The Role of the Mdm2/MdmX E3 Ligase System in Carcinogenesis, and Current Chemotherapeutic Interventions: A Literature Review
Bibliographic record
Abstract
Introduction: E3 (ubiquitin) ligases play a major role in the ubiquitin-proteasome system (UPS), responsible for the ubiquitination and degradation of various proteins. The UPS has many roles, including regulation of the cell cycle. To mediate these functions, there are many different types of E3s, each with different substrates. A major E3 system involved in oncogenesis is the Mdm2/MdmX system, which acts as a heterodimer to degrade the tumour suppressor, p53, responsible for inducing cell cycle arrest and/or apoptosis in cancer cells, as needed. Upon overexpression/hyperactivation through mutation, the Mdm2/MdmX system can promote carcinogenesis through increasing degradation of p53, preventing necessary cell cycle arrest/apoptosis in cancer cells. Methods: A literature review was conducted to synthesize and analyze research on Mdm2/MdmX E3 overexpression/hyperactivation, and the treatment options available for cancers in which overexpression/hyperactivation plays a role. Results: There are many types of mutations that may be present in cancer cells, however mutations leading to the inactivation of p53 are some of the most common. Inactivation of p53 can be achieved by direct gene mutation, or overexpression/hyperactivation of Mdm2/Mdmx. Current drugs target the expression of MdmX/Mdm2 or their binding interactions with p53. Inhibition of these interactions triggers apoptosis in cancer cells due to increased p53 activity. Therapies that have been developed to target the Mdm2/MdmX system include small molecule inhibitors such as Nutlins and MI compounds, as well as peptide drugs. Discussion: Although direct mutations of p53 are commonly found in cancer, mutated p53 is not a viable drug target, so instead many treatment options specifically target a dysregulated Mdm2/MdmX system. Future studies should investigate novel drug targets, minimization of side effects, and treatment in the presence of mutations to other DNA repair systems. Conclusion: This literature review aids in establishing an interdisciplinary perspective on the types of oncogenic mutations in the Mdm2/MdmX pathway, combining biochemical and mechanistic research with clinical applications and pharmacology, as well as identifying future drug targets involved in this system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".