Abstract 3503: New generation drug development from in-silico identification to preclinical evaluation in glioblastoma
Abstract
Glioblastoma(GBM) is the most common malignancy of the central nervous system in adults. Despite medical advancements, stagnant survival rate improvements (<13%) and failure of conventional treatments such as temozolomide, have warranted the need for novel drug discovery methodologies. Considering the enormous potential of drug repurposing, we developed a method to identify a safe, active, and effective treatment for GBM. This method comprises two key stages, drug-target prediction and preclinical functional evaluation. Stage 1 fabricated a novel five phase in-silico pipeline for drug-target prediction against Ephrin-Type-A Receptor 2, chosen through preliminary literature and genomic analysis. Around 1562 FDA approved drugs were screened against the developed criterion and analyzed for bond type, location, repulsion, Gibbs free energy, stability, interactions over time, blood brain barrier permeability, and possible false positives (PAINS). Our results provided five plausible hits: Empagliflozin, Mycophenolate mofetil, Canagliflozin, Rivaroxaban, and Carvedilol. We subsequently evaluated the anti-proliferative effects of these hits using Sulforhodamine-B cytotoxicity assay on glioblastoma cell lines U251 and SF295. Our results demonstrated that Canaglifozin and Empagliflozin reduced the proliferation of GBM cell lines with IC50 value ranging from 30-40 μM. On the other hand, Mycophenolate mofetil (IC50: 5μM) and Carvedilol (IC50:16μM) also exhibited significant cytotoxic…
Read the paper
Related studies
- Strategy for Mitigating DKA Risk in Patients with Type 1 Diabetes on Adjunctive Treatment with SGLT Inhibitors: A STICH Protocol
- Glucoraphanin: a broccoli sprout extract that ameliorates obesity-induced inflammation and insulin resistance
- SGLT2 Inhibitors in Heart Failure: Targeted Metabolomics and Energetic Metabolism
- Mechanisms of blood pressure reduction with sodium-glucose co-transporter 2 (SGLT2) inhibitors
- Sodium-glucose cotransporter inhibitors: beyond glycaemic control
- Decoding the effects of SGLT2 inhibitors on cardiac arrhythmias in heart failure
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.