A CACTUS
Antibody-free method for Counting All Circulating TUmour cellS while maintaining them alive and intact
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0A CACTUS project word cloud
Explore the words cloud of the A CACTUS project. It provides you a very rough idea of what is the project "A CACTUS" about.
Project "A CACTUS" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITA DEGLI STUDI DI UDINE
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Total cost | 149˙875 € |
| EC max contribution | 149˙875 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2014-PoC |
| Funding Scheme | ERC-POC |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-04-01 to 2016-09-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITA DEGLI STUDI DI UDINE | IT (UDINE) | coordinator | 149˙875.00 |
Map
Project objective
The problem: Cancer metastases are responsible for 90% of cancer-associated deaths. Circulating tumour cells (CTCs) that enter the blood stream on their way to potential metastatic sites are of obvious interest to evaluate correctly patient treatment and therefore influence outcome. CTCs have been identified in bladder, gastric, prostate, lung, breast and colon cancer. The only FDA approved CTCs detection system is Veridex’ CellSearch, which detects only epithelial cancer cells using antibody labelling. Recent evidence showed that non-epithelial cancer cells, which are not detected by CellSearch, are of critical importance in cancer progression.
The idea: Our CTC detection method is based, instead of on antibody labelling, on metabolic features of cancer cells, thus providing potential for detecting both epithelial and mesenchymal cancer cells. Cancer cells induce environmental changes; e.g. in aerobic conditions most cancer cells display a high rate of glycolysis with lactate production in the cytosol, known as the Warburg effect. By separating cells into micro-droplets of pico-liter volume using micro-fluidic water-in-oil emulsions and by characterising the microenvironment surrounding them, CTCs are detected by probing for environmental changes using pH sensitive dyes or enzymatic lactate assays. Our inexpensive diagnostic method provides a way to count and isolate CTCs without any labelling while maintaining cells alive and intact for further studies.
The project: “A CACTUS” is meant to assess the feasibility of commercialising the developed method for counting and sorting CTCs and develop a proper commercialisation strategy. The final goal of this project is to develop a proposition package consisting of technical proof of concept, the business proposition and strategy and an IP portfolio and strategy. This information will be presented in an attractive business plan that will be proposed to potential investors.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
Fabio Del Ben, Matteo Turetta, Giorgia Celetti, Aigars Piruska, Michela Bulfoni, Daniela Cesselli, Wilhelm T. S. Huck, Giacinto Scoles A Method for Detecting Circulating Tumor Cells Based on the Measurement of Single-Cell Metabolism in Droplet-Based Microfluidics published pages: 8581-8584, ISSN: 1433-7851, DOI: 10.1002/anie.201602328 |
Angewandte Chemie International Edition 55/30 | 2019-07-23 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "A CACTUS" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "A CACTUS" are provided by the European Opendata Portal: CORDIS opendata.