ArticleStem cell reports2016
Oncometabolic Nuclear Reprogramming of Cancer Stemness.
Article in Stem cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
24 citing papers in PubMed.
- The crosstalk between epigenetics and metabolism in the malignant cell.Discover oncology · 2026Review
- Fatty acid synthase (FASN) signalome: A molecular guide for precision oncology.Molecular oncology · 2024Article
- Metabostemness in cancer: Linking metaboloepigenetics and mitophagy in remodeling cancer stem cells.Stem cell reviews and reports · 2022Review
- Hypoxia-Driven Oncometabolite L-2HG Maintains Stemness-Differentiation Balance and Facilitates Immune Evasion in Pancreatic Cancer.Cancer research · 2021Article
- Bivalent chromatin as a therapeutic target in cancer: An in silico predictive approach for combining epigenetic drugs.PLoS computational biology · 2021Article
- Article
- Oncometabolites and the response to radiotherapy.Radiation oncology (London, England) · 2020Review
- Tumor Cell-Intrinsic Immunometabolism and Precision Nutrition in Cancer Immunotherapy.Cancers · 2020Article
- Metformin: Sentinel of the Epigenetic Landscapes That Underlie Cell Fate and Identity.Biomolecules · 2020Review
- Impact of theCancers · 2020Article
- Metabolic Dysregulations and Epigenetics: A Bidirectional Interplay that Drives Tumor Progression.Cells · 2019Review
- A multiscale model of epigenetic heterogeneity-driven cell fate decision-making.PLoS computational biology · 2019Article
- Role of cellular reprogramming and epigenetic dysregulation in acquired chemoresistance in breast cancer.Cancer drug resistance (Alhambra, Calif.) · 2019Review
- Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality.Oncotarget · 2018Article
- Epigenetic regulation of cell fate reprogramming in aging and disease: A predictive computational model.PLoS computational biology · 2018Article
- Article
- Article
- Mitostemness.Cell cycle (Georgetown, Tex.) · 2018Review
- Metabolomic mapping of cancer stem cells for reducing and exploiting tumor heterogeneity.Oncotarget · 2017Article
- Cancer cell-soluble factors reprogram mesenchymal stromal cells to slow cycling, chemoresistant cells with a more stem-like state.Stem cell research & therapy · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
By impairing histone demethylation and locking cells into a reprogramming-prone state, oncometabolites can partially mimic the process of induced pluripotent stem cell generation. Using a systems biology approach, combining mathematical modeling, computation, and proof-of-concept studies with live cells, we found that an oncometabolite-driven pathological version of nuclear reprogramming increases the speed and efficiency of dedifferentiating committed epithelial cells into stem-like states with only a minimal core of stemness transcription factors. Our biomathematical model, which introduces nucleosome modification and epigenetic regulation of cell differentiation genes to account for the direct effects of oncometabolites on nuclear reprogramming, demonstrates that oncometabolites markedly lower the "energy barriers" separating non-stem and stem cell attractors, diminishes the average time of nuclear reprogramming, and increases the size of the basin of attraction of the macrostate occupied by stem cells. These findings establish the concept of oncometabolic nuclear reprogramming of stemness as a bona fide metabolo-epigenetic mechanism for generation of cancer stem-like cells.
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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.