3-D tumor models improve drug discovery success rate
Imagine millions of cancer cells organized in thousands of small divots. Hit these cells with drugs and when some cells die, you have a candidate for a cancer drug. But a review published this week in the journal Expert Opinion on Drug Discovery argues that these 2D models in fact offer very little information about a potential drug's effects in the body and may often give researchers misleading results.
"Up until the 1980s animal models were the standard for cancer drug discovery. However, with the increase in the number of compounds available for testing and the advent ...