Unknown

Dataset Information

0

Surveillance nanotechnology for multi-organ cancer metastases.


ABSTRACT: The identification and molecular profiling of early metastases remains a major challenge in cancer diagnostics and therapy. Most in vivo imaging methods fail to detect small cancerous lesions, a problem that is compounded by the distinct physical and biological barriers associated with different metastatic niches. Here, we show that intravenously injected rare-earth-doped albumin-encapsulated nanoparticles emitting short-wave infrared light (SWIR) can detect targeted metastatic lesions in vivo, allowing for the longitudinal tracking of multi-organ metastases. In a murine model of basal human breast cancer, the nanoprobes enabled whole-body SWIR detection of adrenal gland microlesions and bone lesions that were undetectable via contrast-enhanced magnetic resonance imaging (CE-MRI) as early as, respectively, three weeks and five weeks post-inoculation. Whole-body SWIR imaging of nanoprobes functionalized to differentially target distinct metastatic sites and administered to a biomimetic murine model of human breast cancer resolved multi-organ metastases that showed varied molecular profiles at the lungs, adrenal glands and bones. Real-time surveillance of lesions in multiple organs should facilitate pre-therapy and post-therapy monitoring in preclinical settings.

SUBMITTER: Kantamneni H 

PROVIDER: S-EPMC5844578 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications


The identification and molecular profiling of early metastases remains a major challenge in cancer diagnostics and therapy. Most in vivo imaging methods fail to detect small cancerous lesions, a problem that is compounded by the distinct physical and biological barriers associated with different metastatic niches. Here, we show that intravenously injected rare-earth-doped albumin-encapsulated nanoparticles emitting short-wave infrared light (SWIR) can detect targeted metastatic lesions in vivo,  ...[more]

Similar Datasets

| S-EPMC4631975 | biostudies-other
2016-07-01 | E-GEOD-78076 | biostudies-arrayexpress
| S-EPMC6966654 | biostudies-literature
| S-EPMC5067024 | biostudies-literature
| S-EPMC6404325 | biostudies-literature
2016-07-01 | GSE78076 | GEO
| S-EPMC6317518 | biostudies-literature
2019-03-01 | GSE118942 | GEO
| S-EPMC3706454 | biostudies-other
| S-EPMC3916007 | biostudies-literature