcinoma
metabolism
mutant oncogene
tumor immunity
overall survival
title Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
title_full Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
title_fullStr Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
title_full_unstemmed Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
title_short Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
title_sort novel prognostic signatures of hepatocellular carcinoma based on metabolic pathway phenotypes
topic hepatocellular carcinoma
metabolism
mutant oncogene
tumor immunity
overall survival
url https://www.frontiersin.org/articles/10.3389/fonc.2022.863266/full
work_keys_str_mv AT tingboye novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT tingboye novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT leileilin novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT lulucao novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT weiguohuang novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT shengzhewei novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT yunfengshan novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes
AT zhongjingzhang novelprognosticsignaturesofhepatocellularcarcinomabasedonmetabolicpathwayphenotypes