Under the right circumstances, a single mouse can be as good as a group of eight or 10 animals in predicting whether a tumor will respond to a drug, researchers reported at the 2020 EORTC-NCI-AACR (ENA) Molecular Targets meeting on Saturday. The single-animal approach “allows incorporation of more tumor models within the same resource constraints,” Peter Houghton told reporters at a press conference previewing ENA highlights.
Under the right circumstances, a single mouse can be as good as a group of eight or 10 animals in predicting whether a tumor will respond to a drug, researchers reported at the 2020 EORTC-NCI-AACR (ENA) Molecular Targets meeting on Saturday. The single-animal approach “allows incorporation of more tumor models within the same resource constraints,” Peter Houghton told reporters at a press conference previewing ENA highlights.
Cancer treatment has been transformed, at its root, by a transformational change in how it is classified. Those successes have not escaped the notice of researchers in other areas of biomedicine, and diseases including heart failure, asthma and polycystic ovarian syndrome are being looked at with an eye to subdividing them in ways that brings diagnostics into the molecular era.
Cancer treatment has been transformed, at its root, by a transformational change in how it is classified. These days, which organ a tumor arises in is often less important than its molecular drivers, which can be sensitive either to specific targeted treatments, or increase the chance that a tumor will respond to immunotherapy. Those successes have not escaped the notice of researchers in other areas of biomedicine, and diseases including heart failure, asthma and polycystic ovarian syndrome are being looked at with an eye to subdividing them in ways that brings diagnostics into the molecular era. Nowhere do those changes have greater potential than in disorders of the brain – in part because there is nowhere much to go but up as far as classifying neurological diseases goes.