ArticleiScience2020
Uncovering the Underlying Mechanisms of Cancer Metabolism through the Landscapes and Probability Flux Quantifications.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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.
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Who cites it
21 citing papers in PubMed, 29 citations in OpenAlex.
- Beyond the Warburg Effect: Modeling the Dynamic and Context-Dependent Nature of Tumor Metabolism.Cancers · 2025Article
- Identifying early warning signals of cancer formation.Quantitative biology (Beijing, China) · 2025Article
- Modelling the Impact of HIF on Metabolism and the Extracellular Matrix: Consequences for Tumour Growth and Invasion.Bulletin of mathematical biology · 2025Article
- A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation.NPJ systems biology and applications · 2024Article
- Oncometabolites at the crossroads of genetic, epigenetic and ecological alterations in cancer.Cell death and differentiation · 2024Review
- Inertial effect of cell state velocity on the quiescence-proliferation fate decision.NPJ systems biology and applications · 2024Article
- Review
- Understanding underlying physical mechanism reveals early warning indicators and key elements for adaptive infections disease networks.PNAS nexus · 2024Article
- A Strategy Utilizing Protein-Protein Interaction Hubs for the Treatment of Cancer Diseases.International journal of molecular sciences · 2023Review
- Identification and subsequent validation of transcriptomic signature associated with metabolic status in endometrial cancer.Scientific reports · 2023Article
- MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis.bioRxiv : the preprint server for biology · 2023Article
- MYC disrupts transcriptional and metabolic circadian oscillations in cancer and promotes enhanced biosynthesis.PLoS genetics · 2023Article
- Metabolic Oscillations and Glycolytic Phenotypes of Cancer Cells.International journal of molecular sciences · 2023Article
- How Warburg-Associated Lactic Acidosis Rewires Cancer Cell Energy Metabolism to Resist Glucose Deprivation.Cancers · 2023Review
- Searching for the Metabolic Signature of Cancer: A Review from Warburg's Time to Now.Biomolecules · 2022Review
- Data mining and mathematical models in cancer prognosis and prediction.Medical review (2021) · 2022Review
- Perspectives on the landscape and flux theory for describing emergent behaviors of the biological systems.Journal of biological physics · 2022Review
- AMPK-Mediated Metabolic Switching Is High Effective for Phytochemical Levo-Tetrahydropalmatine (l-THP) to Reduce Hepatocellular Carcinoma Tumor Growth.Metabolites · 2021Article
- Physical bioenergetics: Energy fluxes, budgets, and constraints in cells.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer metabolism is critical for understanding the mechanism of tumorigenesis, yet the understanding is still challenging. We studied gene-metabolism regulatory interactions and quantified the global driving forces for cancer-metabolism dynamics as the underlying landscape and probability flux. We uncovered four steady-state attractors: a normal state attractor, a cancer OXPHOS state attractor, a cancer glycolysis state attractor, and an intermediate cancer state attractor. We identified the key regulatory interactions through global sensitivity analysis based on the landscape topography. Different landscape topographies of glycolysis switch between normal cells and cancer cells were identified. We uncovered that the normal state to cancer state transformation is associated with the peaks of the probability flux and the thermodynamic dissipation, giving dynamical and thermodynamic origin of cancer formation. We found that cancer metabolism oscillations consume more energy to support cancer malignancy. This study provides a quantitative understanding of cancer metabolism and suggests a metabolic therapeutic strategy.
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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.