Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome

Abstract Deregulated cellular energetics is formally incorporated as an emerging hallmark of cancer, however little is known about its processes in myelodysplastic syndromes (MDS). Using transcriptomic data of CD34+ cells from 159 MDS patients and 17 healthy donors, we selected 37 genes involved in...

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Autores principales: Juan L. Coelho-Silva, Douglas R. A. Silveira, Diego A. Pereira-Martins, Cesar A. O. Rojas, Antonio R. Lucena-Araujo, Eduardo M. Rego, João A. Machado-Neto, Israel Bendit, Vanderson Rocha, Fabiola Traina
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8ba9e4b1885747c1968531cbed9acd10
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spelling oai:doaj.org-article:8ba9e4b1885747c1968531cbed9acd102021-12-02T15:23:39ZMolecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome10.1038/s41598-020-80918-62045-2322https://doaj.org/article/8ba9e4b1885747c1968531cbed9acd102021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80918-6https://doaj.org/toc/2045-2322Abstract Deregulated cellular energetics is formally incorporated as an emerging hallmark of cancer, however little is known about its processes in myelodysplastic syndromes (MDS). Using transcriptomic data of CD34+ cells from 159 MDS patients and 17 healthy donors, we selected 37 genes involved in cellular energetics and interrogated about its clinical and prognostic functions. Based on the low expression of ACLY, ANPEP, and PANK1, as well as high expression of PKM and SLC25A5, we constructed our Molecular-Based Score (MBS), that efficiently discriminated patients at three risks groups: favourable risk (n = 28; 3-year overall survival (OS): 100%); intermediate (n = 60; 76% [62–93%]) and adverse (n = 71; 35% [17–61%]). Adverse MBS risk was independently associated with inferior OS (HR = 10.1 [95% CI 1.26–81]; P = 0.029) in multivariable analysis using age, gender and the revised international prognostic score system as confounders. Transcriptional signature revealed that Favourable- and intermediate-risk patients presented enriched molecular programs related to mature myeloid progenitors, cell cycle progression, and oxidative phosphorylation, indicating that this cells differs in their origin, metabolic state, and cell cycle regulation, in comparison to the adverse-risk. Our study provides the first evidence that cellular energetics is transcriptionally deregulated in MDS CD34+ cells and establishes a new useful prognostic score based on the expression of five genes.Juan L. Coelho-SilvaDouglas R. A. SilveiraDiego A. Pereira-MartinsCesar A. O. RojasAntonio R. Lucena-AraujoEduardo M. RegoJoão A. Machado-NetoIsrael BenditVanderson RochaFabiola TrainaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Juan L. Coelho-Silva
Douglas R. A. Silveira
Diego A. Pereira-Martins
Cesar A. O. Rojas
Antonio R. Lucena-Araujo
Eduardo M. Rego
João A. Machado-Neto
Israel Bendit
Vanderson Rocha
Fabiola Traina
Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
description Abstract Deregulated cellular energetics is formally incorporated as an emerging hallmark of cancer, however little is known about its processes in myelodysplastic syndromes (MDS). Using transcriptomic data of CD34+ cells from 159 MDS patients and 17 healthy donors, we selected 37 genes involved in cellular energetics and interrogated about its clinical and prognostic functions. Based on the low expression of ACLY, ANPEP, and PANK1, as well as high expression of PKM and SLC25A5, we constructed our Molecular-Based Score (MBS), that efficiently discriminated patients at three risks groups: favourable risk (n = 28; 3-year overall survival (OS): 100%); intermediate (n = 60; 76% [62–93%]) and adverse (n = 71; 35% [17–61%]). Adverse MBS risk was independently associated with inferior OS (HR = 10.1 [95% CI 1.26–81]; P = 0.029) in multivariable analysis using age, gender and the revised international prognostic score system as confounders. Transcriptional signature revealed that Favourable- and intermediate-risk patients presented enriched molecular programs related to mature myeloid progenitors, cell cycle progression, and oxidative phosphorylation, indicating that this cells differs in their origin, metabolic state, and cell cycle regulation, in comparison to the adverse-risk. Our study provides the first evidence that cellular energetics is transcriptionally deregulated in MDS CD34+ cells and establishes a new useful prognostic score based on the expression of five genes.
format article
author Juan L. Coelho-Silva
Douglas R. A. Silveira
Diego A. Pereira-Martins
Cesar A. O. Rojas
Antonio R. Lucena-Araujo
Eduardo M. Rego
João A. Machado-Neto
Israel Bendit
Vanderson Rocha
Fabiola Traina
author_facet Juan L. Coelho-Silva
Douglas R. A. Silveira
Diego A. Pereira-Martins
Cesar A. O. Rojas
Antonio R. Lucena-Araujo
Eduardo M. Rego
João A. Machado-Neto
Israel Bendit
Vanderson Rocha
Fabiola Traina
author_sort Juan L. Coelho-Silva
title Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
title_short Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
title_full Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
title_fullStr Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
title_full_unstemmed Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
title_sort molecular-based score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8ba9e4b1885747c1968531cbed9acd10
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