So, our standard of care is to treat where the tumor was before surgery and a smallish margin around the edges, and hoping that our chemotherapy will take care of the more distant cells. In 2004, a famous paper from Singh and colleagues identified a small subset of cells within a glioblastoma which seemed to be responsible for these recurrences - and these cells shared many attributes of non-cancer stem cells. It turned out that these cells were more resistant to radiation - and this gave us hope: maybe we weren't curing these patients because we were targeting the wrong cells! The field of glioma stem cell biology has advanced rapidly and many scientists are working on the problem. A prominent group in this field is led by Jeremy Rich at the Cleveland Clinic's Lerner Research Institute. They have made many advances, but recently their focus has been on the effect of physical/chemical factors within the 'microenvironment' of the tumor that promote these special 'stem' cells - for example acidity, low oxygen tension and low glucose levels.
One of the scientists from this lab in Cleveland, Anita Hjelmeland, recently took a faculty position at the University of Alabama in Birmingham, where they have a massive brain tumor center (called a SPORE) to continue her work. She and I met when I was visiting her lab in Cleveland and gave a talk about some of the theory work that +David Basanta and I have done. She and I hit it off, scientifically, and we decided to start a collaboration. We've worked together now on a few different projects that are in various phases of development, and just yesterday, we submitted an R-01 (a large scale, 5 year grant) proposal that is led by Anita and David, with participation from myself, +Alexander Anderson and +Heiko Enderling. We are hoping to leverage the strengths of her biological laboratory with our theoretical modeling techniques to try to make some progress against this cancer. Her work previously has shown, convincingly, that hyoxia (low oxygen levels), acidic pH and low glucose levels promote these 'stem' cells, but trying to understand how they all work together is a difficult task - especially in a living system. This is where our computational models can help.
Anyways, we have our fingers crossed for the success of our grant, and I'll be sure to keep you updated as to our progress. As a teaser, I am including a figure from our grant. Mind you, this is unpublished preliminary data (SHARING IN SCIENCE IS GOOD!), so don't draw too many conclusions from it.
Some background: it seems that these special 'stem' cells in the tumor preferentially live in special areas called 'niches'. These niches come in (at least) two different varieties, near to the vasculature, where nutrients are abundant, and near to areas of necrosis (cell death) where nutrients are scarce. This difference is intriguing and some observations have suggested that they might contribute to differences in treatment response. So - the preliminary finding... our model suggests that the physical microenvironmental history of these niches is very different, and that the evolutionary dynamics within them are as well! If we can better understand how these niches are created and maintained, maybe we can make some inroads against the progression of this tumor.
|Our model, center, has two different areas in which stem cells seem to reside - near to vessels, where the environment is stable, and near to the areas of necrosis, where the environment is harsh. (unpublished data)|
So - wish us luck. The model that we have extended to make the above prediction is under review at PLoS Computational Biology, but you can see a preprint here. Anita has published a TON of papers on this subject, which you can find on pubmed. David has also written several papers (a couple with me) on glioblastoma, but only the preprint so far on stem cells in this disease. Our resident stem cell modeling expert, +Heiko Enderling, will be of great help as well. You can see his long publication record on his website.