Cellular processes involved in lung cancer cells exposed to direct current electric field.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32210363", "kind": "science-record", "revision": 8, "content_hash": "sha256:965f2dfab9bd54cd0829dbba256804a9d30e0a291c2c53c429153323d1e9cc66", "created_at": "2026-11-01T15:40:58Z", "updated_at": "2026-11-01T22:01:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Cellular processes involved in lung cancer cells exposed to direct current electric field.", "doi": "10.1038/s41598-020-62332-0", "pmid": "32210363", "authors": ["Huijuan Li", "Shibin Liu", "Xue Yang", "Yongqian Du", "Jiezhang Luo", "Jie Tan", "Yulong Sun"], "journal": "Scientific reports", "year": 2020, "abstract": "With the rapid breakthrough of electrochemical treatment of tumors, electric field (EF)-sensitive genes, previously rarely exploited, have become an emerging field recently. Here, we reported our work for the identification of EF-sensitive genes in lung cancer cells. The gene expression profile (GSE33845), in which the human lung cancer CL1-0 cells were treated with a direct current electric field (dcEF) (300 mV/mm) for 2 h, was retrieved from GEO database. Differentially expressed genes (DEGs) were acquired, followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) and protein-protein interaction (PPI) analysis. Hub genes were acquired and analyzed by various tools including the Human Protein Atlas, Kaplan-Meier analysis, Cytoscape, FunRich, Oncomine and cBioPortal. Subsequently, three-dimensional protein models of hub genes were modeled by Modeller 9.20 and Rosetta 3.9. Finally, a 100 ns molecular dynamics simulation for each hub protein was performed with GROMACS 2018.2. A total of 257 DEGs were acquired and analyzed by GO, KEGG and PPI. Then, 10 hub genes were obtained, and the signal pathway analysis showed that two inflammatory pathways were activated: the FoxO signaling pathway and the AGE-RAGE signaling pathway. The molecular dynamic analysis including RMSD and the radius of gyration hinted that the 3D structures of hub proteins were built. Overall, our work identified EF-sensitive genes in lung cancer cells and identified that the inflammatory state of tumor cells may be involved in the feedback mechanism of lung cancer cells in response to electric field stimulation. In addition, qualified three-dimensional protein models of hub genes were also constructed, which will be helpful in understanding the complex effects of dcEF on human lung cancer CL1-0 cells.", "claims": [{"id": "claim-method", "statement": "The analysis was performed using GEO2R tool (https://www.ncbi.nlm.nih.gov/geo/geo2r). Hierarchical clustering analysis was applied to categorize the data into samples from the experimental group and the control group. A classical test to identify DEGs with a change ≥2.0 was chosen, and a p-value cutoff of <0.05 was defined to be statistically significant. The gene expression profiles of GSE33845 were downloaded from GEO database. GSE33845 was submitted by Huang C et al., which was based on GPL570 platform (Affymetrix GeneChip Human Genome U133 Plus 2.0 Array)10. The lung cancer CL1-0 cells were divided into two groups: the experimental group was exposed to dcEF (300 mV/mm) for 2 h, and the other group was the control group (Fig. 1A).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32210363", "locator": "sections[5] \"Identification of DEGs\" paragraph 2", "quote": "The analysis was performed using GEO2R tool (https://www.ncbi.nlm.nih.gov/geo/geo2r)."}, {"asset": "source:pmid:32210363", "locator": "sections[5] \"Identification of DEGs\" paragraph 2", "quote": "Hierarchical clustering analysis was applied to categorize the data into samples from the experimental group and the control group."}, {"asset": "source:pmid:32210363", "locator": "sections[5] \"Identification of DEGs\" paragraph 2", "quote": "A classical test to identify DEGs with a change ≥2.0 was chosen, and a p-value cutoff of <0.05 was defined to be statistically significant."}, {"asset": "source:pmid:32210363", "locator": "sections[4] \"Microarray data\" paragraph 2", "quote": "The gene expression profiles of GSE33845 were downloaded from GEO database."}, {"asset": "source:pmid:32210363", "locator": "sections[4] \"Microarray data\" paragraph 2", "quote": "GSE33845 was submitted by Huang C et al., which was based on GPL570 platform (Affymetrix GeneChip Human Genome U133 Plus 2.0 Array)10."}, {"asset": "source:pmid:32210363", "locator": "sections[4] \"Microarray data\" paragraph 2", "quote": "The lung cancer CL1-0 cells were divided into two groups: the experimental group was exposed to dcEF (300 mV/mm) for 2 h, and the other group was the control group (Fig."}, {"asset": "source:pmid:32210363", "locator": "sections[4] \"Microarray data\" paragraph 2", "quote": "1A)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The gene expression profiles of GSE33845 were downloaded from GEO database.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32210363", "locator": "sections[4] \"Microarray data\" paragraph 2", "quote": "The gene expression profiles of GSE33845 were downloaded from GEO database."}], "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:32210363"], "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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