Evidence map›Paper›PMID 39207627›Full record

ArticleBulletin of mathematical biology2024

p53 Orchestrates Cancer Metabolism: Unveiling Strategies to Reverse the Warburg Effect.

Roba Abukwaik, Elias Vera-Siguenza, Daniel Tennant, Fabian Spill

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Roba AbukwaikMathematics Department, King Abdulaziz University, Rabigh, Saudi Arabia. rabukwaik@kau.edu.sa.ORCID 0000-0002-4769-6231
Elias Vera-SiguenzaSchool of Mathematics, University of Birmingham, Birmingham, B15 2TS, UK.
Daniel TennantInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, B15 2TT, UK.
Fabian SpillSchool of Mathematics, University of Birmingham, Birmingham, B15 2TS, UK. f.spill@bham.ac.uk.

Funding

Cancer Research UK C42109/A24747Cancer Research UK C42109/A26982Engineering and Physical Sciences Research Council EP/N014391/2Medical Research Council MR/T043571/1
6 · The paper itself

Abstract

Cancer cells exhibit significant alterations in their metabolism, characterised by a reduction in oxidative phosphorylation (OXPHOS) and an increased reliance on glycolysis, even in the presence of oxygen. This metabolic shift, known as the Warburg effect, is pivotal in fuelling cancer's uncontrolled growth, invasion, and therapeutic resistance. While dysregulation of many genes contributes to this metabolic shift, the tumour suppressor gene p53 emerges as a master player. Yet, the molecular mechanisms remain elusive. This study introduces a comprehensive mathematical model, integrating essential p53 targets, offering insights into how p53 orchestrates its targets to redirect cancer metabolism towards an OXPHOS-dominant state. Simulation outcomes align closely with experimental data comparing glucose metabolism in colon cancer cells with wild-type and mutated p53. Additionally, our findings reveal the dynamic capability of elevated p53 activation to fully reverse the Warburg effect, highlighting the significance of its activity levels not just in triggering apoptosis (programmed cell death) post-chemotherapy but also in modifying the metabolic pathways implicated in treatment resistance. In scenarios of p53 mutations, our analysis suggests targeting glycolysis-instigating signalling pathways as an alternative strategy, whereas targeting solely synthesis of cytochrome c oxidase 2 (SCO2) does support mitochondrial respiration but may not effectively suppress the glycolysis pathway, potentially boosting the energy production and cancer cell viability.

Indexed as

Colonic NeoplasmsComputer SimulationGlycolysisMathematical ConceptsModels, BiologicalMutationOxidative PhosphorylationTumor Suppressor Protein p53Warburg Effect, OncologicApoptosisCell Line, TumorGlucoseHumansMitochondriaNeoplasmsSignal TransductionGlucoseTP53 protein, humanTumor Suppressor Protein p53Cancer metabolismGlycolysisHypoxiaMathematical biologyp53Warburg effect

Identifiers

PMID39207627
PMCPMC11362376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.