Urinary detection of lung cancer in mice via noninvasive pulmonary protease profiling.

ABSTRACT: Lung cancer is the leading cause of cancer-related death, and patients most commonly present with incurable advanced-stage disease. U.S. national guidelines recommend screening for high-risk patients with low-dose computed tomography, but this approach has limitations including high false-positive rates. Activity-based nanosensors can detect dysregulated proteases in vivo and release a reporter to provide a urinary readout of disease activity. Here, we demonstrate the translational potential of activity-based nanosensors for lung cancer by coupling nanosensor multiplexing with intrapulmonary delivery and machine learning to detect localized disease in two immunocompetent genetically engineered mouse models. The design of our multiplexed panel of sensors was informed by comparative transcri

SUBMITTER: Kirkpatrick JD 

PROVIDER: S-EPMC7894603 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature