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ABSTRACT: Background
Multiple myeloma (MM) remains an incurable malignant tumor of plasma cells. Increasing evidence has reported that hypoxia and immune status contribute to the progression of MM. In this research, the prognostic value of the hypoxia-immune-related gene SLC19A1 in MM was evaluated by bioinformatics analysis.Method
RNA-sequencing (RNA-seq) data along with clinical information on MM were downloaded from the Gene Expression Omnibus (GEO) database. Consistent clustering analysis and ESTIMATE algorithms were performed to establish the MM sample subgroups related to hypoxia and immune status, respectively, based on the GSE24080 dataset. The differentially expressed analysis was performed to identify the hypoxia-immune-related genes. Subsequently, a hypoxia-immune-gene ris
SUBMITTER: Li W
PROVIDER: S-EPMC9358019 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature