ArticleFrontiers in physiology2012
Cancer cell growth and survival as a system-level property sustained by enhanced glycolysis and mitochondrial metabolic remodeling.
Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 42 citations in OpenAlex.
- Endotoxin's Impact on Organism: From Immune Activation to Tolerance and Beyond.Journal of clinical medicine · 2025Review
- Bibliometric analysis of glycolysis and prostate cancer research from 2004 to 2024.Discover oncology · 2025Article
- Oxygen and Iron Availability Shapes Metabolic Adaptations of Cancer Cells.World journal of oncology · 2024Review
- TFEB inhibition induces melanoma shut-down by blocking the cell cycle and rewiring metabolism.Cell death & disease · 2023Article
- Review
- Oncogenic K-ras Induces Mitochondrial OPA3 Expression to Promote Energy Metabolism in Pancreatic Cancer Cells.Cancers · 2019Article
- A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect.PLoS computational biology · 2017Article
- Glutamine Transport and Mitochondrial Metabolism in Cancer Cell Growth.Frontiers in oncology · 2017Review
- Computational Model Predicts the Effects of Targeting Cellular Metabolism in Pancreatic Cancer.Frontiers in physiology · 2017Article
- Metabolic reprogramming and dysregulated metabolism: cause, consequence and/or enabler of environmental carcinogenesis?Carcinogenesis · 2015Review
- NOX1 supports the metabolic remodeling of HepG2 cells.PloS one · 2015Article
- Glucose starvation induces cell death in K-ras-transformed cells by interfering with the hexosamine biosynthesis pathway and activating the unfolded protein response.Cell death & disease · 2013Article
- Mitochondrial complex I inhibitors and forced oxidative phosphorylation synergize in inducing cancer cell death.International journal of cell biology · 2013Article
- Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems Biology holds that complex cellular functions are generated as system-level properties endowed with robustness, each involving large networks of molecular determinants, generally identified by "omics" analyses. In this paper we describe four basic cancer cell properties that can easily be investigated in vitro: enhanced proliferation, evasion from apoptosis, genomic instability, and inability to undergo oncogene-induced senescence. Focusing our analysis on a K-ras dependent transformation system, we show that enhanced proliferation and evasion from apoptosis are closely linked, and present findings that indicate how a large metabolic remodeling sustains the enhanced growth ability. Network analysis of transcriptional profiling gives the first indication on this remodeling, further supported by biochemical investigations and metabolic flux analysis (MFA). Enhanced glycolysis, down-regulation of TCA cycle, decoupling of glucose and glutamine utilization, with increased reductive carboxylation of glutamine, so to yield a sustained production of growth building blocks and glutathione, are the hallmarks of enhanced proliferation. Low glucose availability specifically induces cell death in K-ras transformed cells, while PKA activation reverts this effect, possibly through at least two mitochondrial targets. The central role of mitochondria in determining the two investigated cancer cell properties is finally discussed. Taken together the findings reported herein indicate that a system-level property is sustained by a cascade of interconnected biochemical pathways that behave differently in normal and in transformed 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.