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: We have recently proposed a new two-compartment model for understanding the Warburg effect in tumor metabolism . In this model , glycolytic stromal cells produce mitochondrial fuels ( L-lactate and ketone bodies ) that are then transferred to oxidative epithelial cancer cells , driving OXPHOS and mitochondrial metabolism . Thus , stromal catabolism fuels anabolic tumor growth via energy transfer . We have termed this new cancer paradigm the " reverse Warburg effect, " because stromal cells undergo aerobic glycolysis , rather than tumor cells . To assess whether this mechanism also applies during cancer cell metastasis , we analyzed the bioenergetic status of breast cancer lymph node metastases , by employing a series of metabolic protein markers . For this purpose , we used MCT4 to identify glycolytic cells . Similarly , we used TO MM20 and COX staining as markers of mitochondrial mass and OXPHOS activity , respectively . Consistent with the " reverse Warburg effect, " our results indicate that metastatic breast cancer cells amplify oxidative mitochondrial metabolism ( OXPHOS ) and that adjacent stromal cells are glycolytic and lack detectable mitochondria . Glycolytic stromal cells included cancer-associated fibroblasts , adipocytes and inflammatory cells . Double labeling experiments with glycolytic ( MCT4 ) and oxidative ( TO MM20 or COX ) markers directly shows that at least two different metabolic compartments co-exist , side-by-side , within primary tumors and their metastases . Since cancer-associated immune cells appeared glycolytic , this observation may also explain how inflammation literally " fuels " tumor progression and metastatic dissemination , by " feeding " mitochondrial metabolism in cancer cells . Finally , MCT4(+) and TO MM20(-) " glycolytic " cancer cells were rarely observed , indicating that the conventional " Warburg effect " does not frequently occur in cancer-positive lymph node metastases .
    OUTPUT:

agent
activating invasion and metastasis;cellular energetics;tumor promoting inflammation
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: We have recently proposed a new two-compartment model for understanding the Warburg effect in tumor metabolism . In this model , glycolytic stromal cells produce mitochondrial fuels ( L-lactate and ketone bodies ) that are then transferred to oxidative epithelial cancer cells , driving OXPHOS and mitochondrial metabolism . Thus , stromal catabolism fuels anabolic tumor growth via energy transfer . We have termed this new cancer paradigm the " reverse Warburg effect, " because stromal cells undergo aerobic glycolysis , rather than tumor cells . To assess whether this mechanism also applies during cancer cell metastasis , we analyzed the bioenergetic status of breast cancer lymph node metastases , by employing a series of metabolic protein markers . For this purpose , we used MCT4 to identify glycolytic cells . Similarly , we used TO MM20 and COX staining as markers of mitochondrial mass and OXPHOS activity , respectively . Consistent with the " reverse Warburg effect, " our results indicate that metastatic breast cancer cells amplify oxidative mitochondrial metabolism ( OXPHOS ) and that adjacent stromal cells are glycolytic and lack detectable mitochondria . Glycolytic stromal cells included cancer-associated fibroblasts , adipocytes and inflammatory cells . Double labeling experiments with glycolytic ( MCT4 ) and oxidative ( TO MM20 or COX ) markers directly shows that at least two different metabolic compartments co-exist , side-by-side , within primary tumors and their metastases . Since cancer-associated immune cells appeared glycolytic , this observation may also explain how inflammation literally " fuels " tumor progression and metastatic dissemination , by " feeding " mitochondrial metabolism in cancer cells . Finally , MCT4(+) and TO MM20(-) " glycolytic " cancer cells were rarely observed , indicating that the conventional " Warburg effect " does not frequently occur in cancer-positive lymph node metastases .
    OUTPUT:
