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Physics, Math May Offer Clues To Unravel Cancer
Traditional cancer biology involves taking a sample of cells and holding them in time so they can be studied. Then the researchers look at that slice of cells to understand what signals and pathways are involved.
However, Sofia Merajver, M.D., Ph.D., co-director of the Breast Oncology Program at the U-M Comprehensive Cancer Center has claimed that such and approach doesnt capture the full picture.
"The living cell is really a dynamic process. We need to consider the properties of physics to help us understand these data. In order to develop a drug directed against a given molecule that has real hope of treating cancer, we need to understand how that molecule is sitting in the cell, interacting with other molecules," said Merajver, professor of internal medicine at the U-M Medical School.
They have now developed a sophisticated mathematical model to help researchers apply these concepts to cancer.
The mathematical model is designed to help give researchers a complete picture of how a cell interacts with its surrounding environment.
By understanding the full complexity of signaling pathways, researchers can better target treatments and identify the most promising potential new drugs.
The modelling has revealed that a well-known and major type of signalling pathway naturally transmits information not just in a forward direction, but also backwards.
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