Gemcitabine-mediated tumour regression and p53-dependent gene expression: implications for colon and pancreatic cancer therapy

Gemcitabine is a chemotherapeutic that is widely used for the treatment of a variety of haematological malignancies and has become the standard chemotherapy for the treatment of advanced pancreatic cancer. Combinational gemcitabine regimes (e.g. with doxorubicin) are being tested in clinical trials to treat a variety of cancers, including colon cancer. The limited success of these trials has prompted us to pursue a better understanding of gemcitabine's mechanism of cell killing, which could dramatically improve the therapeutic potential of this agent. For comparison, we included gamma irradiation that triggers robust cell cycle arrest and Cr(VI), which is a highly toxic chemical that induces a robust p53-dependent apoptotic response. Gemcitabine induced a potent p53-dependent apoptosis that correlated with the accumulation of pro-apoptotic proteins such as PUMA and Bax. This is accompanied by a drastic reduction in p2l and 14-3-3 sigma protein levels, thereby significantly sensitizing the cells to apoptosis. In vitro and in vivo studies demonstrated that gemcitabine required PUMA transcription to instigate an apoptotic programme. This was in contrast to Cr(VI)-induced apoptosis that required Bax and was independent of transcription. An examination of clinical colon and pancreatic cancer tissues shows higher p53, p21, 14-3-3 sigma and Bax expression compared with matched normal tissues, yet there is a near absence of PUMA protein. This may explain why gemcitabine shows only limited efficacy in the treatment of these cancers. Our results raise the possibility that targeting the Bax-dependent cell death pathway, rather than the PUMA pathway, could result in significantly improved patient outcome and prognosis for these cancers.Fundacao para a Ciencia e a Tecnologia (FCT) [SFRH/BPD/84634/2012]; European Union [PCOFUND-GA-2009-246542]; Foundation for Science and Technology of Portugal; Canadian Institute of Health Researchinfo:eu-repo/semantics/publishedVersio

p53 tumor suppressor protein regulates the levels of huntingtin gene expression

The p53 protein is a transcription factor that integrates various cellular stress signals. The accumulation of the mutant huntingtin protein with an expanded polyglutamine tract plays a central role in the pathology of human Huntington's disease. We found that the huntingtin gene contains multiple putative p53-responsive elements and p53 binds to these elements both in vivo and in vitro. p53 activation in cultured human cells, either by a temperature-sensitive mutant p53 protein or by gamma-irradiation (?-irradiation), increases huntingtin mRNA and protein expression. Similarly, murine huntingtin also contains multiple putative p53-responsive elements and its expression is induced by p53 activation in cultured cells. Moreover, ?-irradiation, which activates p53, increases huntingtin gene expression in the striatum and cortex of mouse brain, the major pathological sites for Huntington's disease, in p53+/+ but not the isogenic p53-/- mice. These results demonstrate that p53 protein can regulate huntingtin expression at transcriptional level, and suggest that a p53 stress response could be a modulator of the process of Huntington's disease. © 2006 Nature Publishing Group. All rights reserved

Using personalized radio to enhance local music discovery

We explore the use of personalized radio to facilitate the discovery of music created by local artists. We describe a system called MegsRadio.fm that produces a customizable stream of music by both local and well-known (non-local) artists based on seed artists, tags, venues and/or location. We hypothesize that the more popular artists provide context for introducing new music by more obscure local artists. We also suggest that both the easy-to-use and serendipitous nature of the radio model are advantageous when designing a system to help individuals discover new music. Finally, we describe an interactive map that features personalized event recommendations based on the user\u27s listening history. Results from a small-scale user study indicate that users are more aware of the local music scene after using it, discover relevant local music events, and would recommend the experience to others