Sensitive Spatiotemporal Tracking of Spontaneous Metastasis in Deep Tissues via a Genetically-Encoded Magnetic Resonance Imaging Reporter

Abstract

Metastasis remains a poorly understood aspect of cancer biology and the leading cause of cancer-related death, yet most preclinical cancer studies do not examine metastasis, focusing solely on the primary tumor. One major factor contributing to this paradox is a gap in available tools for accurate spatiotemporal measurements of metastatic spread in vivo. Our objective was to develop an imaging reporter system that offers sensitive three-dimensional detection of cancer cells at high resolutions in live mice. We utilized organic anion-transporting polypeptide 1b3 (oatp1b3) as a magnetic resonance imaging (MRI) reporter gene to this end, and systematically optimized its framework for in vivo tracking of viable cancer cells in a spontaneous metastasis model. We were able to image metastasis on oatp1b3-MRI at the single lymph node level and continued to track its progression over time as cancer cells spread to multiple lymph nodes and different organ systems in single animals. While initial single lesions were successfully imaged in parallel via bioluminescence, later metastases were obscured by light scatter from the initial node. Importantly, we demonstrate and validate that 100-μm isotropic resolution MR images could detect micrometastases in lung tissue estimated to contain fewer than 10³ cancer cells. In summary, oatp1b3-MRI enables precise determination of lesion size and location over time and offers a path towards deep-tissue tracking of any oatp1b3-engineered cell type with combined high resolution, high sensitivity, 3D spatial information, and surrounding anatomical context.

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