Exploring the key genes and pathways in enchondromas using a gene expression microarray Article Swipe
Zhongju Shi
,
Hengxing Zhou
,
Bin Pan
,
Lu Lu
,
Yi Kang
,
Lu Liu
,
Zhijian Wei
,
Shiqing Feng
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.18632/oncotarget.16700
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.18632/oncotarget.16700
Enchondromas are the most common primary benign osseous neoplasms that occur in the medullary bone; they can undergo malignant transformation into chondrosarcoma. However, enchondromas are always undetected in patients, and the molecular mechanism is unclear. To identify key genes and pathways associated with the occurrence and development of enchondromas, we downloaded the gene expression dataset GSE22855 and obtained the differentially expressed genes (DEGs) by analyzing high-throughput gene expression in enchondromas. In total, 635 genes were identified as DEGs. Of these, 225 genes (35.43%) were up-regulated, and the remaining 410 genes (64.57%) were down-regulated. We identified the predominant gene ontology (GO) categories and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that were significantly over-represented in the enchondromas samples compared with the control samples. Subsequently the top 10 core genes were identified from the protein-protein interaction (PPI) network. The enrichment analyses of the genes mainly involved in two significant modules showed that the DEGs were principally related to ribosomes, protein digestion and absorption, ECM-receptor interaction, focal adhesion, amoebiasis and the PI3K-Akt signaling pathway.Together, these data elucidate the molecular mechanisms underlying the occurrence and development of enchondromas and provide promising candidates for therapeutic intervention and prognostic evaluation. However, further experimental studies are needed to confirm these results.
Related Topics
Concepts
Gene
Gene expression
Microarray
Gene expression profiling
Microarray analysis techniques
Computational biology
DNA microarray
Regulation of gene expression
Biological pathway
Biology
Bioinformatics
Genetics
Medicine
Cancer research
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18632/oncotarget.16700
- http://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=16700&path%5B%5D=53406
- OA Status
- diamond
- Cited By
- 10
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2603171588
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2603171588Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18632/oncotarget.16700Digital Object Identifier
- Title
-
Exploring the key genes and pathways in enchondromas using a gene expression microarrayWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-03-30Full publication date if available
- Authors
-
Zhongju Shi, Hengxing Zhou, Bin Pan, Lu Lu, Yi Kang, Lu Liu, Zhijian Wei, Shiqing FengList of authors in order
- Landing page
-
https://doi.org/10.18632/oncotarget.16700Publisher landing page
- PDF URL
-
https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=16700&path%5B%5D=53406Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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-
https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=16700&path%5B%5D=53406Direct OA link when available
- Concepts
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Gene, Gene expression, Microarray, Gene expression profiling, Microarray analysis techniques, Computational biology, DNA microarray, Regulation of gene expression, Biological pathway, Biology, Bioinformatics, Genetics, Medicine, Cancer researchTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2020: 2, 2019: 2, 2018: 2Per-year citation counts (last 5 years)
- References (count)
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64Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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