NONINVASIVE DETECTION OF CIRCULATING RNAS FOR LUNG CANCER EARLY DETECTION AND PROGNOSIS


Year of Award:
2015
Award Type:
R33
Project Number:
CA191245
RFA Number:
RFA-CA-14-004
Technology Track:
Molecular & Cellular Analysis Technologies
PI/Project Leader:
WU, YUN
Other PI or Project Leader:
N/A
Institution:
STATE UNIVERSITY OF NEW YORK AT BUFFALO
The dismal rate of survival in lung cancer is primarily a result of late diagnosis, resistance to classical or targeted therapy, and post-treatment recurrence of disease. A patient-friendly early detection and prognosis method that detects cancer at an ea