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: In human epithelial cancers , the microRNA ( miRNA ) mir-30d is amplified with high frequency and serves as a critical oncomir by regulating metastasis , apoptosis , proliferation , and differentiation . Autophagy , a degradation pathway for long-lived protein and organelles , regulates the survival and death of many cell types . Increasing evidence suggests that autophagy plays an important function in epithelial tumor initiation and progression . Using a combined bioinformatics approach , gene set enrichment analysis and miRNA target prediction , we found that mir-30d might regulate multiple genes in the autophagy pathway including BECN1 , BNIP3L , ATG12 , ATG5 , ATG2 . Our further functional experiments demonstrated that the expression of these core proteins in the autophagy pathway was directly suppressed by mir-30d in cancer cells . Finally , we showed that mir-30d regulated the autophagy process by inhibiting autophagosome formation and LC3B-I conversion to LC3B-II . Taken together , our results provide evidence that the oncomir mir-30d impairs the autophagy process by targeting multiple genes in the autophagy pathway . This result will contribute to understanding the molecular mechanism of mir-30d in tumorigenesis and developing novel cancer therapy strategy .
    OUTPUT:

agent
resisting cell death
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: In human epithelial cancers , the microRNA ( miRNA ) mir-30d is amplified with high frequency and serves as a critical oncomir by regulating metastasis , apoptosis , proliferation , and differentiation . Autophagy , a degradation pathway for long-lived protein and organelles , regulates the survival and death of many cell types . Increasing evidence suggests that autophagy plays an important function in epithelial tumor initiation and progression . Using a combined bioinformatics approach , gene set enrichment analysis and miRNA target prediction , we found that mir-30d might regulate multiple genes in the autophagy pathway including BECN1 , BNIP3L , ATG12 , ATG5 , ATG2 . Our further functional experiments demonstrated that the expression of these core proteins in the autophagy pathway was directly suppressed by mir-30d in cancer cells . Finally , we showed that mir-30d regulated the autophagy process by inhibiting autophagosome formation and LC3B-I conversion to LC3B-II . Taken together , our results provide evidence that the oncomir mir-30d impairs the autophagy process by targeting multiple genes in the autophagy pathway . This result will contribute to understanding the molecular mechanism of mir-30d in tumorigenesis and developing novel cancer therapy strategy .
    OUTPUT:
