human
The task is to decide the Hallmarks of Cancer (HOC) taxonomy of the article based on its abstract. The input is an abstract text. There are 10 topics you will need to decide whether the article is related to. Topics: sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, activating invasion and metastasis, genomic instability and mutation, tumor promoting inflammation, cellular energetics, avoiding immune destruction. The output should be topics from the above 10 topics, that are related to the input article. Please note one article can be related to multiple topics. Output format: provide a semicolon-separated list of relevant topics.
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    INPUT: Bioenergetic profiling of tumors is a new challenge of cancer research and medicine as therapies are currently being developed . Meanwhile , methodological means must be proposed to gather information on tumor metabolism in order to adapt these potential therapies to the bioenergetic specificities of tumors . Studies performed on tumors and cancer cell lines have shown that cancer cells bioenergetics is highly variable . This profile changes with microenvironmental conditions ( eg. substrate availability ) , the oncogenes activated ( and the tumor suppressors inactivated ) and the interaction with the stroma ( i.e. reverse Warburg effect ) . Here , we assessed the power of metabolic footprinting ( MFP ) to unravel the bioenergetics and associated anabolic changes induced by three oncogenes , c-Myc , KLF4 and Oct1 . The MFP approach provides a quantitative analysis of the metabolites secreted and consumed by cancer cells . We used ultra performance liquid chromatography for quantifying the amino acid uptake and secretion . To investigate the potential oncogene-mediated alterations in mitochondrial metabolism , we measured oxygen consumption rate and ATP production as well as the glucose uptake and lactate release . Our findings show that c-Myc deficiency initiates the Warburg effect along with a reduction of mitochondrial respiration . KLF4 deficiency also stimulated glycolysis , albeit without cellular respiration impairment . In contrast , Oct1 deficiency reduced glycolysis and enhanced oxidative phosphorylation efficiency . MFP revealed that c-Myc , KLF4 and Oct1 altered amino acid metabolism with specific patterns . We identified isoleucine , Î±-aminoadipic acid and GABA ( Î³-aminoisobutyric acid ) as biomarkers related . Our findings establish the impact of Oct1 , KLF4 and c-Myc on cancer bioenergetics and evidence a link between oncosecretomics and cellular bioenergetics profile .
    OUTPUT:

agent
cellular energetics
The task is to decide the Hallmarks of Cancer (HOC) taxonomy of the article based on its abstract. The input is an abstract text. There are 10 topics you will need to decide whether the article is related to. Topics: sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, activating invasion and metastasis, genomic instability and mutation, tumor promoting inflammation, cellular energetics, avoiding immune destruction. The output should be topics from the above 10 topics, that are related to the input article. Please note one article can be related to multiple topics. Output format: provide a semicolon-separated list of relevant topics.
    ###
    INPUT: Bioenergetic profiling of tumors is a new challenge of cancer research and medicine as therapies are currently being developed . Meanwhile , methodological means must be proposed to gather information on tumor metabolism in order to adapt these potential therapies to the bioenergetic specificities of tumors . Studies performed on tumors and cancer cell lines have shown that cancer cells bioenergetics is highly variable . This profile changes with microenvironmental conditions ( eg. substrate availability ) , the oncogenes activated ( and the tumor suppressors inactivated ) and the interaction with the stroma ( i.e. reverse Warburg effect ) . Here , we assessed the power of metabolic footprinting ( MFP ) to unravel the bioenergetics and associated anabolic changes induced by three oncogenes , c-Myc , KLF4 and Oct1 . The MFP approach provides a quantitative analysis of the metabolites secreted and consumed by cancer cells . We used ultra performance liquid chromatography for quantifying the amino acid uptake and secretion . To investigate the potential oncogene-mediated alterations in mitochondrial metabolism , we measured oxygen consumption rate and ATP production as well as the glucose uptake and lactate release . Our findings show that c-Myc deficiency initiates the Warburg effect along with a reduction of mitochondrial respiration . KLF4 deficiency also stimulated glycolysis , albeit without cellular respiration impairment . In contrast , Oct1 deficiency reduced glycolysis and enhanced oxidative phosphorylation efficiency . MFP revealed that c-Myc , KLF4 and Oct1 altered amino acid metabolism with specific patterns . We identified isoleucine , Î±-aminoadipic acid and GABA ( Î³-aminoisobutyric acid ) as biomarkers related . Our findings establish the impact of Oct1 , KLF4 and c-Myc on cancer bioenergetics and evidence a link between oncosecretomics and cellular bioenergetics profile .
    OUTPUT:
