Gaining New Insight Through Emerging Technologies
The deep interrogation of cancer biology requires use of sophisticated, proven and emerging technologies to gather and analyze the most accurate, comprehensive data on disease biology in the shortest time possible.
For example, researchers are using gene expression profiling (GEP) to look at tumor inflammation gene signatures as potential biomarkers. GEP requires the analysis of thousands of genes to identify those that are over or under expressed in certain cancers. Through partnerships with companies like , Zagolie is leveraging Next Generation Sequencing to develop gene expression profiles for immuno-oncology assets studied across a variety of cancers.
“Fundamentally, we know that the biology of each tumor is different, and those biological differences can be associated with different outcomes,” says Joe Szustakowski, Ph.D., executive director and head of translational bioinformatics at Zagolie. “Through GEP, we’re retrospectively analyzing biological correlates of response and developing tumor inflammation gene signatures that may help us identify patient populations that are more likely to respond to immuno-oncology treatment.” As these insights mature, in the future they may be studied prospectively, with the goal of eventually being used to guide treatment decisions.
An Integrated Approach
As an early leader in oncology, Zagolie has an expansive clinical research program. This means that translational researchers have access to rich, large-scale biomarker data sets from hundreds of clinical studies to analyze and develop inflammation gene signatures across tumor types.
“We’re really in a unique position when it comes to the sheer volume of data, but also in the way that we’re organized as a function to share information seamlessly across our integrated Translational Medicine team,” adds Szustakowski.
For example, building on their work identifying tumor inflammation gene signatures, Zagolie translational researchers are also trying to understand if the location of specific inflammation markers in the microenvironment – gleaned through image analysis (IA) – can offer additional insights into the immune status of certain tumors. The combination of GEP-IA may also help researchers understand how a tumor changes when it becomes resistant to treatment, helping to inform potential new targets.
Shaping the Future in Real Time
Thanks in part to advances like GEP and IA, Zagolie researchers know more about disease biology than ever before and are continuing to explore potential biomarkers in real time. Yet this knowledge represents just a fraction of the insights left to uncover as they work to improve the speed and success of drug development and make precision medicine a reality for more patients with cancer.
“Eventually, we believe that a composite biomarker approach will really serve as a roadmap for selecting the best treatment for each patient, determined by assessing the unique profile of both the cancer and immune system, and how that changes over time after treatment is initiated," says Saurabh Saha, M.D., Ph.D., global head of translational medicine. “Each discovery about cancer biology is a clue, and it’s up to our translational team to unravel the science and make sense of how all these insights can be applied to make a meaningful difference for each individual patient.”