ArticleMolecular pharmaceutics2014
Re-engineered p53 chimera with enhanced homo-oligomerization that maintains tumor suppressor activity.
Article in Molecular pharmaceutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Biology of PEST-containing nuclear proteins as potential targets in ovarian cancer (Review).Oncology letters · 2026Review
- Mitochondrially Targeted p53-Bad* Fusion Gene Therapy Promotes Apoptosis in Hepatocellular Carcinoma by Pan-Bcl-2 Inhibition.Molecular pharmaceutics · 2025Article
- The Challenges and Prospects of p53-Based Therapies in Ovarian Cancer.Biomolecules · 2023Review
- p53-Bad: A Novel Tumor Suppressor/Proapoptotic Factor Hybrid Directed to the Mitochondria for Ovarian Cancer Gene Therapy.Molecular pharmaceutics · 2019Article
- Validating Molecular Dynamics Simulations against Experimental Observables in Light of Underlying Conformational Ensembles.The journal of physical chemistry. B · 2018Article
- Article
- Re-engineered p53 activates apoptosis in vivo and causes primary tumor regression in a dominant negative breast cancer xenograft model.Gene therapy · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
The use of the tumor suppressor p53 for gene therapy of cancer is limited by the dominant negative inactivating effect of mutant endogenous p53 in cancer cells. We have shown previously that swapping the tetramerization domain (TD) of p53 with the coiled-coil (CC) from Bcr allows for our chimeric p53 (p53-CC) to evade hetero-oligomerization with endogenous mutant p53. This enhances the utility of this construct, p53-CC, for cancer gene therapy. Because domain swapping to create p53-CC could result in p53-CC interacting with endogenous Bcr, which is ubiquitous in cells, modifications on the CC domain are necessary to minimize potential interactions with Bcr. Hence, we investigated the possible design of mutations that will improve homodimerization of CC mutants and disfavor hetero-oligomerization with wild-type CC (CCwt), with the goal of minimizing potential interactions with endogenous Bcr in cells. This involved integrated computational and experimental approaches to rationally design an enhanced version of our chimeric p53-CC tumor suppressor. Indeed, the resulting lead candidate p53-CCmutE34K-R55E avoids binding to endogenous Bcr and retains p53 tumor suppressor activity. Specifically, p53-CCmutE34K-R55E exhibits potent apoptotic activity in a variety of cancer cell lines, regardless of p53 status (in cells with mutant p53, wild-type p53, or p53-null cells). This construct overcomes the dominant negative effect limitation of wt p53 and has high significance for future gene therapy for treatment of cancers characterized by p53 dysfunction, which represent over half of all human cancers.
Indexed as
Identifiers
What OpenQuestion holds
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.