Identification of biomarkers and signaling pathways during the treatment of multiple myeloma

Abstract

Multiple myeloma (MM) is an incurable hematologic malignancy, which is characterized by increased bone marrow plasma cells, osteolytic lesions, and anemia. Here, our aim is to characterize significant biomarkers and signaling pathways during the treatment of MM by using bioinformatic methods. The GSE180018 dataset was generated by DNBSEQ-G400 (Homo sapiens). The KEGG and GO analyses showed the biological processes such as " Protein export”, “Protein processing in endoplasmic reticulum”, “Vibrio cholerae infection”, “Fc gamma R-mediated phagocytosis" are mainly affected in FOXM1 KO MM cells. Moreover, we identified the significant genes including CD44, NOTCH1, SELL, RAC2, HSPA8, VAV1, DDIT3, PLK1, HYOU1, ITGAL in FOXM1 KO MM cells. Therefore, our study may provide further guidance for the drug development of MM.