The lncRNA UCA1 Enhances Pancreatic Cancer EMT by Regulating miR-708-5p and miR-135b-5p: A Bioinformatics Approach.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39086404", "kind": "science-record", "revision": 4, "content_hash": "sha256:222636cd265fe5c81f853ea4cc4c4ae0f410c954fdc539648b03cda65cec099e", "created_at": "2026-11-01T20:29:10Z", "updated_at": "2026-11-01T22:54:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The lncRNA UCA1 Enhances Pancreatic Cancer EMT by Regulating miR-708-5p and miR-135b-5p: A Bioinformatics Approach.", "doi": "10.18502/ijph.v53i7.16060", "pmid": "39086404", "authors": ["Nahid Askari", "Marziye Shad Pirouz", "Vida Mafikandi", "Morteza Hadizadeh", "Seyedeh Zahra Mousavi"], "journal": "Iranian journal of public health", "year": 2024, "abstract": "Background: Pancreatic cancer (PC) is an exceedingly malignant ailment that is not only characterized by its insidious onset and rapid progression but also by its poor therapeutic effects. Recently, emerging evidence has shed light on the significant role that non-coding RNAs (ncRNAs), particularly long ncRNAs (lncRNAs) and microRNAs (miRNAs), play in the pathogenesis of PC. This investigation aimed to construct a network of interactions between miRNAs, lncRNAs, and mRNAs, as well as to perform correlation analyses in the context of PC.\nMethods: This study carried out in Kerman City, southeastern Iran in 2023. We utilized the GSE119794 dataset from the Gene Expression Omnibus (GEO) to analyze differentially expressed lncRNAs (DE-lncRNAs), miRNAs (DE-miRNAs), and mRNAs (DE-mRNAs). Following the identification of the DE-lncRNAs, DE-mRNAs, and DE-miRNAs, we proceeded to examine differentially expressed epithelialmesenchymal transition (EMT) genes. Subsequently, we utilized the RNAInter database to predict interactions among lncRNAs, miRNAs, and mRNAs. Finally, we employed Cytoscape to visualize and analyze the constructed network.\nResults: 14 DE-lncRNAs, 14 DE-miRNAs, 545 DE-mRNAs, and 65 DE-EMT from pancreatic cancer and its adjacent tissue RNA-Seq data were identified. 1184 EMT genes from dbEMT were obtained, among which 65 DE-EMT were assigned as EMT genes and correlated with tumor progression. One functional lncRNA (UCA1) was identified as a key functional lncRNA. The area under the ROC curve (AUC) of UCA1 and miR-708-5p were 0.79 and 0.86, respectively. Thus, it is reasonable to believe that this prognostic risk model helps predict PC metastasis.\nConclusion: UCA1 is a new lncRNA linked with EMT in PC and contributes to a better knowledge of the regulatory mechanisms related to lncRNAs in PC.", "claims": [{"id": "claim-method", "statement": "All differentially expressed genes (DEGs) were discovered with the DESeq2 R package in Bio-conductor.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39086404", "locator": "sections[4] \"Identification of differentially expressed Genes (DEGs)\" paragraph 2", "quote": "All differentially expressed genes (DEGs) were discovered with the DESeq2 R package in Bio-conductor."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data and supplementary materials related to this article can be obtained from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39086404", "locator": "sections[21] \"Footnotes\" paragraph 2", "quote": "Data and supplementary materials related to this article can be obtained from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "14 DE-lncRNAs, 14 DE-miRNAs, 545 DE-mRNAs, and 65 DE-EMT from pancreatic cancer and its adjacent tissue RNA-Seq data were identified.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39086404", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "14 DE-lncRNAs, 14 DE-miRNAs, 545 DE-mRNAs, and 65 DE-EMT from pancreatic cancer and its adjacent tissue RNA-Seq data were identified."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "14 DE-lncRNAs, 14 DE-miRNAs, 545 DE-mRNAs, and 65 DE-EMT from pancreatic cancer and its adjacent tissue RNA-Seq data were identified.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39086404"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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