Bioinformatics analysis deciphering the transcriptomic signatures associated with signalling pathways and prognosis in the myelodysplastic syndromes

Niluopaer Tuerxun, Jie Wang, Fang Zhao, Yu-ting Qin, Huan Wang, Rong Chen & Jian-ping Hao
Background: Several studies scatteredly identified the myelodysplastic syndromes’ transcriptomic profiles (MDS). However, the exploration of transcriptional signatures, key signalling pathways, and their association with prognosis and diagnosis in the integrated multiple datasets remains lacking. Methods: We integrated the GSE4619, GSE19429, GSE30195, and GSE58831 microarray datasets of CD34 + cells for identifying the differentially expressed genes (DEGs) in the MDS. The series of bioinformatics methods are applied to identify the key hub genes, gene clusters, prognostic...
1 citation reported since publication in 2022.
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