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Targeting MDM2-p53 Axis through Drug Repurposing for Cancer Therapy: A Multidisciplinary Approach
Naeem Abdul Ghafoor1, Aysegul Yildiz1,2
1Department of Molecular Biology and Genetics, Graduate School of Natural and Applied Sciences, Mugla Sitki Kocman University, 48000 Mugla, Turkey.
Abstract:
Cancer remains a major cause of morbidity and mortality worldwide, and while current therapies, such as chemotherapy, immunotherapy, and cell therapy, have been effective in many patients, the development of novel therapeutic options remains an urgent priority. Mouse double minute 2 (MDM2) is a key regulator of the tumor suppressor protein p53, which plays a critical role in regulating cellular growth, apoptosis, and DNA repair. Consequently, MDM2 has been the subject of extensive research aimed at developing novel cancer therapies. In this study, we employed a machine learning-based approach to establish a quantitative structure-activity relationship model capable of predicting the potential in vitro efficacy of small molecules as MDM2 inhibitors. Our model was used to screen 5883 FDA-approved drugs, resulting in the identification of promising hits that were subsequently evaluated using molecular docking and molecular dynamics simulations. Two antihistamine drugs, cetirizine (CZ) and rupatadine (RP), exhibited particularly favorable results in the initial in silico analyses. To further assess their potential use as the activators of the p53 pathway, we investigated the antiproliferative capability of the abovementioned drugs on human glioblastoma and neuroblastoma cell lines. Both the compounds exhibited significant antiproliferative effects on the abovementioned cell lines in a dose-dependent manner. The half-maximal inhibitory concentration (IC50) of CZ was found to be 697.87 and 941.37 μM on U87 and SH-SY5Y cell lines, respectively, while the IC50 of RP was found to be 524.28 and 617.07 μM on the same cell lines, respectively. Further investigation by quantitative reverse transcriptase polymerase chain reaction analysis revealed that the CZ-treated cell lines upregulate the expression of the p53-regulated genes involved in cell cycle arrest, apoptosis, and DNA damage response compared to their respective vehicle controls. These findings suggest that CZ activates the p53 pathway by inhibiting MDM2. Our results provide compelling preclinical evidence supporting the potential use of CZ as a modulator of the MDM2-p53 axis and its plausible repurposing for cancer treatment.
Insights
Researchers identified cetirizine (CZ) as a potential cancer treatment by repurposing an antihistamine. This drug inhibits mouse double minute 2 (MDM2), activating the tumor suppressor p53 pathway, and shows antiproliferative effects on cancer cells.
Area of Science:
- Oncology
- Pharmacology
- Computational Chemistry
Background:
- Cancer therapy requires novel agents due to treatment resistance and limitations of current modalities.
- Mouse double minute 2 (MDM2) is a crucial regulator of the tumor suppressor p53, making it a target for cancer drug development.
- Developing predictive models for small molecule efficacy against MDM2 is an active area of research.
Purpose of the Study:
- To develop a machine learning-based quantitative structure-activity relationship (QSAR) model to predict MDM2 inhibitors.
- To screen FDA-approved drugs for potential MDM2 inhibitory activity.
- To evaluate the anticancer potential of identified drug candidates, specifically cetirizine (CZ) and rupatadine (RP).
Main Methods:
- Machine learning QSAR model development for predicting MDM2 inhibition.
- Screening of 5883 FDA-approved drugs using the QSAR model.
- In silico evaluation using molecular docking and dynamics simulations.
- In vitro antiproliferative assays on glioblastoma and neuroblastoma cell lines.
- Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) to assess p53 pathway activation.
Main Results:
- The QSAR model identified cetirizine (CZ) and rupatadine (RP) as promising MDM2 inhibitors from FDA-approved drugs.
- Both CZ and RP demonstrated significant dose-dependent antiproliferative effects on U87 (glioblastoma) and SH-SY5Y (neuroblastoma) cell lines.
- CZ treatment led to the upregulation of p53-regulated genes involved in cell cycle arrest, apoptosis, and DNA damage response.
Conclusions:
- Cetirizine (CZ) exhibits significant antiproliferative activity against glioblastoma and neuroblastoma cells by activating the p53 pathway via MDM2 inhibition.
- These findings provide preclinical evidence for repurposing cetirizine as a potential cancer therapeutic agent targeting the MDM2-p53 axis.
- Further investigation into CZ as a novel cancer therapeutic is warranted.
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