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Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
oleh: Yue Gao, Yinnong Jia, Zhengmin Yu, Xinyu Ji, Xiaowen Liu, Lei Han, Hengdong Zhang, Baoli Zhu, Ming Xu
Format: | Article |
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Diterbitkan: | BMC 2023-02-01 |
Deskripsi
Abstract Background Acute myeloid leukemia (AML) is a common and lethal hematological malignant hyperplastic disease originating from hematopoietic stem cells. The purpose of this study is to obtain the key differentially expressed gene (DEG) related to the survival of AML by The Cancer Genome Atlas (TCGA) database and to verify these genes by a clinical follow-up investigation, in order to identify valuable predictive and prognostic biomarkers for early diagnosis of AML and predict the survival rates. Methods The RNA sequencing (RNA-Seq) data and clinical information of TCGA-LAML were downloaded from the TCGA database. After that we (1) screened the survival-related DEGs by Cox regression analysis, (2) selected the cytogenetics risk-related DEGs by DESeq2 R package, and (3) filtrated the genes in the top10 pathways of up-regulated and down-regulated of Normalization Enrichment Score (NES) by Gene Set Enrichment Analysis (GSEA). Finally, we focused the intersectional genes of above three parts as the key gene of the present study. The following Multivariate.