ArticleScientific reports2013
Metabolic and protein interaction sub-networks controlling the proliferation rate of cancer cells and their impact on patient survival.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Induction of ferroptosis and apoptosis in endometrial cancer cells by dihydroisotanshinone I.Heliyon · 2023Article
- Towards the routine use of in silico screenings for drug discovery using metabolic modelling.Biochemical Society transactions · 2020Review
- Fatty Acid Synthesis and Degradation Interplay to Regulate the Oxidative Stress in Cancer Cells.International journal of molecular sciences · 2019Article
- Constraint based modeling of metabolism allows finding metabolic cancer hallmarks and identifying personalized therapeutic windows.Oncotarget · 2018Article
- Article
- Danshen improves survival of patients with advanced lung cancer and targeting the relationship between macrophages and lung cancer cells.Oncotarget · 2017Article
- Transcriptional hallmarks of cancer cell lines reveal an emerging role of branched chain amino acid catabolism.Scientific reports · 2017Article
- G-DOC Plus - an integrative bioinformatics platform for precision medicine.BMC bioinformatics · 2016Article
- A link between lipid metabolism and epithelial-mesenchymal transition provides a target for colon cancer therapy.Oncotarget · 2015Article
- Modeling cancer metabolism on a genome scale.Molecular systems biology · 2015Review
- Cancer Metabolism: A Modeling Perspective.Frontiers in physiology · 2015Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer cells can have a broad scope of proliferation rates. Here we aim to identify the molecular mechanisms that allow some cancer cell lines to grow up to 4 times faster than other cell lines. The correlation of gene expression profiles with the growth rate in 60 different cell lines has been analyzed using several genome-scale biological networks and new algorithms. New possible regulatory feedback loops have been suggested and the known roles of several cell cycle related transcription factors have been confirmed. Over 100 growth-correlated metabolic sub-networks have been identified, suggesting a key role of simultaneous lipid synthesis and degradation in the energy supply of the cancer cells growth. Many metabolic sub-networks involved in cell line proliferation appeared also to correlate negatively with the survival expectancy of colon cancer patients.
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