Triptolide, a natural product derived from the Chinese plant Tripterygium wilfordii, is reported to exhibit antitumor effects in a broad range of cancers. The antitumor activity of triptolide is associated with its biological activities, as it inhibits various pro-proliferative or anti-apoptotic factors that are dominantly expressed in given types of cancer cells. Herein, we demonstrate that triptolide induced apoptosis in a subgroup of acute lymphoblastic leukemia (ALL) cells overexpressing the MDM2 oncoprotein, by inhibiting MDM2 expression. More specifically, we found that triptolide inhibited MDM2 at the transcriptional level by suppressing its mRNA synthesis. This MDM2 inhibition led in turn to increased levels of p53 protein; however, p53 functionality was not activated, due to the fact that triptolide-treated cells lacked induction of p21 and PUMA as well as in G1 cell-cycle arrest. Triptolide-mediated downregulation of MDM2 increased inhibition of XIAP, its translational target, in a manner distinct from reactions to cellular stress and DNA-damaging agent ionizing radiation (IR) that induce XIAP due to p53-activated MDM2. These results suggest that increased inhibition of XIAP due to downregulation of MDM2 may play a critical role in triptolide-induced apoptosis in MDM2-overexpressing cancers.

Inactivation of the tumor suppressor Ras-association domain family 1 isoform A (RASSF1A) due to epigenetic silencing occurs in a variety of human cancers, and still largely unknown are the regulators and mechanisms underlying RASSF1A gene promoter methylation. Herein, we report that this methylation is regulated by p53 and death-associated protein 6 (DAXX) in acute lymphoblastic leukemia (ALL). We found that p53 bound to the RASSF1A promoter, recruiting DAXX as well as DNA methyltransferase 1 (DNMT1) for DNA methylation, which subsequently resulted in inactivation of RASSF1A in wild-type p53 ALL cells. Although the presence of p53 was required for the recruitment of DAXX and DNMT1 to the RASSF1A promoter, fluctuation in p53 protein levels did not affect the rates of RASSF1A methylation. Conversely, methylation of RASSF1A promoter was critically controlled by DAXX, as the enforced overexpression of DAXX led to enhanced RASSF1A promoter methylation, whereas inhibition of DAXX reduced RASSF1A methylation. Interestingly, we found that the p53/DAXX-mediated RASSF1A methylation regulated murine double minute 2 (MDM2) protein stability in ALL. Our results reveal a novel function for p53 in the methylation of RASSF1A promoter by its interaction with DAXX. Discovery of this mechanism provides new insight into the interactions among the tumor-related factors p53, RASSF1A, DAXX, and MDM2 in cancer pathogenesis.

DAXX is a multifunctional protein that regulates a wide range of cellular signaling pathways for both cell survival and apoptosis. Regulation of DAXX gene expression remains largely obscure. We recently reported that berberine (BBR), a natural product derived from a plant used in Chinese herbal medicine, downregulates DAXX expression at the transcriptional level. Here, we further investigate the mechanisms underlying the transcriptional suppression of DAXX by BBR. By analyzing and mapping the putative DAXX gene promoter, we identified the core promoter region (from −161 to −1), which contains consensus sequences for the transcriptional factors Sp1 and Ets1. We confirmed that Sp1 and Ets1 bound to the core promoter region of DAXX and stimulated DAXX transcriptional activity. In contrast, BBR bound to the DAXX core promoter region and suppressed its transcriptional activity. Following studies demonstrated a possible mechanism that BBR inhibited the DAXX promoter activity through blocking or disrupting the association of Sp1 or Ets1 and their consensus sequences in the promoter. Downregulation of DAXX by BBR resulted in inhibition of MDM2 and subsequently, activation of p53, leading to cancer cell death. Our results reveal a novel possible mechanism: by competitively binding to the Sp1 and Ets1 consensus sequences, BBR inhibits the transcription of DAXX, thus inducing cancer cell apoptosis through a p53-dependent pathway.

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BackgroundThe insulin-like growth factor (IGF) system impacts cell proliferation and is highly activated in ovarian cancer. While an attractive therapeutic target, the IGF system is complex with two receptors (IGF1R, IGF2R), two ligands (IGF1, IGF2), and at least six high affinity IGF-binding proteins (IGFBPs) that regulate the bioavailability of IGF ligands. We hypothesized that a quantitative balance between these different network components regulated cell response.ResultsOVCAR5, an immortalized ovarian cancer cell line, were found to be sensitive to IGF1, with the dose of IGF1 (i.e., the total mass of IGF1 available) a more reliable predictor of cell response than ligand concentration. The applied dose of IGF1 was depleted by both cell-secreted IGFBPs and endocytic trafficking, with IGFBPs sequestering up to 90% of the available ligand. To explore how different variables (i.e., IGF1, IGFBPs, and IGF1R levels) impacted cell response, a mass-action steady-state model was developed. Examination of the model revealed that the level of IGF1-IGF1R complexes per cell was directly proportional to the extent of proliferation induced by IGF1. Model analysis suggested, and experimental results confirmed, that IGFBPs present during IGF1 treatment significantly decreased IGF1-mediated proliferation. We utilized this model to assess the efficacy of IGF1 and IGF1R antibodies against different network compositions and determined that IGF1R antibodies were more globally effective due to the receptor-limited state of the network.ConclusionsChanges that affect IGF1R occupancy have predictable effects on IGF1-induced proliferation and our model captured these effects. Analysis of this model suggests that IGF1R antibodies will be more effective than IGF1 antibodies, although the difference was minimal in conditions with low levels of IGF1 and IGFBPs. Examining how different components of the IGF system influence cell response will be critical to improve our understanding of the IGF signaling network in ovarian cancer.