Identification of potential serum exosomal microRNAs involved in acinar-ductal metaplasia that is a precursor of pancreatic cancer associated with chronic pancreatitis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33950960", "kind": "science-record", "revision": 5, "content_hash": "sha256:114e698a1f4297301fb569861a88cdc93074f1f43aba8dd6799d511d5edc9a7a", "created_at": "2026-11-01T15:41:34Z", "updated_at": "2026-11-01T22:03:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential serum exosomal microRNAs involved in acinar-ductal metaplasia that is a precursor of pancreatic cancer associated with chronic pancreatitis.", "doi": "10.1097/MD.0000000000025753", "pmid": "33950960", "authors": ["Li-Ping Sheng", "Chao-Qun Han", "Chi Nie", "Tao Xu", "Kun Zhang", "Xuan-Ji Li", "Xin-Ru Xie", "Rong Lin", "Zhen Ding"], "journal": "Medicine", "year": 2021, "abstract": "BACKGROUNDS: Due to difficulty in early diagnosis of chronic pancreatitis (CP), it is urgent to find novel biomarkers to detect CP. Exosomal microRNAs (Exo-miRNAs) located in the serum may be potential diagnostic and therapeutic targets for CP.\nOBJECTIVE: To identify differentially expressed Exo-miRNAs (DE-Exo-miRNAs) in the serum of CP patients, we performed a bioinformatics analysis.\nMETHODS: The dataset GSE128508 was downloaded from the Gene Expression Omnibus (GEO) database. The analysis was carried out using BRB-ArrayTools and significance analysis of microarrays (SAM). The target genes of DE-S-Exo-miRNAs were predicted by miRWalk databases. Further gene ontology (GO) term and Kyoto Encyclopedia of Genomes (KEGG) pathway analyses were performed with plug-in ClueGO in Cytoscape software 3.7.0. Subsequently, the interaction regulatory network between encoded proteins of target genes was performed with the Search Tool for the Retrieval of Interacting Genes (STRING) database and analyzed using plug-in Molecular Complex Detection (MCODE) and cytoHubba in Cytoscape software 3.7.0.\nRESULTS: We identified 227 DE-Exo-miRNAs in the serum. Further analysis using the miRWalk database identified 5164 target genes of these miRNAs. The protein-protein interaction (PPI) regulatory network of 1912 potential target genes for hub 10 up-regulated miRNAs with high degrees and one down-regulated miRNAs were constructed using the STRING database and Cytoscape software. The functional analysis using Cytoscape software tool highlighted that target genes involved in pancreatic cancer. Acinar-ductal metaplasia (ADM) in the inflammatory environment of CP is a precursor of pancreatic cancer. Subsequently, we constructed a network of target genes associated with ADM and their miRNAs.\nCONCLUSIONS: Exo-miRNAs in the serum as well as their target genes may be promising targets for the early diagnosis and treatment of CP. In addition, we identified potential Exo-miRNAs involved in ADM that is a precursor of pancreatic cancer associated with CP.", "claims": [{"id": "claim-method", "statement": "The data from GSE128508 were analyzed by BRB-ArrayTools 4.6.0, R 4.0.1, and Significance Analysis of Microarrays (SAM) 5.0 to identify serous DE-Exo-miRNAs between CP and normal samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33950960", "locator": "sections[4] \"Data processing and identifying serous DE-Exo-miRNAs\" paragraph 2", "quote": "The data from GSE128508 were analyzed by BRB-ArrayTools 4.6.0, R 4.0.1, and Significance Analysis of Microarrays (SAM) 5.0 to identify serous DE-Exo-miRNAs between CP and normal samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data available statement: Data comes from GEO database, which is a public open platform.The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33950960", "locator": "sections[19] \"Footnotes\" paragraph 2", "quote": "Data available statement: Data comes from GEO database, which is a public open platform.The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33950960"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE128508"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE128508"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33950960", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000025753", "sha256": 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during the current study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Data available statement: Data comes from GEO database, which is a public open platform.The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3678191", "GSM3678192", "GSM3678193", "GSM3678194", "GSM3678195", "GSM3678196", "GSM3678197", "GSM3678198", "GSM3678199", "GSM3678200", "GSM3678201", "GSM3678202", "GSM3678203", "GSM3678204", "GSM3678205", "GSM3678206", "GSM3678207", "GSM3678208", "GSM3678209", "GSM3678210", "GSM3678211", "GSM3678212", "GSM3678213", "GSM3678214", "GSM3678215", "GSM3678216", "GSM3678217", "GSM3678218", "GSM3678219", "GSM3678220"], "sample_count": 30, "group_sizes": null, "group_sizes_basis": null, "platform": 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