| Title |
Bioinformatics analyses of differentially expressed genes associated with bisphosphonate-related osteonecrosis of the jaw in patients with multiple myeloma
|
|---|---|
| Published in |
OncoTargets and therapy, September 2015
|
| DOI | 10.2147/ott.s88463 |
| Pubmed ID | |
| Authors |
Jingnan Sun, Xue Wen, Fengyan Jin, Yuying Li, Jifan Hu, Yunpeng Sun |
| Abstract |
This study aimed to explore the molecular mechanisms associated with bisphosphonate (BP)-related osteonecrosis of the jaw (ONJ) in patients with multiple myeloma (MM). The gene expression profile GSE7116 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) from eleven patients with ONJ resulting from MM treated with BPs (ONJBPs) and ten MM patients without ONJ treated with BPs (MMBPs) were analyzed. Gene ontology (GO) and pathway enrichment analyses of DEGs were performed, followed by functional annotation and protein-protein interaction network construction. Finally, sub-network modules were constructed and analyzed. A total of 166 up- and 473 down-regulated DEGs were identified. The up-regulated DEGs were enriched in pathways related to cancer, and the down-regulated DEGs were enriched in pathways related to the immune system. Moreover, the GO terms enriched by the up-regulated DEGs were associated with misfolded proteins, and the down-regulated DEGs were associated with immune responses. After functional annotation, 16 transcription factors were identified, including X-box binding protein 1 (XBP1). In protein-protein interaction network analysis, tumor necrosis factor (TNF) and interleukin 1, beta (IL1B) had higher connectivity degrees. Among the constructed sub-network modules, module 1 was the best one, and DEAD (Asp-Glu-Ala-Asp) box helicase 5 (DDX5) was a hub gene. The DEGs in module 1 were mainly enriched in GO terms related to RNA splicing. DEGs of ONJ were mainly enriched in pathways related to the immune system and RNA splicing. DEGs such as TNF, ILB1, DDX5, and XBP1 may be the potential targets of ONJ treatment. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 20% |
| Student > Postgraduate | 4 | 16% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 44% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Agricultural and Biological Sciences | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2015.
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#15,738,224
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Outputs from OncoTargets and therapy
#836
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Outputs of similar age
#142,281
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Outputs of similar age from OncoTargets and therapy
#23
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