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Issue 7, 2019
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A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche

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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.

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

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Publication details

The article was received on 19 Dec 2018, accepted on 15 Feb 2019 and first published on 27 Feb 2019


Article type: Paper
DOI: 10.1039/C8LC01387J
Lab Chip, 2019,19, 1162-1173

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

    C. R. Oliver, M. A. Altemus, T. M. Westerhof, H. Cheriyan, X. Cheng, M. Dziubinski, Z. Wu, J. Yates, A. Morikawa, J. Heth, M. G. Castro, B. M. Leung, S. Takayama and S. D. Merajver, Lab Chip, 2019, 19, 1162
    DOI: 10.1039/C8LC01387J

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