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3D spheroids derived from single cells for discovering stochastic patterns behind metastasis

CORDIS · observation · Publication date unknown

discoveries in what is one of the holy grails of modern clinical science. To achieve our goal, 3DSecret will use a set of key enabling technologies including microfluidics, nanosensors, genomics, and artificial intelligence (AI). Microfluidics will drive the isolation of single CTCs from whole blood samples of 60+ metastatic breast cancer patients. These will be grown on-chip to form 3D spheroids, thus allowing comprehensive genomic and transcriptomic studies of single-cell origin while bypassing the errors typically introduced by single-cell genome amplification. The genomic and transcriptomic data will be combined with clinical information, single-cell growth profiles and dynamic metabolomic analyses obtained by the use of nanosensors and SERS, to develop a multimodal AI analytical tool capable of identifying unknown patterns driving metastasis. The bold assumption that there could be stochastic patterns driving metastasis, cancer evolution and malignancy, makes the approach of 3DSecret exceptionally high-risk, high-gain. We are confident that such a breakthrough would lead to a ma

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recordType

award

status

SIGNED

region

EU

value

2591050.25

unit

EUR