INTEGRATED MICROFLUIDIC EXOSOME PROFILING FOR EARLY DETECTION OF CANCER


Year of Award:
2014
Award Type:
R21
Project Number:
CA186846
RFA Number:
RFA-CA-13-001
Technology Track:
Molecular & Cellular Analysis Technologies
PI/Project Leader:
ZENG, YONG
Other PI or Project Leader:
N/A
Institution:
UNIVERSITY OF KANSAS LAWRENCE
Detection of asymptomatic early-stage disease is critical for effective treatment of most cancer types. For instance, when detected at Stage I, the 5-year survival rate for ovarian cancer patients is greater than 90%, versus 20% for advanced-stage disease