Cargando…

TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia

Acute myeloid leukemia (AML) is classified into favorable-risk, intermediate-risk, and poor-risk subtypes. This study aimed to compare the serum proteomic signatures of the three AML subtypes and identify prognostic biomarkers for AML. Serum samples from patients with favorable-risk (n = 14), interm...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Wei, Liu, Bei, Wu, Shiwen, Zhao, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066874/
https://www.ncbi.nlm.nih.gov/pubmed/37016705
http://dx.doi.org/10.1515/med-2022-0602
_version_ 1785018343234732032
author Zhang, Wei
Liu, Bei
Wu, Shiwen
Zhao, Li
author_facet Zhang, Wei
Liu, Bei
Wu, Shiwen
Zhao, Li
author_sort Zhang, Wei
collection PubMed
description Acute myeloid leukemia (AML) is classified into favorable-risk, intermediate-risk, and poor-risk subtypes. This study aimed to compare the serum proteomic signatures of the three AML subtypes and identify prognostic biomarkers for AML. Serum samples from patients with favorable-risk (n = 14), intermediate-risk (n = 19), and poor-risk AMLs (n = 18) were used for the analysis of tandem mass tag (TMT) labeling-based quantitative proteomics. Comparative analysis was performed to identify differentially expressed proteins (DEPs) between groups. Prognostic proteins were screened using binary logistics regression analysis. TMT-MS/MS proteomics analysis identified 138 DEPs. Fumarate hydratase (FH), isocitrate dehydrogenase 2 (IDH2), and enolase 1 (ENO1) were significantly upregulated in poor-risk patients compared with favorable-risk patients. ELISA assay confirmed that patients with poor-risk AMLs had higher levels of IDH2, ENO1, and FH compared with intermediate-risk AML patients. Logistics analysis identified that proteins 3-hydroxyacyl-CoA dehydrogenase type-2 (HADH, odds ratio (OR) = 1.035, p = 0.010), glutamine synthetase (GLUL, OR = 1.022, p = 0.039), and lactotransferrin (LTF, OR = 1.1224, p = 0.016) were associated with poor prognosis, and proteins ENO1 (OR = 1.154, p = 0.053), FH (OR = 1.043, p = 0.059), and IDH2 (OR = 3.350, p = 0.055) were associated with AML prognosis. This study showed that AML patients had elevated levels of FH, IDH2, ENO1, LTF, and GLUL proteins and might be at high risk of poor prognosis.
format Online
Article
Text
id pubmed-10066874
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher De Gruyter
record_format MEDLINE/PubMed
spelling pubmed-100668742023-04-03 TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia Zhang, Wei Liu, Bei Wu, Shiwen Zhao, Li Open Med (Wars) Research Article Acute myeloid leukemia (AML) is classified into favorable-risk, intermediate-risk, and poor-risk subtypes. This study aimed to compare the serum proteomic signatures of the three AML subtypes and identify prognostic biomarkers for AML. Serum samples from patients with favorable-risk (n = 14), intermediate-risk (n = 19), and poor-risk AMLs (n = 18) were used for the analysis of tandem mass tag (TMT) labeling-based quantitative proteomics. Comparative analysis was performed to identify differentially expressed proteins (DEPs) between groups. Prognostic proteins were screened using binary logistics regression analysis. TMT-MS/MS proteomics analysis identified 138 DEPs. Fumarate hydratase (FH), isocitrate dehydrogenase 2 (IDH2), and enolase 1 (ENO1) were significantly upregulated in poor-risk patients compared with favorable-risk patients. ELISA assay confirmed that patients with poor-risk AMLs had higher levels of IDH2, ENO1, and FH compared with intermediate-risk AML patients. Logistics analysis identified that proteins 3-hydroxyacyl-CoA dehydrogenase type-2 (HADH, odds ratio (OR) = 1.035, p = 0.010), glutamine synthetase (GLUL, OR = 1.022, p = 0.039), and lactotransferrin (LTF, OR = 1.1224, p = 0.016) were associated with poor prognosis, and proteins ENO1 (OR = 1.154, p = 0.053), FH (OR = 1.043, p = 0.059), and IDH2 (OR = 3.350, p = 0.055) were associated with AML prognosis. This study showed that AML patients had elevated levels of FH, IDH2, ENO1, LTF, and GLUL proteins and might be at high risk of poor prognosis. De Gruyter 2023-03-30 /pmc/articles/PMC10066874/ /pubmed/37016705 http://dx.doi.org/10.1515/med-2022-0602 Text en © 2023 the author(s), published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Research Article
Zhang, Wei
Liu, Bei
Wu, Shiwen
Zhao, Li
TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
title TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
title_full TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
title_fullStr TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
title_full_unstemmed TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
title_short TMT-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
title_sort tmt-based comprehensive proteomic profiling identifies serum prognostic signatures of acute myeloid leukemia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066874/
https://www.ncbi.nlm.nih.gov/pubmed/37016705
http://dx.doi.org/10.1515/med-2022-0602
work_keys_str_mv AT zhangwei tmtbasedcomprehensiveproteomicprofilingidentifiesserumprognosticsignaturesofacutemyeloidleukemia
AT liubei tmtbasedcomprehensiveproteomicprofilingidentifiesserumprognosticsignaturesofacutemyeloidleukemia
AT wushiwen tmtbasedcomprehensiveproteomicprofilingidentifiesserumprognosticsignaturesofacutemyeloidleukemia
AT zhaoli tmtbasedcomprehensiveproteomicprofilingidentifiesserumprognosticsignaturesofacutemyeloidleukemia