Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

ABSTRACT: Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipeline for automated quantification of cancer metastases and therapeutic antibody targeting, named DeepMACT. First, we enhanced the fluorescent signal of cancer cells more than 100-fold by applying the vDISCO method to image metastasis in transparent mice. Second, we developed deep learning algorithms for automated quantification of metastases with an accuracy matching human expert manual annotation. Deep learning-based quantification in 5 different metastatic cancer models including breast, lung, and pancreatic cancer with distinct organotropisms a

SUBMITTER: Pan C 

PROVIDER: S-EPMC7591821 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature