2013
DOI: 10.1042/bsr20130066
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How does the metabolism of tumour cells differ from that of normal cells

Abstract: Tumour cells thrive in environments that would be hostile to their normal cell counterparts. Survival depends on the selection of cell lines that harbour modifications of both, gene regulation that shifts the balance between the cell cycle and apoptosis and those that involve the plasticity of the metabolic machinery. With regards to metabolism, the selected phenotypes usually display enhanced anaerobic glycolysis even in the presence of oxygen, the so-called Warburg effect, and anabolic pathways that provide … Show more

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Cited by 70 publications
(58 citation statements)
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“…It is known that the metabolic needs and intracellular signaling profiles of tumor cells differ from those of normal cells [50], and one or more compounds within AHCC might exploit this to effect Caspase-3-mediated apoptosis. Alternatively, tumor cells may express more AHCC-binding molecules and thereby bind one or more of the AHCC components.…”
Section: Discussionmentioning
confidence: 99%
“…It is known that the metabolic needs and intracellular signaling profiles of tumor cells differ from those of normal cells [50], and one or more compounds within AHCC might exploit this to effect Caspase-3-mediated apoptosis. Alternatively, tumor cells may express more AHCC-binding molecules and thereby bind one or more of the AHCC components.…”
Section: Discussionmentioning
confidence: 99%
“…Cancer cells need rapid ATP generation to maintain energy status, as well as an increase in the biosynthesis of macromolecules and the NADPH to maintain redox status (42). Tumor cells have a high glucose uptake through increased expression of GLUT transporters (5). Glucose upon entering the cell is phosphorylated by hexokinase forming glucose-6-phosphate.…”
Section: Discussionmentioning
confidence: 99%
“…The high collision energy (HCD) with MS/MS collision energies was set at 30 V and stepped NCE at 12.0%, nitrogen as the collision gas, and MS/MS spectra acquisition over a range of m/z values dependent on the precursor ion. Dynamic exclusion was set such that MS/MS for each precursor ion species was excluded for 4 s, under a fill ratio of 2.0%, an intensity threshold of 1.7e 5 , and an apex trigger of 2-5 s. All spectra were recorded in profile mode for further processing and analysis. Data Analysis-MS and MS/MS data analysis were carried out using Proteome Discoverer 1.4 software (version 1.4.0.288; Thermo Fisher Scientific) template that used both the Sequest search engine and an in-house Mascot 2.4.0 server (Matrix Science, London, UK).…”
Section: Methodsmentioning
confidence: 99%
“…Many types of cancer result from significant changes in amino acid sequence due to metabolic changes in tumor cells [8]. The role of amino acids in cancer prevention is explored by scientists, and the use of these amino acid supplements is the part of alternative therapy which may helps slow progression of cancer.…”
Section: Introductionmentioning
confidence: 99%