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ONCOSMART SIGNED

ONCOlogic patient profiling and personalized treatment through SMART bedside diagnostics

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EC-Contrib. €

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Partnership

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Project "ONCOSMART" data sheet

The following table provides information about the project.

Coordinator
CELLPLY SRL 

Organization address
address: VIA FONDAZZA 53
city: BOLOGNA
postcode: 40125
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website https://cellply.com/horizon-2020/
 Total cost 3˙348˙500 €
 EC max contribution 2˙343˙950 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CELLPLY SRL IT (BOLOGNA) coordinator 2˙343˙950.00

Map

 Project objective

ONCOSMART is the first In-Vitro Diagnostic (IVD) system that determines the effectiveness of anticancer drugs for a specific patient, testing live cell response to one or multiple cancer drugs. ONCOSMART analyses bone marrow or blood samples from a specific cancer patient, providing the results within 24-48 hours. This “functional profiling” approach has shown superior performance in non-automated systems to current molecular/genomic methods in predicting individual patient’s response to anticancer treatments. ONCOSMART is a fully-automated and standardised functional profiling platform that is made available to doctors and researchers to identify the most suitable cancer therapy for individual patients and also aid patient selection in clinical trials. The innovative platform analyses the interactions between anticancer drugs and live tumor cells contained in 2 mL of blood or bone marrow samples. Cellply has freedom to operate and protected ONCOSMART with 2 patent families issued in EU, US and China, 1 issued in EU, 1 pending PCT application, 2 pending Italian applications. Additional value is captured by 4 patent applications to be submitted in 2018-2019. ONCOSMART can test anticancer drugs including targeted, chemo and immunotherapies alone or in combination. The test results guide the selection of: 1) the appropriate therapy for a specific patient; 2) cancer patients for specific clinical studies; 3) cancer patients for novel therapies in clinical development. The platform has been fully-engineered and tested on leukemia patients (AML), proving its predictive power, and is extended to other hematologic and solid tumors in future developments. Within this project, CellPly has the goal to industrialise the platform, validate its analytical and clinical performance and support the first commercialisation activities releasing the platform for research first, then for clinical use. Seal of Excellence certificate obtained on November 2017.

 Deliverables

List of deliverables.
Communication Strategy Guide Documents, reports 2020-01-14 14:21:31
Project visual identity and website Websites, patent fillings, videos etc. 2020-01-14 14:21:32

Take a look to the deliverables list in detail:  detailed list of ONCOSMART deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Alice Bettelli, Rita Ruggiano, Silvia Bocchi, Laura Rocchi, Andrea Faenza, Enrica Borsi, Carolina Terragna, Elena Zamagni, Marina Martello, Marco Bettelli, Laura Rambelli, Viviana Guadagnuolo, Nicola Pecorari, Luca Giulianelli, Matteo Pisani, Dario Biscarini, Michele Cavo, Roberto Guerrieri and Massimo Bocchi.
Inter-Cell Networking Profiling Enables Comprehensive Characterization of Immune-Mediated Activity of Anti-CD38 Therapy through Ex-Vivo Analysis of Multiple Myeloma Patients.
published pages: , ISSN: , DOI:
Blood 2019-11-08

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The information about "ONCOSMART" are provided by the European Opendata Portal: CORDIS opendata.

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