About: Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome

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About: Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome
Creator	Li, Huan Wang, Yun Hu, Fang Liang, Yang Chen, Si-Liang Dai, Yu-Jun Huang, Han-Ying Li, Jin-Yuan Shu, Ling-Ling Zhe-Yuan Qin, \|
Source	Medline; PMC
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.
has issue date	2020-04-26(xsd:dateTime)
bibo:doi	10.1111/jcmm.15283
bibo:pmid	32337851
has license	cc-by
sha1sum (hex)	a61cb00d1a3c3ea0c11478e6b0ec41e49a76169f
schema:url	https://doi.org/10.1111/jcmm.15283
resource representing a document's title	Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome
has PubMed Central identifier	PMC7294120
has PubMed identifier	32337851
schema:publication	J Cell Mol Med
resource representing a document's body	covid:a61cb00d1a3c3ea0c11478e6b0ec41e49a76169f#body_text
is schema:about of	named entity 'diseases' named entity 'dysplastic' named entity 'AML' named entity 'heterogeneous' named entity 'metabolic' named entity 'regression analysis' named entity 'microenvironment' named entity 'shrinkage' named entity 'validation' named entity 'excessive' named entity 'panel' named entity 'SET' named entity 'MODEL' named entity 'RISK' named entity 'VERIFIED' named entity 'ELDERLY' named entity 'IDENTIFIED' covid:arg/a61cb00d1a3c3ea0c11478e6b0ec41e49a76169f named entity 'higher' named entity 'study' named entity 'prognostic factor' named entity 'elderly' named entity 'model' named entity 'absolute' named entity 'gene set enrichment' named entity 'mutations' named entity 'enriched' named entity 'myelodysplastic syndrome' named entity 'disease' named entity 'model' named entity 'potential' named entity 'cohort' named entity 'pathogenesis' named entity 'MDS' named entity 'dysplastic' named entity 'blast cells' named entity 'bone marrow' named entity 'clonal' named entity 'MDS' named entity 'MDS' named entity 'MDS' named entity 'MDS' named entity 'haematopoietic stem cells' named entity 'acute myeloid leukaemia' named entity 'regression analysis' named entity 'microenvironment' named entity 'haematopoietic' named entity 'apoptosis' named entity 'high-risk' named entity 'cytopenia' named entity 'AML' named entity 'prognostic factor' named entity 'enrichment analyses' named entity 'metabolic' named entity 'gene' named entity 'P-value' named entity 'methionine metabolism' named entity 'Cox regression' named entity 'cross-validation' named entity 'cell cycle' named entity 'transfusion' named entity 'MTR' named entity 'GEO' named entity 'energy metabolism' named entity 'GEO' named entity 'MDS' named entity 'gold standards' named entity 'Leukaemia' named entity 'maximum likelihood estimator' named entity 'Fisher's exact test' named entity 'ROC' named entity 'cell proliferation'

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