id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-303939-7knzjnyr	Hu, Fang	Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome	2020-04-26		.txt	text/plain	2281	171	42	title: Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome 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. Therefore, we established a prognostic panel of metabolic gene by downloading data from Gene Expression Omnibus (GEO) datasets in the training cohort, which was further validated in an independent external cohort. In total, 201 patients with complete clinical data including age, gender, WHO category, karyotype, IPSS, transfusion dependent, haemoglobin, bone marrow blasts cells, platelet count and absolute neutrophil count were included in the training and validation cohort. In summary, we constructed a novel prognostic prediction model based on metabolic genes from GEO database for MDS, and further validated in the validation cohort. Identification of a metabolic gene panel to predict the prognosis of myelodysplastic syndrome	./cache/cord-303939-7knzjnyr.txt	./txt/cord-303939-7knzjnyr.txt