Unknown

Dataset Information

0

HLA-DPA1 gene is a potential predictor with prognostic values in multiple myeloma.


ABSTRACT: BACKGROUND:Multiple myeloma (MM) is an incurable hematological tumor, which is closely related to hypoxic bone marrow microenvironment. However, the underlying mechanisms are still far from fully understood. We took integrated bioinformatics analysis with expression profile GSE110113 downloaded from National Center for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database, and screened out major histocompatibility complex, class II, DP alpha 1 (HLA-DPA1) as a hub gene related to hypoxia in MM. METHODS:Differentially expressed genes (DEGs) were filtrated with R package "limma". Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were performed using "clusterProfiler" package in R. Then, protein-protein interaction (PPI) network was established. Hub genes were screened out according to Maximal Clique Centrality (MCC). PrognoScan evaluated all the significant hub genes for survival analysis. ScanGEO was used for visualization of gene expression in different clinical studies. P and Cox p value

SUBMITTER: Yang J 

PROVIDER: S-EPMC7513295 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

HLA-DPA1 gene is a potential predictor with prognostic values in multiple myeloma.

Yang Jie J   Wang Fei F   Chen Baoan B  

BMC cancer 20200924 1


<h4>Background</h4>Multiple myeloma (MM) is an incurable hematological tumor, which is closely related to hypoxic bone marrow microenvironment. However, the underlying mechanisms are still far from fully understood. We took integrated bioinformatics analysis with expression profile GSE110113 downloaded from National Center for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database, and screened out major histocompatibility complex, class II, DP alpha 1 (HLA-DPA1) as a hub gene rel  ...[more]

Similar Datasets

| S-EPMC8541503 | biostudies-literature
| S-EPMC10115423 | biostudies-literature
| S-EPMC8039029 | biostudies-literature
| S-EPMC8502919 | biostudies-literature
| S-EPMC9139015 | biostudies-literature
| S-EPMC8219970 | biostudies-literature
| S-EPMC7004993 | biostudies-literature
| S-EPMC6978238 | biostudies-literature
| S-EPMC10473463 | biostudies-literature
| S-EPMC8036885 | biostudies-literature