Identification of key biomarkers associated with cell adhesion in multiple myeloma by integrated bioinformatics analysis.
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ABSTRACT:
SUBMITTER: Peng Y
PROVIDER: S-EPMC7309988 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Identification of key biomarkers associated with cell adhesion in multiple myeloma by integrated bioinformatics analysis.
Peng Yue Y Wu Dong D Li Fangmei F Zhang Peihua P Feng Yuandong Y He Aili A
Cancer cell international 20200622
<h4>Background</h4>Multiple Myeloma (MM) is a hematologic malignant disease whose underlying molecular mechanism has not yet fully understood. Generally, cell adhesion plays an important role in MM progression. In our work, we intended to identify key genes involved in cell adhesion in MM.<h4>Methods</h4>First, we identified differentially expressed genes (DEGs) from the mRNA expression profiles of GSE6477 dataset using GEO2R with cut-off criterion of p < 0.05 and [logFC] ≥ 1. Then, GO and KEGG ...[more]
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