tumor

Download podcast: http://itunes.apple.com/us/itunes-u/what-brain-tumors-are-best/id431848216?i=... Proton therapy treatment for brain tumors is the best option for certain cases of brain tumors. Proton therapy causes fewer side effects than traditional radiation and major long term complications are avoided. Radiation is delivered as a proton beam directly to the brain tumor site, sparing healthy tissue. Proton therapy treatment should especially be considered if the affected area includes...

Download from iTunes: http://itunes.apple.com/us/itunes-u/bone-cancer-surgery-options/id431848216?i=101666070 Osteosarcoma and Ewing's sarcoma are the most common bone tumors found in children. In the past, amputation was the preferred method for removing tumors, but now there are less invasive bone cancer surgery options available. Valerae Lewis, M.D., Associate Professor in the University of Texas MD Anderson Cancer Center Department of Orthopaedic Oncology, discusses limb salvage surgery...

The transcription factor HIF-1α is essential for a cell's response to low oxygen conditions. Carbonaro et al. demonstrate that production of HIF-1α protein is regulated by dynamic microtubules and that microtubule-targeting drugs shift HIF-1α mRNA into cytoplasmic P-bodies, where its translation is repressed by miRNAs. This biosights episode presents the paper by Carbonaro et al. from the January 10, 2011, issue of The Journal of Cell Biology, and includes an interview with authors Marisa...

"The Living Matrix: The Science of Healing," trailer; The movie uncovers new ideas about the intricate web of factors that determine our health and interviews a group of dedicated scientists, psychologists, bioenergetic researchers and holistic practitioners, who are finding healing potential in new places. (The energetic information-based medicine looks particularly powerful.) http://www.thelivingmatrixmovie.com/

An introduction to computational methods for analyzing Array Comparative Genomic Hybridization data by Chris Miller. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

Evolutions of oxygen concentration and formation of hypoxic zones during tumour growth in the vascular network. This simulation was produced with an experimental modification to the model, where vessels are oxygen sources inside the simulation domain, cells do not switch to anaerobic metabolism in this simulation. For more information refer to http://code.google.com/p/cord/.

This is a simulation of tumour cord growth , where cells suffer from hypoxia (energy deficit shown with colour). The tumour grows along the blood vessel (coincides with x -axis). Red line shows the position of the tumour–host interface. This particular simulation was programmed in FreeFEM++ out of curiousity. The source code for simulation may be found at http://code.google.com/p/cord . This video reflects work in progress and may be different from the final results .

Simulation of tumour cord growth where conversion of the tumour to glycolytic (anaerobic) metabolism takes place under hypoxia. This video shows volume fraction of glycolytic cell population and velocity of tissue movement. Isolines show hypoxia limits for aerobic and anaerobic cell lines respectively. This video reflects work in progress and may be different from the final results.

Simulation of tumour cord growth where conversion of the tumour to glycolytic (anaerobic) metabolism takes place under hypoxia. This video shows evolution of the region where the aerobic cells suffer from hypoxia (ATP deficit) as well as the limit where the glycolytic cells start suffering too. This video reflects work in progress and may be different from the final results.