Integrated Analysis of Glutathione Metabolic Pathway in Pancreatic Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35721499", "kind": "science-record", "revision": 3, "content_hash": "sha256:91d59e1f6a525878906d256a7698f7e32c4ddbfe22053782bcf936f2c87d032e", "created_at": "2026-11-01T18:14:43Z", "updated_at": "2026-11-01T21:28:11Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated Analysis of Glutathione Metabolic Pathway in Pancreatic Cancer.", "doi": "10.3389/fcell.2022.896136", "pmid": "35721499", "authors": ["Xingui Wu", "Ruyuan Yu", "Meisongzhu Yang", "Yameng Hu", "Miaoling Tang", "Shuxia Zhang", "Ainiwaerjiang Abudourousuli", "Xincheng Li", "Ziwen Li", "Xinyi Liao", "Yingru Xu", "Man Li", "Suwen Chen", "Wanying Qian", "Rongni Feng", "Jun Li", "Fenjie Li"], "journal": "Frontiers in cell and developmental biology", "year": 2022, "abstract": "Metabolic enzyme-genes (MEs) play critical roles in various types of cancers. However, MEs have not been systematically and thoroughly studied in pancreatic cancer (PC). Global analysis of MEs in PC will help us to understand PC progressing and provide new insights into PC therapy. In this study, we systematically analyzed RNA sequencing data from The Cancer Genome Atlas (TCGA) (n = 180 + 4) and GSE15471 (n = 36 + 36) and discovered that metabolic pathways are disordered in PC. Co-expression network modules of MEs were constructed using weighted gene co-expression network analysis (WGCNA), which identified two key modules. Both modules revealed that the glutathione signaling pathway is disordered in PC and correlated with PC stages. Notably, glutathione peroxidase 2 (GPX2), an important gene involved in glutathione signaling pathway, is a hub gene of the key modules. Analysis of immune microenvironment components reveals that PC stage is associated with M2 macrophages, the marker gene of which is significantly correlated with GPX2. The results indicated that GPX2 is associated with PC progression, providing new insights for future targeted therapy.", "claims": [{"id": "claim-method", "statement": "RNA-seq and microarray datasets used above was analyzed by WGCNA to construct a co-expression network (Langfelder and Horvath, 2008).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35721499", "locator": "sections[6] \"Weighted Gene Co-Expression Network Analysis\" paragraph 2", "quote": "RNA-seq and microarray datasets used above was analyzed by WGCNA to construct a co-expression network (Langfelder and Horvath, 2008)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35721499", "locator": "sections[19] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In this study, we systematically analyzed RNA sequencing data from The Cancer Genome Atlas (TCGA) (n = 180 + 4) and GSE15471 (n = 36 + 36) and discovered that metabolic pathways are disordered in PC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35721499", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In this study, we systematically analyzed RNA sequencing data from The Cancer Genome Atlas (TCGA) (n = 180 + 4) and GSE15471 (n = 36 + 36) and discovered that metabolic pathways are disordered in PC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In this study, we systematically analyzed RNA sequencing data from The Cancer Genome Atlas (TCGA) (n = 180 + 4) and GSE15471 (n = 36 + 36) and discovered that metabolic pathways are disordered in PC.", "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:35721499"], "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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