ArticleJournal of cellular and molecular medicine2020
Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome.
Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Impaired DNA damage responses and inflammatory signaling underpin hematopoietic stem cell defects in Gata2 haploinsufficiency.Stem cell reports · 2025Article
- Development and validation of a novel prognosis prediction model for patients with myelodysplastic syndrome.Frontiers in oncology · 2022Article
- Myelodysplastic Syndromes and Metabolism.International journal of molecular sciences · 2021Review
- Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome.Journal of cellular and molecular medicine · 2020Article
- Autophagy Gene Panel-Based Prognostic Model in Myelodysplastic Syndrome.Frontiers in oncology · 2020Article
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Authors and funding
10 authors.
Funding
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Abstract
Myelodysplastic syndrome (MDS) is clonal disease featured by ineffective haematopoiesis and potential progression into acute myeloid leukaemia (AML). At present, the risk stratification and prognosis of MDS need to be further optimized. A prognostic model was constructed by the least absolute shrinkage and selection operator (LASSO) regression analysis for MDS patients based on the identified metabolic gene panel in training cohort, followed by external validation in an independent cohort. The patients with lower risk had better prognosis than patients with higher risk. The constructed model was verified as an independent prognostic factor for MDS patients with hazard ratios of 3.721 (1.814-7.630) and 2.047 (1.013-4.138) in the training cohort and validation cohort, respectively. The AUC of 3-year overall survival was 0.846 and 0.743 in the training cohort and validation cohort, respectively. The high-risk score was significantly related to other clinical prognostic characteristics, including higher bone marrow blast cells and lower absolute neutrophil count. Moreover, gene set enrichment analyses (GSEA) showed several significantly enriched pathways, with potential indication of the pathogenesis. In this study, we identified a novel stable metabolic panel, which might not only reveal the dysregulated metabolic microenvironment, but can be used to predict the prognosis of MDS.
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