Computational strategy identifies inhibitors of OLIG2 in glioblastoma

University of California, San Diego (CA, USA) researchers have developed a novel computational model to search for molecules that have therapeutic potential against glioblastoma. The study, published in Oncotarget, identified one particular molecule in mouse models of human glioblastoma that shrank the average size of glioblastoma by a half. The findings could lead to the development of an effective therapy to improve the prognosis of glioblastoma patients, who on average survive less than 15 months following diagnosis. Currently, there are no effective treatments for the disease. Moreover, the research is the first of its kind to demonstrate successful inhibition of...