Assessing the Link between Diabetic Metabolic Dysregulation and Breast Cancer Progression.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37511575", "kind": "science-record", "revision": 4, "content_hash": "sha256:09efa78f1fd64b1297c627327fd43fb8c38992c5feb9a6b9d635ab0f331bb8d3", "created_at": "2026-11-01T19:02:16Z", "updated_at": "2026-11-01T22:52:24Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Assessing the Link between Diabetic Metabolic Dysregulation and Breast Cancer Progression.", "doi": "10.3390/ijms241411816", "pmid": "37511575", "authors": ["Samrein B M Ahmed", "Nada Radwan", "Sara Amer", "Narjes Saheb Sharif-Askari", "Amena Mahdami", "Kamel A Samara", "Rabih Halwani", "Herbert F Jelinek"], "journal": "International journal of molecular sciences", "year": 2023, "abstract": "Diabetes mellitus is a burdensome disease that affects various cellular functions through altered glucose metabolism. Several reports have linked diabetes to cancer development; however, the exact molecular mechanism of how diabetes-related traits contribute to cancer progression is not fully understood. The current study aimed to explore the molecular mechanism underlying the potential effect of hyperglycemia combined with hyperinsulinemia on the progression of breast cancer cells. To this end, gene dysregulation induced by the exposure of MCF7 breast cancer cells to hyperglycemia (HG), or a combination of hyperglycemia and hyperinsulinemia (HGI), was analyzed using a microarray gene expression assay. Hyperglycemia combined with hyperinsulinemia induced differential expression of 45 genes (greater than or equal to two-fold), which were not shared by other treatments. On the other hand, in silico analysis performed using a publicly available dataset (GEO: GSE150586) revealed differential upregulation of 15 genes in the breast tumor tissues of diabetic patients with breast cancer when compared with breast cancer patients with no diabetes. SLC26A11, ALDH1A3, MED20, PABPC4 and SCP2 were among the top upregulated genes in both microarray data and the in silico analysis. In conclusion, hyperglycemia combined with hyperinsulinemia caused a likely unique signature that contributes to acquiring more carcinogenic traits. Indeed, these findings might potentially add emphasis on how monitoring diabetes-related metabolic alteration as an adjunct to diabetes therapy is important in improving breast cancer outcomes. However, further detailed studies are required to decipher the role of the highlighted genes, in this study, in the pathogenesis of breast cancer in patients with a different glycemic index.", "claims": [{"id": "claim-method", "statement": "Linear models for microarray data (LIMMA) were used to identify the differentially expressed genes between the diabetic group (n = 7) and non-diabetic group (n = 6).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37511575", "locator": "sections[14] \"4.8. 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Cell Culture The MCF7 cell line was maintained in EMEM (Sigma Aldrich; M2279) supplemented", "4. Materials and Methods 4.1. Study Design MCF7 cell line was selected in this study since t", "ents have been identified in this cell line. MCF7 cells, despite being obtained from a metasta"], "order_basis": "paper_text_order:593", "id": "assay:1"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["hyperinsulinemia (HGI), was analyzed using a microarray gene expression assay. Hyperglycemia combine", "were among the top upregulated genes in both microarray data and the in silico analysis. In conclusi", "orted by Milazzo G. et al. [106]. First, DNA microarray is employed to identify the differentially e", "ed to calculate the adjusted p-value for the microarray data. 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