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Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia

BACKGROUND: Amino acid (AA) metabolism plays a crucial role in cancer. However, its role in acute myeloid leukemia (AML) is still unavailable. We screened out AA metabolic genes, which related to prognosis, and analyzed their correlation with tumor immune microenvironment in AML. METHODS: We evaluat...

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Autores principales: Zhou, Hui, Wang, Fengjuan, Niu, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815546/
https://www.ncbi.nlm.nih.gov/pubmed/36618700
http://dx.doi.org/10.3389/fnut.2022.1056648
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author Zhou, Hui
Wang, Fengjuan
Niu, Ting
author_facet Zhou, Hui
Wang, Fengjuan
Niu, Ting
author_sort Zhou, Hui
collection PubMed
description BACKGROUND: Amino acid (AA) metabolism plays a crucial role in cancer. However, its role in acute myeloid leukemia (AML) is still unavailable. We screened out AA metabolic genes, which related to prognosis, and analyzed their correlation with tumor immune microenvironment in AML. METHODS: We evaluated 472 amino acid metabolism-related genes in 132 AML patients. The predictive risk model was developed according to differentially expressed genes, univariate Cox and LASSO analyses. We validated the risk signature by survival analysis and independence tests. Single-sample gene set enrichment analysis (ssGSEA), tumor immune microenvironment (TME), tumor mutation burden (TMB), functional enrichment, and the IC50 of drugs were assessed to explore the correlations among the risk model, immunity, and drug sensitivity of AML. RESULTS: Six amino acid metabolism-related genes were confirmed to develop the risk model, including TRH, HNMT, TFEB, SDSL, SLC43A2, and SFXN3. The high-risk subgroup had an immune “hot” phenotype and was related to a poor prognosis. The high-risk group was also associated with more activity of immune cells, such as Tregs, had higher expression of some immune checkpoints, including PD1 and CTLA4, and might be more susceptible to immunotherapy. Xenobiotic metabolism, the reactive oxygen species (ROS) pathway, fatty acid metabolism, JAK/STAT3, and the inflammatory response were active in the high-risk subgroup. Furthermore, the high-risk subgroup was sensitive to sorafenib, selumetinib, and entospletinib. ssGSEA discovered that the processes of glutamine, arginine, tryptophan, cysteine, histidine, L-serine, isoleucine, threonine, tyrosine, and L-phenylalanine metabolism were more active in the high-risk subgroup. CONCLUSION: This study revealed that AA metabolism-related genes were correlated with the immune microenvironment of AML patients and could predict the prognosis and immunotherapy response of AML patients.
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spelling pubmed-98155462023-01-06 Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia Zhou, Hui Wang, Fengjuan Niu, Ting Front Nutr Nutrition BACKGROUND: Amino acid (AA) metabolism plays a crucial role in cancer. However, its role in acute myeloid leukemia (AML) is still unavailable. We screened out AA metabolic genes, which related to prognosis, and analyzed their correlation with tumor immune microenvironment in AML. METHODS: We evaluated 472 amino acid metabolism-related genes in 132 AML patients. The predictive risk model was developed according to differentially expressed genes, univariate Cox and LASSO analyses. We validated the risk signature by survival analysis and independence tests. Single-sample gene set enrichment analysis (ssGSEA), tumor immune microenvironment (TME), tumor mutation burden (TMB), functional enrichment, and the IC50 of drugs were assessed to explore the correlations among the risk model, immunity, and drug sensitivity of AML. RESULTS: Six amino acid metabolism-related genes were confirmed to develop the risk model, including TRH, HNMT, TFEB, SDSL, SLC43A2, and SFXN3. The high-risk subgroup had an immune “hot” phenotype and was related to a poor prognosis. The high-risk group was also associated with more activity of immune cells, such as Tregs, had higher expression of some immune checkpoints, including PD1 and CTLA4, and might be more susceptible to immunotherapy. Xenobiotic metabolism, the reactive oxygen species (ROS) pathway, fatty acid metabolism, JAK/STAT3, and the inflammatory response were active in the high-risk subgroup. Furthermore, the high-risk subgroup was sensitive to sorafenib, selumetinib, and entospletinib. ssGSEA discovered that the processes of glutamine, arginine, tryptophan, cysteine, histidine, L-serine, isoleucine, threonine, tyrosine, and L-phenylalanine metabolism were more active in the high-risk subgroup. CONCLUSION: This study revealed that AA metabolism-related genes were correlated with the immune microenvironment of AML patients and could predict the prognosis and immunotherapy response of AML patients. Frontiers Media S.A. 2022-12-22 /pmc/articles/PMC9815546/ /pubmed/36618700 http://dx.doi.org/10.3389/fnut.2022.1056648 Text en Copyright © 2022 Zhou, Wang and Niu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Zhou, Hui
Wang, Fengjuan
Niu, Ting
Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
title Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
title_full Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
title_fullStr Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
title_full_unstemmed Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
title_short Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
title_sort prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815546/
https://www.ncbi.nlm.nih.gov/pubmed/36618700
http://dx.doi.org/10.3389/fnut.2022.1056648
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