QIAGEN Adds to Pipeline of Personalized Healthcare Diagnostics
News Jan 08, 2013
QIAGEN N.V. has announced three separate agreements that add multiple biomarkers to QIAGEN's deep development pipeline of diagnostics for Personalized Healthcare applications to guide treatments with various medicines based on a patient's genomic information.
QIAGEN intends to develop new diagnostics to guide treatment decisions (including companion diagnostics paired with medicines) based on these biomarkers for use in therapeutic areas such as rheumatoid arthritis, lung cancer and colorectal cancer. Most of these assays will be designed to run on the QIAsymphony RGQ modular laboratory workflow automation system as well as QIAGEN's next-generation sequencing workflows currently in development. By guiding treatment decisions for specific therapies in individual patients, the use of these biomarkers as companion diagnostics can help improve patient outcomes and better utilize healthcare resources.
"These new agreements add further depth to our extensive development portfolio of biomarkers with potential to provide valuable diagnostic information as well as personalized guidance for treatment decisions. The opportunity to create a new, improved paradigm in the important and vast field of rheumatoid arthritis is very exciting, and the other agreements further deepen our pipeline in oncology," said Peer M. Schatz, Chief Executive Officer of QIAGEN. "QIAGEN's global leadership in co-developing Personalized Healthcare solutions in partnership with pharmaceutical and biotechnology companies has become a key growth driver for our business. Our diagnostics are delivering molecular information to transform medical care for a wide range of diseases."
In a new study in cells, University of Illinois researchers have adapted CRISPR gene-editing technology to cause the cell’s internal machinery to skip over a small portion of a gene when transcribing it into a template for protein building. This gives researchers a way not only to eliminate a mutated gene sequence, but to influence how the gene is expressed and regulated.