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Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma

BACKGROUND: Metabolic abnormalities in patients with gastric adenocarcinoma lead to drug resistance and poor prognosis. Therefore, this study aimed to explore biomarkers that can predict the prognostic risk of gastric adenocarcinoma by analyzing drug metabolism‐related genes. METHODS: The RNA‐seq an...

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Autores principales: Yin, Hong‐mei, He, Qiong, Chen, Jia, Li, Zhen, Yang, Wanli, Hu, Xiaobo
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/PMC8649372/
https://www.ncbi.nlm.nih.gov/pubmed/34773716
http://dx.doi.org/10.1002/jcla.24085
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author Yin, Hong‐mei
He, Qiong
Chen, Jia
Li, Zhen
Yang, Wanli
Hu, Xiaobo
author_facet Yin, Hong‐mei
He, Qiong
Chen, Jia
Li, Zhen
Yang, Wanli
Hu, Xiaobo
author_sort Yin, Hong‐mei
collection PubMed
description BACKGROUND: Metabolic abnormalities in patients with gastric adenocarcinoma lead to drug resistance and poor prognosis. Therefore, this study aimed to explore biomarkers that can predict the prognostic risk of gastric adenocarcinoma by analyzing drug metabolism‐related genes. METHODS: The RNA‐seq and clinical information on gastric adenocarcinoma were downloaded from the UCSC and gene expression omnibus databases. Univariate and least absolute shrinkage and selection operator regression analyses were used to identify the prognostic gene signature of gastric adenocarcinoma. The relationships between gastric adenocarcinoma prognostic risk and tumor microenvironment were assessed using CIBERSORT, EPIC, QUANTISEQ, MCPCounter, xCell, and TIMER algorithms. The potential drugs that could target the gene signatures were predicted in WebGestalt, and molecular docking analysis verified their binding stabilities. RESULTS: Combined with clinical information, an eight‐gene signature, including GPX3, ABCA1, NNMT, NOS3, SLCO4A1, ADH4, DHRS7, and TAP1, was identified from the drug metabolism‐related gene set. Based on their expressions, risk scores were calculated, and patients were divided into high‐ and low‐risk groups, which had significant differences in survival status and immune infiltrations. Risk group was also identified as an independent prognostic factor of gastric adenocarcinoma, and the established prognostic and nomogram models exhibited excellent capacities for predicting prognosis. Finally, miconazole and niacin were predicted as potential therapeutic drugs for gastric adenocarcinoma that bond stably with NOS3 and NNMT through hydrogen interactions. CONCLUSIONS: This study proposed a drug metabolism‐related eight‐gene signature as a potential biomarker to predict the gastric adenocarcinoma prognosis risks.
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spelling pubmed-86493722021-12-20 Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma Yin, Hong‐mei He, Qiong Chen, Jia Li, Zhen Yang, Wanli Hu, Xiaobo J Clin Lab Anal Research Articles BACKGROUND: Metabolic abnormalities in patients with gastric adenocarcinoma lead to drug resistance and poor prognosis. Therefore, this study aimed to explore biomarkers that can predict the prognostic risk of gastric adenocarcinoma by analyzing drug metabolism‐related genes. METHODS: The RNA‐seq and clinical information on gastric adenocarcinoma were downloaded from the UCSC and gene expression omnibus databases. Univariate and least absolute shrinkage and selection operator regression analyses were used to identify the prognostic gene signature of gastric adenocarcinoma. The relationships between gastric adenocarcinoma prognostic risk and tumor microenvironment were assessed using CIBERSORT, EPIC, QUANTISEQ, MCPCounter, xCell, and TIMER algorithms. The potential drugs that could target the gene signatures were predicted in WebGestalt, and molecular docking analysis verified their binding stabilities. RESULTS: Combined with clinical information, an eight‐gene signature, including GPX3, ABCA1, NNMT, NOS3, SLCO4A1, ADH4, DHRS7, and TAP1, was identified from the drug metabolism‐related gene set. Based on their expressions, risk scores were calculated, and patients were divided into high‐ and low‐risk groups, which had significant differences in survival status and immune infiltrations. Risk group was also identified as an independent prognostic factor of gastric adenocarcinoma, and the established prognostic and nomogram models exhibited excellent capacities for predicting prognosis. Finally, miconazole and niacin were predicted as potential therapeutic drugs for gastric adenocarcinoma that bond stably with NOS3 and NNMT through hydrogen interactions. CONCLUSIONS: This study proposed a drug metabolism‐related eight‐gene signature as a potential biomarker to predict the gastric adenocarcinoma prognosis risks. John Wiley and Sons Inc. 2021-11-13 /pmc/articles/PMC8649372/ /pubmed/34773716 http://dx.doi.org/10.1002/jcla.24085 Text en © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Yin, Hong‐mei
He, Qiong
Chen, Jia
Li, Zhen
Yang, Wanli
Hu, Xiaobo
Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
title Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
title_full Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
title_fullStr Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
title_full_unstemmed Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
title_short Drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
title_sort drug metabolism‐related eight‐gene signature can predict the prognosis of gastric adenocarcinoma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649372/
https://www.ncbi.nlm.nih.gov/pubmed/34773716
http://dx.doi.org/10.1002/jcla.24085
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