ArticleInternational journal of hematology2017
Identification of key genes and construction of microRNA-mRNA regulatory networks in multiple myeloma by integrated multiple GEO datasets using bioinformatics analysis.
Article in International journal of hematology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Genome-wide identification of potential biomarkers in multiple myeloma using meta-analysis of mRNA and miRNA expression data.Scientific reports · 2021Pooled it
- Long non‑coding RNA HOTTIP promotes hepatocellular carcinoma tumorigenesis and development: A comprehensive investigation based on bioinformatics, qRT‑PCR and meta‑analysis of 393 cases.International journal of oncology · 2017Pooled it
- Comprehensive Bioinformatic Analysis Reveals Survival-Associated Hub Genes and MicroRNAs in Multiple Myeloma Patients.Iranian journal of biotechnology · 2025Article
- Identification of biomarkers in multiple myeloma: A comprehensive study combining microarray analysis and Mendelian randomization.Journal of cellular and molecular medicine · 2024Article
- Interpreting the molecular mechanisms of RBBP4/7 and their roles in human diseases (Review).International journal of molecular medicine · 2024Review
- Structural basis for the SUMO protease activity of the atypical ubiquitin-specific protease USPL1.Nature communications · 2022Article
- Identification of G2 and S Phase-Expressed-1 as a Potential Biomarker in Patients with Prostate Cancer.Cancer management and research · 2020Article
- Identification of cancer/testis antigen 2 gene as a potential hepatocellular carcinoma therapeutic target by hub gene screening with topological analysis.Oncology letters · 2019Article
- Comprehensive analysis of key genes and microRNAs in radioresistant nasopharyngeal carcinoma.BMC medical genomics · 2019Article
- Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical AnalysisAsian Pacific journal of cancer prevention : APJCP · 2018Article
- Comprehensive analysis of long non-coding RNA PVT1 gene interaction regulatory network in hepatocellular carcinoma using gene microarray and bioinformatics.American journal of translational research · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple myeloma (MM) is a common hematological malignancy. To identify key genes and microRNAs in MM, we downloaded two gene expression profiles (GSE16558 and GSE47552) and two microRNA expression profiles (GSE17498 and GSE16558) from the Gene Expression Omnibus (GEO) database. A total of 596 differentially expressed genes (DEGs) and 39 differentially expressed microRNAs (DEMs) were screened out. Pathway analysis showed that upregulated genes were mainly enriched in the "B cell receptor signaling pathway", "Cell cycle" and "NF-kappa B signaling pathway", whereas downregulated genes were mainly enriched in the "Ribosome", "FoxO signaling pathway" and "p53 signaling pathway". We subsequently constructed a protein-protein interaction network of DEGs consisting of 277 genes and 563 interactions. In addition, 32 genes with high degrees in the network were identified as hub genes in MM, e.g. HDAC2, RBBP4, CREB1, and RB1. Additionally, we constructed a microRNA-mRNA regulatory network depicting interactions between DEMs and their targets, including the miR-135b-GADD45A and miR-148a-USPL1 pairs. In conclusion, the results of this data mining and integration help reveal the molecular basis of MM pathogenesis as well as potential biomarkers and therapeutic targets for MM diagnosis and treatment.
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