![]() ![]() In assessable patients in the second-line setting (n=13), the ORR was 54%, with a DCR of 85% (95% CI: 54.6, 98.1). In patients treated in the first-line setting (n=20), the confirmed objective response rate (ORR) was 65%, with a 100% disease control rate (DCR) (95% CI: 83.2, 100). Thora Kristin Asgeirsdottir PR and Communications deCODE genetics 3 deCODE is a wholly-owned subsidiary of Amgen (NASDAQ: AMGN). The purpose of understanding the genetics of disease is to use that information to create new means of diagnosing, treating and preventing disease. Using its unique expertise in human genetics combined with growing expertise in transcriptomics and population proteomics and vast amount of phenotypic data, deCODE has discovered risk factors for dozens of common diseases and provided key insights into their pathogenesis. Using just one blood sample per person you can easily compare large groups in a standardized way, for example, to estimate treatment effects in clinical trials."īased in Reykjavik, Iceland, deCODE is a global leader in analyzing and understanding the human genome. "This shows that our general health is reflected in the plasma proteome. "This is pretty cool but also scary and hopefully somewhat useful", says Kari Stefansson a senior author on the paper. "The predictor gives a good estimate of general health from a single blood draw," says Thjodbjorg Eiriksdottir scientist at deCODE genetics and author on the paper. Furthermore, they found that, on average, participants predicted at high risk of death within a short period of time had less grip strength and performed worse on an exercise tolerance test and a test of cognitive function than those predicted at lower risk. In particular, they found growth/differentiation factor 15 (GDF15), which has been associated with mortality and ageing before, to be an important predictor of all-cause mortality. The scientists explored how individual proteins associate with mortality and various causes of death and found most causes of death to have similar protein profiles. The predictor can identify the 5% at highest risk in a group of 60-80 year olds, where 88% died within ten years and the 5% at lowest risk where only 1% died within ten years. ![]() Using a dataset of ~5000 protein measurements in 22,913 Icelanders, of whom 7,061 died during the study period, the scientists developed a predictor of the time to death that can outperform predictors based on multiple known risk factors. In a paper published today in Communications Biology, scientists from deCODE genetics, a subsidiary of Amgen, describe how they developed predictor of how much is left of the life of a person. ![]()
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