| Name | COX10 divergent transcript |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRecent studies have revealed that the long non-coding RNA COX10-AS1 (also referred to as COX10-DT) plays an oncogenic role in non-small cell lung cancer (NSCLC) by functioning as a competing endogenous RNA (ceRNA). In this context, downregulation of COX10-AS1 restores the inhibitory effect of miR-142-5p on its target PAICS—a glycolysis-related gene—resulting in increased apoptosis and a reduction in glycolytic activity. This ceRNA network, represented by the COX10-AS1/miR-142-5p/PAICS axis, suggests that COX10-AS1 supports NSCLC cell survival and proliferation by modulating cellular metabolic pathways."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n \nIn glioma, COX10-AS1 is significantly overexpressed in tumor tissues and cell lines, and its elevated expression correlates with a poor prognosis. Functional assays indicate that depletion of COX10-AS1 curbs proliferation, migration, and invasion in glioblastoma cells. Mechanistically, COX10-AS1 acts by sponging miR-1-3p, which in turn leads to the upregulation of the origin recognition complex subunit 6 (ORC6), thereby promoting tumorigenesis. The resulting COX10-AS1/miR-1-3p/ORC6 regulatory axis highlights its crucial role in driving glioma progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": "\n \nOverall, these findings establish COX10-AS1 (COX10-DT) as a multifunctional lncRNA that contributes to tumor development in distinct cancer types by engaging specific ceRNA mechanisms. In NSCLC, it enhances glycolytic metabolism and cell viability via the miR-142-5p/PAICS axis, while in glioma, it promotes proliferation and invasiveness through the miR-1-3p/ORC6 axis. These insights not only enhance our understanding of COX10-AS1’s diverse molecular functions but also nominate it as a potential target for therapeutic interventions across different malignancies.\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Xinyu Tang, YiHe Wu, Jie Yang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Regulating COX10-AS1 / miR-142-5p / PAICS axis inhibits the proliferation of non-small cell lung cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Bioengineered (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1080/21655979.2021.1957072"}], "href": "https://doi.org/10.1080/21655979.2021.1957072"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34323174"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34323174"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Ge Zhang, Xiang Tao, Bao-Wei Ji, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Long Non-coding RNA COX10-AS1 Promotes Glioma Progression by Competitively Binding miR-1-3p to Regulate ORC6 Expression."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Neuroscience (2024)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.neuroscience.2023.09.020"}], "href": "https://doi.org/10.1016/j.neuroscience.2023.09.020"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "38244670"}], "href": "https://pubmed.ncbi.nlm.nih.gov/38244670"}]}]}]}
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| NCBI Gene ID | 100874058 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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COX10-DT has 4 functional associations with biological entities spanning 1 categories (cell line, cell type or tissue) extracted from 1 datasets.
Click the + buttons to view associations for COX10-DT from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of COX10-DT gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |