A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche

Lab on a Chip
C Ryan OliverSofia D Merajver

Abstract

Brain metastases are the most lethal complication of advanced cancer; therefore, it is critical to identify when a tumor has the potential to metastasize to the brain. There are currently no interventions that shed light on the potential of primary tumors to metastasize to the brain. We constructed and tested a platform to quantitatively profile the dynamic phenotypes of cancer cells from aggressive triple negative breast cancer cell lines and patient derived xenografts (PDXs), generated from a primary tumor and brain metastases from tumors of diverse organs of origin. Combining an advanced live cell imaging algorithm and artificial intelligence, we profile cancer cell extravasation within a microfluidic blood-brain niche (μBBN) chip, to detect the minute differences between cells with brain metastatic potential and those without with a PPV of 0.91 in the context of this study. The results show remarkably sharp and reproducible distinction between cells that do and those which do not metastasize inside of the device.

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Citations

Jul 10, 2020·Lab on a Chip·Akihiro IsozakiKeisuke Goda
Sep 12, 2020·Nature Reviews. Drug Discovery·Lucie A LowDanilo A Tagle
Mar 19, 2021·Drug Discovery Today·Yan LiuFeng Xu
Mar 16, 2021·IScience·Pamela L GraneyGordana Vunjak-Novakovic
Mar 30, 2021·Frontiers in Bioengineering and Biotechnology·Indira SigdelYuan Tang
Jun 3, 2021·Advanced Healthcare Materials·Jeong-Kee YoonYongTae Kim
May 21, 2021·Advanced Drug Delivery Reviews·Nuala Del PiccoloSteven C George
Nov 14, 2020·ACS Sensors·Feiyun CuiH Susan Zhou

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Methods Mentioned

BETA
biopsy
chip
confocal microscopy
confocal tomography
xenografts
chips

Software Mentioned

R Studio
Visualization tool kit ( VTK )
AdaBoost
Python

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