| Name | ITGA9 antisense RNA 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n ITGA9‐AS1 is a long non‐coding RNA that has recently emerged as a potential regulator in cancer. In breast cancer, where 70–75% of patients are estrogen receptor α–positive"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", this transcript has been implicated in modulating tumor behavior. Using a novel prioritization algorithm based on a multi‐level composite network, ITGA9‐AS1 was among the candidate lncRNAs identified to be associated with breast cancer, with pathway analyses suggesting its involvement in key signaling cascades underlying disease progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Moreover, in non–small cell lung cancer, ITGA9‐AS1 formed part of a seven‐lncRNA signature that significantly correlated with overall survival, particularly in early‐stage patients, underscoring its potential as a prognostic biomarker."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Xiulei Zhang, Shanjun Gao, Zhen Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification and Analysis of Estrogen Receptor "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "α"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " Promoting Tamoxifen Resistance-Related lncRNAs."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Res Int (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2020/9031723"}], "href": "https://doi.org/10.1155/2020/9031723"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32420379"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32420379"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Qianlan Yao, Leilei Wu, Jia Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/srep39516"}], "href": "https://doi.org/10.1038/srep39516"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28051121"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28051121"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Ting Lin, Yunong Fu, Xing Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A seven-long noncoding RNA signature predicts overall survival for patients with early stage non-small cell lung cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Aging (Albany NY) (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/aging.101550"}], "href": "https://doi.org/10.18632/aging.101550"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30205363"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30205363"}]}]}]}
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| NCBI Gene ID | 101928153 |
| 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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ITGA9-AS1 has 6 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 2 datasets.
Click the + buttons to view associations for ITGA9-AS1 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of ITGA9-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of ITGA9-AS1 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |