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Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes
BACKGROUND: Acute myeloid leukemia (AML), a common form of acute leukemia, is due to tumor changes and clonal proliferation caused by genetic variants. Cuproptosis is a novel form of regulated cell death. This study aimed to explore the role of cuproptosis-related genes (CRGs) in AML. METHODS: Initi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493802/ https://www.ncbi.nlm.nih.gov/pubmed/37701119 http://dx.doi.org/10.21037/tcr-23-85 |
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author | Li, Xinyue Xu, Lianrong |
author_facet | Li, Xinyue Xu, Lianrong |
author_sort | Li, Xinyue |
collection | PubMed |
description | BACKGROUND: Acute myeloid leukemia (AML), a common form of acute leukemia, is due to tumor changes and clonal proliferation caused by genetic variants. Cuproptosis is a novel form of regulated cell death. This study aimed to explore the role of cuproptosis-related genes (CRGs) in AML. METHODS: Initially, differentially expressed genes (DEGs) between AML samples and normal samples were obtained by differential analysis, which were further intersected with the cuproptosis score-related genes (CSRGs) acquired by weighted gene co-expression network analysis (WGCNA) to obtain cuproptosis score-related differentially expressed genes (CS-DEGs). Then, a risk model was constructed by Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis. Finally, immune infiltration analysis was performed and the functions and pathways of model genes were explored by single sample gene set enrichment analysis (ssGSEA). RESULTS: Thirty-two CS-DEGs were obtained by overlapping 11,160 DEGs and 132 CSRGs. These 32 CS-DEGs were mainly enriched to cytoplasmic microtubule organization, RNA methylation, mTOR signaling pathway, and notch signaling pathway. Two model genes, PACS2 and NDUFV1, were finally screened for the construction of the risk model. In addition, PACS2 and NDUFV1 were significantly positively correlated with activated B cells, CD56dim natural killer (NK) cells, and negatively correlated with effector memory CD4 T cells and activated CD4 T cells. PACS2 gene was significantly enriched to inositol phosphate metabolism, histone modification, etc. NDUFV1 was mainly enriched to ncRNA metabolic process, 2-oxocarboxylic acid metabolism, and other pathways. CONCLUSIONS: A cuproptosis-related risk model consisting of PACS2 and NDUFV1 was built, which provided a new direction for the diagnosis and treatment of AML. |
format | Online Article Text |
id | pubmed-10493802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-104938022023-09-12 Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes Li, Xinyue Xu, Lianrong Transl Cancer Res Original Article BACKGROUND: Acute myeloid leukemia (AML), a common form of acute leukemia, is due to tumor changes and clonal proliferation caused by genetic variants. Cuproptosis is a novel form of regulated cell death. This study aimed to explore the role of cuproptosis-related genes (CRGs) in AML. METHODS: Initially, differentially expressed genes (DEGs) between AML samples and normal samples were obtained by differential analysis, which were further intersected with the cuproptosis score-related genes (CSRGs) acquired by weighted gene co-expression network analysis (WGCNA) to obtain cuproptosis score-related differentially expressed genes (CS-DEGs). Then, a risk model was constructed by Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis. Finally, immune infiltration analysis was performed and the functions and pathways of model genes were explored by single sample gene set enrichment analysis (ssGSEA). RESULTS: Thirty-two CS-DEGs were obtained by overlapping 11,160 DEGs and 132 CSRGs. These 32 CS-DEGs were mainly enriched to cytoplasmic microtubule organization, RNA methylation, mTOR signaling pathway, and notch signaling pathway. Two model genes, PACS2 and NDUFV1, were finally screened for the construction of the risk model. In addition, PACS2 and NDUFV1 were significantly positively correlated with activated B cells, CD56dim natural killer (NK) cells, and negatively correlated with effector memory CD4 T cells and activated CD4 T cells. PACS2 gene was significantly enriched to inositol phosphate metabolism, histone modification, etc. NDUFV1 was mainly enriched to ncRNA metabolic process, 2-oxocarboxylic acid metabolism, and other pathways. CONCLUSIONS: A cuproptosis-related risk model consisting of PACS2 and NDUFV1 was built, which provided a new direction for the diagnosis and treatment of AML. AME Publishing Company 2023-08-28 2023-08-31 /pmc/articles/PMC10493802/ /pubmed/37701119 http://dx.doi.org/10.21037/tcr-23-85 Text en 2023 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Li, Xinyue Xu, Lianrong Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
title | Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
title_full | Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
title_fullStr | Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
title_full_unstemmed | Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
title_short | Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
title_sort | exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493802/ https://www.ncbi.nlm.nih.gov/pubmed/37701119 http://dx.doi.org/10.21037/tcr-23-85 |
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