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A Nucleotide Metabolism-Related Gene Signature for Risk Stratification and Prognosis Prediction in Hepatocellular Carcinoma Based on an Integrated Transcriptomics and Metabolomics Approach

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Title: A Nucleotide Metabolism-Related Gene Signature for Risk Stratification and Prognosis Prediction in Hepatocellular Carcinoma Based on an Integrated Transcriptomics and Metabolomics Approach
Authors: Tianfu Wei, Jifeng Liu, Shurong Ma, Mimi Wang, Qihang Yuan, Anliang Huang, Zeming Wu, Dong Shang, Peiyuan Yin
Source: Metabolites, Vol 13, Iss 11, p 1116 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Microbiology
Subject Terms: nucleotide metabolism, hepatocellular carcinoma, prognosis signature, molecular classification, chemotherapy sensitivity, tumor immune microenvironment, Microbiology, QR1-502
More Details: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. The in-depth study of genes and metabolites related to nucleotide metabolism will provide new ideas for predicting the prognosis of HCC patients. This study integrated the transcriptome data of different cancer types to explore the characteristics and significance of nucleotide metabolism-related genes (NMGRs) in different cancer types. Then, we constructed a new HCC classifier and prognosis model based on HCC samples from TCGA and GEO, and detected the gene expression level in the model through molecular biology experiments. Finally, nucleotide metabolism-related products in serum of HCC patients were examined using untargeted metabolomics. A total of 97 NMRGs were obtained based on bioinformatics techniques. In addition, a clinical model that could accurately predict the prognostic outcome of HCC was constructed, which contained 11 NMRGs. The results of PCR experiments showed that the expression levels of these genes were basically consistent with the predicted trends. Meanwhile, the results of untargeted metabolomics also proved that there was a significant nucleotide metabolism disorder in the development of HCC. Our results provide a promising insight into nucleotide metabolism in HCC, as well as a tailored prognostic and chemotherapy sensitivity prediction tool for patients.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 13111116
2218-1989
Relation: https://www.mdpi.com/2218-1989/13/11/1116; https://doaj.org/toc/2218-1989
DOI: 10.3390/metabo13111116
Access URL: https://doaj.org/article/5be429f4ff484d9887d74dfe039efea5
Accession Number: edsdoj.5be429f4ff484d9887d74dfe039efea5
Database: Directory of Open Access Journals
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  Data: A Nucleotide Metabolism-Related Gene Signature for Risk Stratification and Prognosis Prediction in Hepatocellular Carcinoma Based on an Integrated Transcriptomics and Metabolomics Approach
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  Data: <searchLink fieldCode="AR" term="%22Tianfu+Wei%22">Tianfu Wei</searchLink><br /><searchLink fieldCode="AR" term="%22Jifeng+Liu%22">Jifeng Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Shurong+Ma%22">Shurong Ma</searchLink><br /><searchLink fieldCode="AR" term="%22Mimi+Wang%22">Mimi Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Qihang+Yuan%22">Qihang Yuan</searchLink><br /><searchLink fieldCode="AR" term="%22Anliang+Huang%22">Anliang Huang</searchLink><br /><searchLink fieldCode="AR" term="%22Zeming+Wu%22">Zeming Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Dong+Shang%22">Dong Shang</searchLink><br /><searchLink fieldCode="AR" term="%22Peiyuan+Yin%22">Peiyuan Yin</searchLink>
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  Data: Metabolites, Vol 13, Iss 11, p 1116 (2023)
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  Data: <searchLink fieldCode="DE" term="%22nucleotide+metabolism%22">nucleotide metabolism</searchLink><br /><searchLink fieldCode="DE" term="%22hepatocellular+carcinoma%22">hepatocellular carcinoma</searchLink><br /><searchLink fieldCode="DE" term="%22prognosis+signature%22">prognosis signature</searchLink><br /><searchLink fieldCode="DE" term="%22molecular+classification%22">molecular classification</searchLink><br /><searchLink fieldCode="DE" term="%22chemotherapy+sensitivity%22">chemotherapy sensitivity</searchLink><br /><searchLink fieldCode="DE" term="%22tumor+immune+microenvironment%22">tumor immune microenvironment</searchLink><br /><searchLink fieldCode="DE" term="%22Microbiology%22">Microbiology</searchLink><br /><searchLink fieldCode="DE" term="%22QR1-502%22">QR1-502</searchLink>
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  Data: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. The in-depth study of genes and metabolites related to nucleotide metabolism will provide new ideas for predicting the prognosis of HCC patients. This study integrated the transcriptome data of different cancer types to explore the characteristics and significance of nucleotide metabolism-related genes (NMGRs) in different cancer types. Then, we constructed a new HCC classifier and prognosis model based on HCC samples from TCGA and GEO, and detected the gene expression level in the model through molecular biology experiments. Finally, nucleotide metabolism-related products in serum of HCC patients were examined using untargeted metabolomics. A total of 97 NMRGs were obtained based on bioinformatics techniques. In addition, a clinical model that could accurately predict the prognostic outcome of HCC was constructed, which contained 11 NMRGs. The results of PCR experiments showed that the expression levels of these genes were basically consistent with the predicted trends. Meanwhile, the results of untargeted metabolomics also proved that there was a significant nucleotide metabolism disorder in the development of HCC. Our results provide a promising insight into nucleotide metabolism in HCC, as well as a tailored prognostic and chemotherapy sensitivity prediction tool for patients.
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      – SubjectFull: nucleotide metabolism
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      – SubjectFull: hepatocellular carcinoma
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      – SubjectFull: prognosis signature
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