ΔNp73β is oncogenic in hepatocellular carcinoma by blocking apoptosis signaling via death receptors and mitochondria
ΔNp73β is oncogenic in hepatocellular carcinoma by blocking apoptosis signaling via death receptors and mitochondria
p73 belongs to the p53 family of transcription factors known to regulate cell cycle and apoptosis. The Trp73 gene has two promoters that drive the expression of two major p73 isoform subfamilies: TA and ΔN. In general, TAp73 isoforms show proapoptotic activities, whereas members of the N-terminally truncated (ΔN) p73 subfamily that lack the transactivation domain show antiapoptotic functions. We found that upregulation of ΔNp73 in hepatocellular carcinoma (HCC) correlated with reduced survival. Here, we investigated the molecular mechanisms accounting for the oncogenic role of ΔNp73 in HCC.ΔNp73β can directly interfere with the transcriptional activation function of the TA (containing the transactivation domain) isoforms of the p53 family and consequently inhibit transactivation of proapoptotic target genes. Interference of ΔNp73β with apoptosis-/chemosensitivity takes place at several levels of apoptosis signaling. ΔNp73β negatively regulates the genes encoding for the death receptors CD95, TNF-R1, TRAIL-R2 and TNFRSF18. Furthermore, ΔNp73β represses the genes encoding caspase-2, -3, -6, -8 and -9. Concomitantly, ΔNp73β inhibits apoptosis emanating from mitochondria.Thus, ΔNp73 expression in HCC selects against both the death receptor and the mitochondrial apoptosis activity of the TA isoforms. Our data suggest that ΔNp73 isoforms repress apoptosis-related genes of the extrinsic and intrinsic apoptosis signaling pathways thereby contributing to chemoresistance. The clinical importance of these data is evidenced by our finding that the ΔNp73ß target gene signature can predict the prognosis of patients suffering from HCC.
- National Institute of Health Pakistan
- Helmholtz Association of German Research Centres Germany
- University of Rome Tor Vergata Italy
- Roma Tre University Italy
- Johannes Gutenberg University of Mainz Germany
Carcinoma, Hepatocellular, Molecular Sequence Data, Apoptosis, Models, Biological, Cell Line, Tumor, Humans, Genes, Dominant, Oligonucleotide Array Sequence Analysis, Settore BIO/11 - BIOLOGIA MOLECOLARE, Base Sequence, Gene Expression Profiling, Liver Neoplasms, Nuclear Proteins, Apoptosis, Base Sequence, Carcinoma; Hepatocellular; diagnosis/genetics/pathology, Caspases; metabolism, Cell Line; Tumor, DNA-Binding Proteins; metabolism, Drug Resistance; Neoplasm, Enzyme Activation, Gene Expression Profiling, Gene Expression Regulation; Neoplastic, Genes; Dominant; genetics, Humans, Liver Neoplasms; diagnosis/genetics/pathology, Mitochondria; enzymology/metabolism, Models; Biological, Molecular Sequence Data, Nuclear Proteins; metabolism, Oligonucleotide Array Sequence Analysis, Precancerous Conditions; genetics/metabolism/pathology, Prognosis, Protein Isoforms; metabolism, Receptors; Death Domain; metabolism, Signal Transduction, Tumor Suppressor Protein p53; metabolism, Tumor Suppressor Proteins; metabolism, bcl-2-Associated X Protein; genetics/metabolism, Prognosis, Mitochondria, DNA-Binding Proteins, Enzyme Activation, Gene Expression Regulation, Neoplastic, Drug Resistance, Neoplasm, Caspases, Precancerous Conditions
Carcinoma, Hepatocellular, Molecular Sequence Data, Apoptosis, Models, Biological, Cell Line, Tumor, Humans, Genes, Dominant, Oligonucleotide Array Sequence Analysis, Settore BIO/11 - BIOLOGIA MOLECOLARE, Base Sequence, Gene Expression Profiling, Liver Neoplasms, Nuclear Proteins, Apoptosis, Base Sequence, Carcinoma; Hepatocellular; diagnosis/genetics/pathology, Caspases; metabolism, Cell Line; Tumor, DNA-Binding Proteins; metabolism, Drug Resistance; Neoplasm, Enzyme Activation, Gene Expression Profiling, Gene Expression Regulation; Neoplastic, Genes; Dominant; genetics, Humans, Liver Neoplasms; diagnosis/genetics/pathology, Mitochondria; enzymology/metabolism, Models; Biological, Molecular Sequence Data, Nuclear Proteins; metabolism, Oligonucleotide Array Sequence Analysis, Precancerous Conditions; genetics/metabolism/pathology, Prognosis, Protein Isoforms; metabolism, Receptors; Death Domain; metabolism, Signal Transduction, Tumor Suppressor Protein p53; metabolism, Tumor Suppressor Proteins; metabolism, bcl-2-Associated X Protein; genetics/metabolism, Prognosis, Mitochondria, DNA-Binding Proteins, Enzyme Activation, Gene Expression Regulation, Neoplastic, Drug Resistance, Neoplasm, Caspases, Precancerous Conditions
5 Research products, page 1 of 1
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2018IsRelatedTo
- 2017IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
