A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche
- 27 February 2019
- journal article
- research article
- Published by Royal Society of Chemistry (RSC) in Lab on a Chip
- Vol. 19 (7) , 1162-1173
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.Keywords
Funding Information
- National Institutes of Health (T32CA009676)
- National Institutes of Health (P30CA046592)
- National Institutes of Health (CA196018)
- National Institutes of Health (AI116482)
- Comprehensive Cancer Center, University of Michigan (Nancy Newton Loeb Fund)
- Comprehensive Cancer Center, University of Michigan (P30CA046592)
- METAvivor
- Breast Cancer Research Foundation ((SM))
This publication has 37 references indexed in Scilit:
- Clinical outcomes and treatment practice patterns of patients with HER2-positive metastatic breast cancer in the post-trastuzumab eraThe Breast, 2013
- SyM-BBB: a microfluidic blood brain barrier modelLab on a Chip, 2012
- Characterization of a microfluidic in vitro model of the blood-brain barrier (μBBB)Lab on a Chip, 2012
- Characterization of In Vitro Endothelial Linings Grown Within Microfluidic ChannelsTissue Engineering Part A, 2011
- The physics of cancer: the role of physical interactions and mechanical forces in metastasisNature Reviews Cancer, 2011
- The biology of brain metastases—translation to new therapiesNature Reviews Clinical Oncology, 2011
- Heterogeneous Blood–Tumor Barrier Permeability Determines Drug Efficacy in Experimental Brain Metastases of Breast CancerClinical Cancer Research, 2010
- Uniquely Hominid Features of Adult Human AstrocytesThe Journal of Neuroscience, 2009
- Rac Activation and Inactivation Control Plasticity of Tumor Cell MovementCell, 2008
- Brain Metastases: The HER2 ParadigmClinical Cancer Research, 2007