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pmid:31415393

Identifying crucial genes for prognosis in septic patients: Gene integration study based on PRISMA guidelines.

Yingchun Hu · Wu Zhong · Muhu Chen · Qian Zhang

Medicine · 2019 doi:10.1097/MD.0000000000016807

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Identifying crucial genes for prognosis in septic patients: Gene integration study based on PRISMA guidelines.
doi
10.1097/MD.0000000000016807
pmid
31415393
authors array · 4 items
[0]
Yingchun Hu
[1]
Wu Zhong
[2]
Muhu Chen
[3]
Qian Zhang
journal
Medicine
year
2019
abstract
BACKGROUND: Sepsis is a serious clinical condition with a poor prognosis, despite improvements in diagnosis and treatment.Therefore, novel biomarkers are necessary that can help with estimating prognosis and improving clinical outcomes of patients with sepsis. METHODS: The gene expression profiles GSE54514 and GSE63042 were downloaded from the GEO database. DEGs were screened by t test after logarithmization of raw data; then, the common DEGs between the 2 gene expression profiles were identified by up-regulation and down-regulation intersection. The DEGs were analyzed using bioinformatics, and a protein-protein interaction (PPI) survival network was constructed using STRING. Survival curves were constructed to explore the relationship between core genes and the prognosis of sepsis patients based on GSE54514 data. RESULTS: A total of 688 common DEGs were identified between survivors and non-survivors of sepsis, and 96 genes were involved in survival networks. The crucial genes Signal transducer and activator of transcription 5A (STAT5A), CCAAT/enhancer-binding protein beta (CEBPB), Myc proto-oncogene protein (MYC), and REL-associated protein (RELA) were identified and showed increased expression in sepsis survivors. These crucial genes had a positive correlation with patients' survival time according to the survival analysis. CONCLUSIONS: Our findings indicate that the genes STAT5A, CEBPB, MYC, and RELA may be important in predicting the prognosis of sepsis patients.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31415393", "kind": "science-record", "revision": 8, "content_hash": "sha256:b5546e4d93b4a89e772092eaa4a85af83dbc461d1210793b9e0dfd7efa493224", "created_at": "2026-11-01T15:40:48Z", "updated_at": "2026-11-01T22:00:46Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identifying crucial genes for prognosis in septic patients: Gene integration study based on PRISMA guidelines.", "doi": "10.1097/MD.0000000000016807", "pmid": "31415393", "authors": ["Yingchun Hu", "Wu Zhong", "Muhu Chen", "Qian Zhang"], "journal": "Medicine", "year": 2019, "abstract": "BACKGROUND: Sepsis is a serious clinical condition with a poor prognosis, despite improvements in diagnosis and treatment.Therefore, novel biomarkers are necessary that can help with estimating prognosis and improving clinical outcomes of patients with sepsis.\nMETHODS: The gene expression profiles GSE54514 and GSE63042 were downloaded from the GEO database. DEGs were screened by t test after logarithmization of raw data; then, the common DEGs between the 2 gene expression profiles were identified by up-regulation and down-regulation intersection. The DEGs were analyzed using bioinformatics, and a protein-protein interaction (PPI) survival network was constructed using STRING. Survival curves were constructed to explore the relationship between core genes and the prognosis of sepsis patients based on GSE54514 data.\nRESULTS: A total of 688 common DEGs were identified between survivors and non-survivors of sepsis, and 96 genes were involved in survival networks. The crucial genes Signal transducer and activator of transcription 5A (STAT5A), CCAAT/enhancer-binding protein beta (CEBPB), Myc proto-oncogene protein (MYC), and REL-associated protein (RELA) were identified and showed increased expression in sepsis survivors. These crucial genes had a positive correlation with patients' survival time according to the survival analysis.\nCONCLUSIONS: Our findings indicate that the genes STAT5A, CEBPB, MYC, and RELA may be important in predicting the prognosis of sepsis patients.", "claims": [{"id": "claim-method", "statement": "The DEGs between survivors and non-survivors were selected by t-test, with a P value <.05 considered the cut-off criteria.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31415393", "locator": "sections[4] \"Screening for DEGs\" paragraph 2", "quote": "The DEGs between survivors and non-survivors were selected by t-test, with a P value <.05 considered the cut-off criteria."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Two microarray datasets for sepsis were downloaded from the public Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/): GSE54514[4] and GSE63042.[5]", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31415393", "locator": "sections[3] \"Microarray chip data\" paragraph 2", "quote": "Two microarray datasets for sepsis were downloaded from the public Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/): GSE54514[4] and GSE63042.[5]"}], "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:31415393"], "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:GSE54514"], "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:GSE54514"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31415393", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000016807", "sha256": 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE54514", "GSE63042"], "resolved_accessions": ["GSE54514", "GSE63042"], "statements": ["Two microarray datasets for sepsis were downloaded from the public Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/): GSE54514[4] and GSE63042.[5]"], "basis": "The paper names GSE54514, GSE63042 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": ["build_graph", "centrality_scores", "pathway_enrich"], "assets": ["source:pmid:31415393", "data:geo:GSE54514", "asset:table:pmid:31415393:1", "asset:table:pmid:31415393:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE54514"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:15:45Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 12682, "completion_tokens": 1329, "cached_tokens": 4360}}, "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:31415393", "type": "paper", "label": "pmid:31415393"}, {"id": "source:pmid:31415393", "type": "manuscript", "label": "PMID 31415393 full text"}, {"id": "data:geo:GSE54514", "type": "dataset", "label": "GEO GSE54514"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:31415393", "type": "paper", "label": "pmid:31415393"}, {"id": "source:pmid:31415393", "type": "manuscript", "label": "PMID 31415393 full text"}, {"id": "data:geo:GSE54514", "type": "dataset", "label": "GEO GSE54514"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-31415393", "type": "extraction", "used": ["source:pmid:31415393"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE54514", "type": "accession_resolution", "used": ["data:geo:GSE54514"], "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:31415393", "parent_hash": "sha256:b946057f234f02b9a58ce00dc1e3048a14581b6fbf5c404fadf2208216adaa0f", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE54514 licence not read", "asset:data:geo:GSE54514 not downloaded", "asset:data:geo:GSE63042 licence not read", "asset:data:geo:GSE63042 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["protein-protein interaction"], "order_basis": "analysis_only", "id": "assay:1"}]}