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Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma

OBJECTIVES: Abnormal expression of metabolic rate‐limiting enzymes drives the occurrence and progression of hepatocellular carcinoma (HCC). This study aimed to elucidate the comprehensive model of metabolic rate‐limiting enzymes associated with the prognosis of HCC. MATERIALS AND METHODS: HCC animal...

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Autores principales: Wang, Zhangding, Fu, Yao, Xia, Anliang, Chen, Chen, Qu, Jiamu, Xu, Guifang, Zou, Xiaoping, Wang, Qiang, Wang, Shouyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488553/
https://www.ncbi.nlm.nih.gov/pubmed/34423480
http://dx.doi.org/10.1111/cpr.13117
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author Wang, Zhangding
Fu, Yao
Xia, Anliang
Chen, Chen
Qu, Jiamu
Xu, Guifang
Zou, Xiaoping
Wang, Qiang
Wang, Shouyu
author_facet Wang, Zhangding
Fu, Yao
Xia, Anliang
Chen, Chen
Qu, Jiamu
Xu, Guifang
Zou, Xiaoping
Wang, Qiang
Wang, Shouyu
author_sort Wang, Zhangding
collection PubMed
description OBJECTIVES: Abnormal expression of metabolic rate‐limiting enzymes drives the occurrence and progression of hepatocellular carcinoma (HCC). This study aimed to elucidate the comprehensive model of metabolic rate‐limiting enzymes associated with the prognosis of HCC. MATERIALS AND METHODS: HCC animal model and TCGA project were used to screen out differentially expressed metabolic rate‐limiting enzyme. Cox regression, least absolute shrinkage and selection operation (LASSO) and experimentally verification were performed to identify metabolic rate‐limiting enzyme signature. The area under the receiver operating characteristic curve (AUC) and prognostic nomogram were used to assess the efficacy of the signature in the three HCC cohorts (TCGA training cohort, internal cohort and an independent validation cohort). RESULTS: A classifier based on three rate‐limiting enzymes (RRM1, UCK2 and G6PD) was conducted and serves as independent prognostic factor. This effect was further confirmed in an independent cohort, which indicated that the AUC at year 5 was 0.715 (95% CI: 0.653‐0.777) for clinical risk score, whereas it was significantly increased to 0.852 (95% CI: 0.798‐0.906) when combination of the clinical with signature risk score. Moreover, a comprehensive nomogram including the signature and clinicopathological aspects resulted in significantly predict the individual outcomes. CONCLUSIONS: Our results highlighted the prognostic value of rate‐limiting enzymes in HCC, which may be useful for accurate risk assessment in guiding clinical management and treatment decisions.
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spelling pubmed-84885532021-10-08 Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma Wang, Zhangding Fu, Yao Xia, Anliang Chen, Chen Qu, Jiamu Xu, Guifang Zou, Xiaoping Wang, Qiang Wang, Shouyu Cell Prolif Original Articles OBJECTIVES: Abnormal expression of metabolic rate‐limiting enzymes drives the occurrence and progression of hepatocellular carcinoma (HCC). This study aimed to elucidate the comprehensive model of metabolic rate‐limiting enzymes associated with the prognosis of HCC. MATERIALS AND METHODS: HCC animal model and TCGA project were used to screen out differentially expressed metabolic rate‐limiting enzyme. Cox regression, least absolute shrinkage and selection operation (LASSO) and experimentally verification were performed to identify metabolic rate‐limiting enzyme signature. The area under the receiver operating characteristic curve (AUC) and prognostic nomogram were used to assess the efficacy of the signature in the three HCC cohorts (TCGA training cohort, internal cohort and an independent validation cohort). RESULTS: A classifier based on three rate‐limiting enzymes (RRM1, UCK2 and G6PD) was conducted and serves as independent prognostic factor. This effect was further confirmed in an independent cohort, which indicated that the AUC at year 5 was 0.715 (95% CI: 0.653‐0.777) for clinical risk score, whereas it was significantly increased to 0.852 (95% CI: 0.798‐0.906) when combination of the clinical with signature risk score. Moreover, a comprehensive nomogram including the signature and clinicopathological aspects resulted in significantly predict the individual outcomes. CONCLUSIONS: Our results highlighted the prognostic value of rate‐limiting enzymes in HCC, which may be useful for accurate risk assessment in guiding clinical management and treatment decisions. John Wiley and Sons Inc. 2021-08-23 /pmc/articles/PMC8488553/ /pubmed/34423480 http://dx.doi.org/10.1111/cpr.13117 Text en © 2021 The Authors. Cell Proliferation published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wang, Zhangding
Fu, Yao
Xia, Anliang
Chen, Chen
Qu, Jiamu
Xu, Guifang
Zou, Xiaoping
Wang, Qiang
Wang, Shouyu
Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
title Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
title_full Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
title_fullStr Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
title_full_unstemmed Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
title_short Prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
title_sort prognostic and predictive role of a metabolic rate‐limiting enzyme signature in hepatocellular carcinoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488553/
https://www.ncbi.nlm.nih.gov/pubmed/34423480
http://dx.doi.org/10.1111/cpr.13117
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