← All .science files
pmid:30278585
Identification of key microRNAs and their targets in exosomes of pancreatic cancer using bioinformatics analysis.
Xin Zhao · Yiming Ren · Naiqiang Cui · Ximo Wang · Yunfeng Cui
Medicine · 2018 doi:10.1097/MD.0000000000012632
Paper
complete
Experiment
complete
Data
partial
Analysis
complete
Execution
absent
Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
paper object · 10 fields
authors array · 5 items
claims array · 2 items
[0] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[1] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
assets array · 4 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 13 items
[2] object · 16 fields
structure object · 5 fields
[3] object · 16 fields
structure object · 5 fields
gaps array · 2 items
analysis object · 4 fields
methods array · 3 items
[0] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 3 items
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 1 item
resolved_accessions array · 1 item
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 3 items
assets array · 4 items
steps array · 1 item
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 6 items
assays array · 2 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 3 items
[1] object · 11 fields
required_operations array · 3 items
source_hashes object · 1 field
evidence array · 1 item
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30278585", "kind": "science-record", "revision": 9, "content_hash": "sha256:5b1c182ff7285a5ba99e731f283b7d8e48d8ef357141b4777549edf7a5955602", "created_at": "2026-11-01T15:40:37Z", "updated_at": "2026-11-01T22:43:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of key microRNAs and their targets in exosomes of pancreatic cancer using bioinformatics analysis.", "doi": "10.1097/MD.0000000000012632", "pmid": "30278585", "authors": ["Xin Zhao", "Yiming Ren", "Naiqiang Cui", "Ximo Wang", "Yunfeng Cui"], "journal": "Medicine", "year": 2018, "abstract": "Pancreatic cancer (PC) is one of the most lethal tumors, due to late diagnosis and limited surgical strategies. It has been reported that serum exosomal microRNAs (S-Exo-miRNAs) play a pivotal role as signaling molecules and serve as noninvasive diagnosis methods for PC. The combination of S-Exo-miRNAs with the corresponding target also plays an important role in the tumor microenvironment.Here we investigated S-Exo-miRNAs involved in PC. The gene expression profile was downloaded from the Gene Expression Omnibus (GEO) database. The analysis was carried out using GEO2R. The targets of differentially expressed serum exosomal miRNAs (DE-S-Exo-miRNAs) were predicted by 4 bioinformatic algorithms (miRanda, miRDB, miRWalk, and Targetscan). Further analysis with gene ontology (GO) and Kyoto Encyclopedia of Genomes pathway (KEGG) enrichment analyses were performed with Cytoscape software version 3.4.0. Subsequently, the interaction regulatory network of target genes was performed with the Search Tool for the Retrieval of Interacting Genes (STRING) database (http://www.string-db.org/) and visualized using Cytoscape software.We downloaded the gene expression profile GSE50632, which was based on an Agilent microarray GPL17660 platform containing 4 eligible samples. In total 467 DE-S-Exo-miRNAs were obtained, including 7 overexpressed miRNAs (1.50%), and 460 remaining underexpressed miRNAs (98.50%). The databases miRWalk, miRDB, miRanda, and TargetScan were used to predict their potential targets, which were subsequently submitted to Cytoscape software version 3.4.0 (www.cytoscape.org). Next the functional and pathway enrichment analysis were used for the KEGG pathway and GO categories analysis. The enrichment analysis identified the genes involved in such processes as developmental and negative regulation of multicellular organismal processes, regulation of anatomical structure morphogenesis, regulation of cell death, apoptotic processes and mitogen-activated protein kinase (MAPK) signaling pathway, transforming growth factor - beta (TGF -β) signaling pathway, cyclic adenosine monophosphate (cAMP) signaling pathway, and the phosphatidylinositol-3 kinases/Akt (PI3K-Akt) signaling pathway. Subsequently according to the protein-protein interaction (PPI) network, the top 10 genes were obtained. The enrichment analyses of the genes involved in a significant module revealed that these genes were related to the TGF-β signaling pathway. After reviewing the literature, we identified the apoptosis genes, and their corresponding miRNAs that have a relationship with apoptosis of the tumor.This analysis provides a comprehensive understanding of the roles of S-Exo-miRNAs and the related targets in the development of PC. Additionally, the present study provides promising candidate targets for early diagnosis and therapeutic intervention. However, these predictions require further experimental validation in future studies.", "claims": [{"id": "claim-method", "statement": "The analysis was carried out using GEO2R, which can perform comparisons on original submitter-supplied processed data tables using the GEO query and limma R packages from the Bioconductor project.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30278585", "locator": "sections[4] \"DE-S-Exo-miRNAs in patients with or without pancreatic adenocarcinoma\" paragraph 2", "quote": "The analysis was carried out using GEO2R, which can perform comparisons on original submitter-supplied processed data tables using the GEO query and limma R packages from the Bioconductor project."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The S-Exo-miRNA profile of GSE50632 was downloaded from the GEO (www.ncbi.nlm.nih.gov/geo/), and the GEO2R method was used to identify DE-Exo-miRNAs in the PC samples compared with the control samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30278585", "locator": "sections[10] \"Identification of DE-S-Exo-miRNAs\" paragraph 2", "quote": "The S-Exo-miRNA profile of GSE50632 was downloaded from the GEO (www.ncbi.nlm.nih.gov/geo/), and the GEO2R method was used to identify DE-Exo-miRNAs in the PC samples compared with the control samples."}], "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:30278585"], "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:GSE50632"], "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:GSE50632"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30278585", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000012632", "sha256": "sha256:419fd78dc4b5344bf6e0d4164cc706f5340106d704eba6c36f093f738de7b2d5", "bytes": 34886, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1097/MD.0000000000012632", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6181532", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE50632", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50632", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE50632", "version": null, "note": "The S-Exo-miRNA profile of GSE50632 was downloaded from the GEO (www.ncbi.nlm.nih.gov/geo/), and the GEO2R method was used to identify DE-Exo-miRNAs in the PC samples compared with the control samples.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The S-Exo-miRNA profile of GSE50632 was downloaded from the GEO (www.ncbi.nlm.nih.gov/geo/), and the GEO2R method was used to identify DE-Exo-miRNAs in the PC samples compared with the control samples.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1224991", "GSM1224992", "GSM1224993", "GSM1224994", "GSM1224995", "GSM1224996", "GSM1224997", "GSM1224998", "GSM1224999", "GSM1225000", "GSM1225001", "GSM1225002", "GSM1225003"], "sample_count": 13, "group_sizes": null, "group_sizes_basis": null, "platform": "16294;17660", "taxon": "Human alphaherpesvirus 2; Cytomegalovirus; Lymphocryptovirus; Betapolyomavirus macacae; Murid gammaherpesvirus 4; Rattus norvegicus; JC polyomavirus; Betapolyomavirus hominis; Homo sapiens; Mus musculus; Human alphaherpesvirus 1; Human betaherpesvirus 5; Rhadinovirus; Human immunodeficiency virus 1; Merkel cell polyomavirus", "title": "Pancreatic cancer cell exosomal microRNA as diagnostic marker", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:30278585:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:102c2bc593df278cd1283b1f484dc1f9c66ba3f180bc1a81776402887c43df9f", "bytes": 197, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#T1", "version": null, "note": "List of differentially expressed exosomal miRNAs.", "structure": {"pmcid": "PMC6181532", "section_index": 10, "section_title": "Identification of DE-S-Exo-miRNAs", "row_count": 0, "column_count": 0}, "table": {"label": "Table 1", "caption": "List of differentially expressed exosomal miRNAs.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[10]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:30278585:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:36e68ba151162f24b5c3c90c9f974f7013b0cbdfdd139bfe7f3a0398a761b996", "bytes": 238, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#T2", "version": null, "note": "Go function annotation of differentially expression exosomal miRNA target genes. (Top 20).", "structure": {"pmcid": "PMC6181532", "section_index": 12, "section_title": "GO term enrichment and KEGG pathways analysis of target genes of DE-S-Exo-miRNAs", "row_count": 0, "column_count": 0}, "table": {"label": "Table 2", "caption": "Go function annotation of differentially expression exosomal miRNA target genes. (Top 20).", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[12]/table-wrap[1]#T2"}}], "gaps": ["asset:data:geo:GSE50632 not downloaded", "asset:data:geo:GSE50632 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The analysis was carried out using GEO2R, which can perform comparisons on original submitter-supplied processed data tables using the GEO query and limma R packages from the Bioconductor project."}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "pathway enrichment"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE50632"], "resolved_accessions": ["GSE50632"], "statements": ["The S-Exo-miRNA profile of GSE50632 was downloaded from the GEO (www.ncbi.nlm.nih.gov/geo/), and the GEO2R method was used to identify DE-Exo-miRNAs in the PC samples compared with the control samples."], "basis": "The paper names GSE50632 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:30278585", "data:geo:GSE50632", "asset:table:pmid:30278585:1", "asset:table:pmid:30278585:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE50632"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:12:28Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 25565, "completion_tokens": 1079, "cached_tokens": 784}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:30278585", "type": "paper", "label": "pmid:30278585"}, {"id": "source:pmid:30278585", "type": "manuscript", "label": "PMID 30278585 full text"}, {"id": "data:geo:GSE50632", "type": "dataset", "label": "GEO GSE50632"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:30278585", "type": "paper", "label": "pmid:30278585"}, {"id": "source:pmid:30278585", "type": "manuscript", "label": "PMID 30278585 full text"}, {"id": "data:geo:GSE50632", "type": "dataset", "label": "GEO GSE50632"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-30278585", "type": "extraction", "used": ["source:pmid:30278585"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE50632", "type": "accession_resolution", "used": ["data:geo:GSE50632"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:30278585", "parent_hash": "sha256:aaecc333baeff5cd6ebe59bf00801a8564227581735e92c345872f56c22f932e", "fork_of": null, "generation": 8}, "gaps": ["asset:data:geo:GSE50632 licence not read", "asset:data:geo:GSE50632 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["reviewing the literature, we identified the apoptosis genes, and their corresponding miRNAs that h", "ponding miRNAs that have a relationship with apoptosis of the tumor.This analysis provides a compre", "e enriched in cancer, ribosome, endocytosis, apoptosis, mitogen-activated protein kinase (MAPK) sig"], "order_basis": "paper_text_order:2583", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The analysis was carried out using GEO2R, which can perform comparisons on original submitter-supplied processed data tables using the GEO query and limma R packages from the Bioconductor project."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}