A Platform to Test the Therapeutic Impact of p53 Restoration
ISEF · 2025 Translational Medical Science
Overview
Cancers arise from mutations in genes regulating cell growth, with the p53 tumor suppressor gene being mutated in over 50% of cases. The p53 protein activates genes that block cell proliferation, but its mutation disrupts this function. While drugs partially reactivating mutant p53 show temporary therapeutic effects, they fail to address the genetic root of the problem. This study aimed to test the hypothesis that genetically correcting mutant p53 back to its normal, "wild type" state could block cancer cell proliferation. A platform was developed using cancer cells with inducible restoration of wild type, mutant, or corrected p53. RNA sequencing measured the expression of p53 target genes five days after restoration, revealing increased expression over time, indicating blocked proliferation. DNA sequencing and western blotting confirmed the system’s ability to detect and study p53 mutation effects. These findings support the hypothesis that p53 restoration inhibits cell proliferation and demonstrate the platform’s utility for engineering and studying p53 mutations. Future work will explore the therapeutic potential of correcting recurrent p53 mutations.
Competition history
- ISEF 2025
Resources
Related projects
ISEF · 2025
Harnessing Saccharomyces cerevisiae to Assess a Novel Genetic Circuit Targeting p53 & Mdm2 for Cancer Therapy
ISEF · 2018
A Novel Approach to a p53-Stabilizing Agent to Accelerate Cell Apoptosis and Initiate Cell Arrest and Curb Malignancy of Tumor Cells
ISEF · 2014
Characterization of Gene Expression in p53 Activated Tumor-Initiating Cells
ISEF · 2020
Compounds that Facilitate the Reactivation of Mutant P53 into Wildtype
ISEF · 2015
Advancing the Cancer Stem Cell Approach for Early Tumorigenesis: Delineation of p53 Pathways in Differentially Expressed Tumor-Initiating Cells
ISEF · 2017
A Novel Approach to Understanding Cancer: The Effects of Antitumor Agents in P53 Gene Expression on the Early Development of Zebrafish Embryos
ISEF · 2019
Using Machine Learning Techniques to Detect Mutant p53 Transcriptional Activity
ISEF · 2025
Targeting TP53 Methylation Inhibition With RG108 for Cancer Prevention
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: Regeneron International Science and Engineering Fair