{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent studies have implicated the long intergenic non‐coding RNA LINC00645 as a multifunctional player in human disease, with a particularly prominent role in glioma. In glioblastoma, LINC00645 is significantly upregulated and its elevated expression correlates with poor overall survival. Functional experiments demonstrated that LINC00645 can promote oncogenic behavior by enhancing cell proliferation, stemness, migration, invasion, and TGF‑β–induced motility. Mechanistically, LINC00645 directly interacts with microRNA‐205‑3p, thereby relieving its suppression of ZEB1, a transcription factor known to drive epithelial–mesenchymal transition (EMT) and tumor progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n Moreover, LINC00645 has emerged as a recurrent component of prognostic lncRNA signatures in several contexts. Its inclusion in predictive panels for glioblastoma, lung cancer, kidney transplant rejection, and endometrial cancer highlights its potential use as a biomarker for disease stratification and outcome prediction."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "2", "end_ref": "6"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n In summary, LINC00645 appears to function as an oncogenic regulator in glioma through a ceRNA mechanism that modulates key EMT drivers, while its recurrent identification across diverse disease models underscores its promise as a prognostic biomarker and potential therapeutic target.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Chenlong Li, Hongshan Zheng, Weiliang Hou, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Long non-coding RNA linc00645 promotes TGF-β-induced epithelial-mesenchymal transition by regulating miR-205-3p-ZEB1 axis in glioma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Death Dis (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41419-019-1948-8"}], "href": "https://doi.org/10.1038/s41419-019-1948-8"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31558707"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31558707"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Ruqing Liang, Yaqin Zhi, Guizhi Zheng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Analysis of long non-coding RNAs in glioblastoma for prognosis prediction using weighted gene co-expression network analysis, Cox regression, and L1-LASSO penalization."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Onco Targets Ther (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2147/OTT.S171957"}], "href": "https://doi.org/10.2147/OTT.S171957"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30613154"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30613154"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Qing Cao, Zewen Dong, Shuzhen Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Cell Int (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12935-020-01295-8"}], "href": "https://doi.org/10.1186/s12935-020-01295-8"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32518519"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32518519"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Nuan Lin, Jia-Zhe Lin "}, {"type": "b", "children": [{"type": "t", "text": "Identification of long non-coding RNA biomarkers and signature scoring, with competing endogenous RNA networks- targeted drug candidates for recurrent implantation failure."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Fertil (Camb) (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1080/14647273.2021.1956693"}], "href": "https://doi.org/10.1080/14647273.2021.1956693"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34308739"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34308739"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Zedan Zhang, Yanlin Tang, Hongkai Zhuang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identifying 4 Novel lncRNAs as Potential Biomarkers for Acute Rejection and Graft Loss of Renal Allograft."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Immunol Res (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2020/2415374"}], "href": "https://doi.org/10.1155/2020/2415374"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33376751"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33376751"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Bei Jun Chen, Frances L Byrne, Konii Takenaka, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome landscape of long intergenic non-coding RNAs in endometrial cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gynecol Oncol (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.ygyno.2017.10.006"}], "href": "https://doi.org/10.1016/j.ygyno.2017.10.006"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29050779"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29050779"}]}]}]}