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.
    ###
    INPUT: High glycolysis , well known as " Warburg effect, " is frequently observed in a variety of cancers . Whether the deregulation of miRNAs contributes to the Warburg effect remains largely unknown . Because miRNA regulates gene expression at both mRNA and protein levels , we constructed a gene functional association network , which allows us to detect the gene activity instead of gene expression , to integratively analyze the microarray data for gene expression and miRNA expression profiling and identify glycolysis-related gene-miRNA pairs deregulated in cancer . Hexokinase 2 ( HK2 ) , coding for the first rate-limiting enzyme of glycolysis , is among the top list of genes predicted and potentially regulated by multiple miRNAs including miR-143 . Interestingly , miR-143 expression was inversely associated with HK2 protein level but not mRNA level in human lung cancer samples. miR-143 , down-regulated by mammalian target of rapamycin activation , reduces glucose metabolism and inhibits cancer cell proliferation and tumor formation through targeting HK2 . Collectively , we have not only established a novel methodology for gene-miRNA pair prediction but also identified miR-143 as an essential regulator of cancer glycolysis via targeting HK2 .
    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: High glycolysis , well known as " Warburg effect, " is frequently observed in a variety of cancers . Whether the deregulation of miRNAs contributes to the Warburg effect remains largely unknown . Because miRNA regulates gene expression at both mRNA and protein levels , we constructed a gene functional association network , which allows us to detect the gene activity instead of gene expression , to integratively analyze the microarray data for gene expression and miRNA expression profiling and identify glycolysis-related gene-miRNA pairs deregulated in cancer . Hexokinase 2 ( HK2 ) , coding for the first rate-limiting enzyme of glycolysis , is among the top list of genes predicted and potentially regulated by multiple miRNAs including miR-143 . Interestingly , miR-143 expression was inversely associated with HK2 protein level but not mRNA level in human lung cancer samples. miR-143 , down-regulated by mammalian target of rapamycin activation , reduces glucose metabolism and inhibits cancer cell proliferation and tumor formation through targeting HK2 . Collectively , we have not only established a novel methodology for gene-miRNA pair prediction but also identified miR-143 as an essential regulator of cancer glycolysis via targeting HK2 .
    OUTPUT:
