Genetic risk score enhances the risk prediction of severe obesity in adult survivors of childhood cancer | Nature Medicine
Adult survivors of childhood cancer have high rates of obesity, which, in combination with the cardiotoxic effects of specific cancer therapies, places them at high risk for cardiovascular morbidity. Here researchers show the contribution of genetic risk scores (GRSs) to increase prediction of those survivors of childhood cancer who are at risk for severe obesity (body mass index ≥40 kg m−2) as an adult.
Widespread redundancy in -omics profiles of cancer mutation states | Genome Biology
In studies of cellular function in cancer, researchers are increasingly able to choose from many -omics assays as functional readouts. Choosing the correct readout for a given study can be difficult, and which layer of cellular function is most suitable to capture the relevant signal remains unclear. Researchers consider prediction of cancer mutation status (presence or absence) from functional -omics data as a representative problem that presents an opportunity to quantify and compare the ability of different -omics readouts to capture signals of dysregulation in cancer.
KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data | Nature Communications
Kinase inhibitors as targeted therapies have played an important role in improving cancer outcomes. Here, researchers develop a graph- and statistics-based algorithm, called KSTAR, to convert phosphoproteomic measurements of cells and tissues into a kinase activity score that is generalizable and useful for clinical pipelines, requiring no quantification of the phosphorylation sites.