| Name | ITCH intronic transcript 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n It is important to note that the two abstracts provided do not describe any functional data on “ITCH‐IT1.” Rather, both studies focus on the dysregulation of long non‐coding RNAs (lncRNAs) in colon cancer—with one report highlighting CASC21 as a novel oncogenic lncRNA in this disease. Specifically, the first study (1) showed that CASC21 is significantly overexpressed in colon cancer tissues relative to normal tissues, with its expression correlating with increased tumor node metastasis staging. CASC21 was shown to promote cell proliferation through cell cycle regulation, facilitate metastatic processes via epithelial–mesenchymal transition (EMT), and potentially drive oncogenesis via activation of the WNT/β‑catenin signaling pathway. In a complementary investigation (2), a comprehensive analysis of coding and noncoding RNAs in colon adenocarcinoma patients led to the construction of a ceRNA network, underscoring the broader relevance of altered lncRNA expression patterns as prognostic markers and potential therapeutic targets in colon cancer.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Although these studies accentuate the pivotal role of dysregulated lncRNAs such as CASC21 in colon tumorigenesis, they do not provide any information regarding the function of ITCH‑IT1. Consequently, based on the abstracts provided, no direct conclusions can be drawn about ITCH‑IT1, and its role (if any) in similar oncogenic processes remains to be elucidated."}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Qun Zhang, Yinzhu Bian, Yiping Zhu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Integrative analysis and validation of dysregulated long non-coding RNAs in colon cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Mol Med (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/jcmm.14974"}], "href": "https://doi.org/10.1111/jcmm.14974"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31965704"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31965704"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Wen-Jie Wang, Hong-Tao Li, Jian-Ping Yu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A Competing Endogenous RNA Network Reveals Novel Potential lncRNA, miRNA, and mRNA Biomarkers in the Prognosis of Human Colon Adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Surg Res (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.jss.2018.09.053"}], "href": "https://doi.org/10.1016/j.jss.2018.09.053"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30691798"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30691798"}]}]}]}
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| NCBI Gene ID | 100874302 |
| 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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ITCH-IT1 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 ITCH-IT1 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 ITCH-IT1 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of ITCH-IT1 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |