ArticleNaunyn-Schmiedeberg's archives of pharmacology2024
Exploring the therapeutic potential of SGLT2 inhibitors in cancer treatment: integrating in silico and in vitro investigations.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Effects of sodium-glucose cotransporter 2 inhibitors in patients with cancer and diabetes mellitus: a systematic review and meta-analysis.European heart journal. Cardiovascular pharmacotherapy · 2025Pooled it
- Metabolic reprogramming in cancer: dysregulation of glucose, lipid, and amino acid pathways and therapeutic opportunities.Molecular biomedicine · 2026Review
- Investigating Vitamin DMolecular diversity · 2026Article
- Exploring the Potential of Dolutegravir in Alzheimer's Disease Treatment: Insights from Network Pharmacology andCentral nervous system agents in medicinal chemistry · 2026Article
- Interconnected Mechanistic Pathways, Molecular Biomarkers, and Therapeutic Approach of Oral Cancer in Patients with Diabetes Mellitus.Current issues in molecular biology · 2025Review
- SGLT-2 inhibitors are beneficial in reducing the risk of thyroid cancer: findings from a Mendelian randomization study.Acta diabetologica · 2025Article
- Dual Roles of Canagliflozin on Cholangiocarcinoma Cell Growth and Enhanced Growth Suppression in Combination with FK866.International journal of molecular sciences · 2025Article
- Research Progress of SGLT2 Inhibitors in Cancer Treatment.Drug design, development and therapy · 2025Review
- Effect of Sodium-Glucose Co-Transporter 2 Inhibitors Combined with Metformin on Pancreatic Cancer Cell Lines.International journal of molecular sciences · 2024Article
- Cardiovascular outcomes associated with SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus and cancer: a systematic review and meta-analysis.Diabetology & metabolic syndrome · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate the anti-cancer mechanism of canagliflozin (CANA) and dapagliflozin (DAPA), sodium-glucose co-transporter-2 (SGLT2) inhibitors, using in silico and in vitro approaches. Network pharmacology was employed to predict the targets of the inhibitors and GO gene enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation conducted to explore the interacting pathways. Molecular docking and molecular dynamic (MD) simulation studies were performed to confirm the important targets and assess conformational stability. In vitro cytotoxicity assays, MIA-PaCa-2 and DU-145 cell lines CANA and DAPA was performed. Protein-protein interaction (PPI) network analysis indicated that CANA and DAPA exert anticancer effects through MAPK, mTOR, EGFR-KRAS-BRAF, FGFR, and PI3KA pathways. KEGG analysis revealed that these inhibitors could be used in the treatment of various cancers, including breast, prostate, pancreatic, chronic myeloid leukemia, thyroid, small cell lung, gastric, and bladder cancer. Docking results showed highest affinity for MAPK1 for CANA (- 9.60 kcal/mol) and DAPA (- 9.58 kcal/mol). MD simulation results showed that RMSD values for the MAPK1-compound exhibit remarkable stability over a timeframe of 100 ns. In cytotoxicity assays using MIA-PaCa-2 and DU-145 cell lines, CANA demonstrated a potential antiproliferative effect on the pancreatic cell line MIA-PaCa-2 after 48 h of treatment at a concentration of 100 µg/ml. Furthermore, CANA arrested the cell cycle in the sub-G1 phase and induced late apoptosis and necrosis in MIA-PaCa-2 cell line. Based on these findings, CANA shows promise as a potential novel treatment strategy for pancreatic cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.