Abstract

e14223 Background: Cytokine release syndrome (CRS), a systemic inflammatory response observed with monoclonal antibody drugs and adoptive T cell treatments, has become a major issue for CAR-T therapy. CRS can present as a mild reaction requiring minimally invasive supportive care up to a severe systemic response resulting in patient death. Monitoring this response during these therapeutic treatments is non-trivial due the wide range of biomarker concentrations, small sample volumes, and long assay times. Current analytical methods are unable to address these needs, limiting the precision of CAR-T therapy and effective management of its side effects. Methods: Emerging studies in this area have focused in establishing a panel of predictive biomarkers to manage dosing and early interventions, among them, IFNγ, IL6, TNFα, MIP1 have shown predicative powers in pediatric patients. Nevertheless, a significant improvement (100x) on the detection sensitivity is required to predict the CRS response with currently available methods. In addition, CRS-associated biomarkers including CRP and ferritin vary from 10ng/mL-10mg/mL while other predictive biomarkers (eg, IL6, IFNγ, etc.) vary from 1pg/mL-100ng/mL. At present, no analytical tool, known to us, can provide this large dynamic range ( > 9 logs), with the requisite lower limit of detection, in a rapid single test to predict and differentiate low, medium or high grade responses. Results: We present the NanoMosaic platform, the technology that has requisite sensitivity and breadth of dynamic range to enable precision detection based on precise quantitation of CRS-relevant biomarkers. NanoMosaic technology is enabled by single molecule nanoneedle sensors that are densely integrated on a silicon chip and manufactured with a CMOS-compatible process. Absolute quantitation is achieved by imaging the spectrum of nanoneedles, corresponding directly to the number of molecules. Conclusions: Direct comparison of different protein biomarkers with orders of magnitude concentration variations becomes possible in one platform and small sample sizes. We envision NanoMosaic technology will not only drive biomarker discovery, but also enable precise dosing management for CAR-T therapy.

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