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Automation of Flow Cytometric Analysis for Quality-Assured Follow-up Assessment to Guide Curative Therapy for Acute Lymphoblastic Leukaemia in Children

Objective

Acute Lymphoblastic Leukaemia is the most frequent leukaemia entity in children and adolescents. Despite continued progress and refinement of therapeutic approaches, disease relapse due to insufficient extinction of leukaemic blasts still remains the number one cause of treatment failure. About 15-20% of paediatric patients with the disease still suffer from relapse. Flow cytometry (FCM) is one of the methodologies most useful in this respect, because it is widely available and applicable to most patients. While sample preparation, antibody panels, staining procedures, and FCM acquisition can be harmonized straightforwardly, data analysis and interpretation rely largely on operator skills and experience. These assessments are time-consuming and costly to be attained via staff-training, online support between twinning laboratories, and continued quality control. Hence, these requirements represent the current bottleneck of safely applying the FCM-Minimal Residual Desease (MRD) methodology in a growing community of diagnostic laboratories to the benefit of an increasing number of patients with leukaemia.
To address this bottleneck, AutoFLOW aims at developing an objective and automated tool for multi-parameter FCM data analysis with robust and reliable MRD quantification. The consortium aims at engaging professionals from the medical and ICT fields in a network where the exchange of knowledge will culminate in a valid solution for automated FCM analysis for clinical follow-up assessment of Acute Lymphoblastic Leukaemia (ALL). Additionally, AutoFLOW is expected to gain better career perspectives for the involved personnel and increase the competitiveness of the participating SMEs.

Field of science

  • /social sciences/sociology/industrial relations/automation
  • /natural sciences/computer and information sciences/data science/data analysis

Call for proposal

FP7-PEOPLE-2013-IAPP
See other projects for this call

Funding Scheme

MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)

Coordinator

TECHNISCHE UNIVERSITAET WIEN
Address
Karlsplatz 13
1040 Wien
Austria
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 508 605,24
Administrative Contact
Martin Kampel (Dr.)

Participants (4)

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany
EU contribution
€ 191 541,90
Address
Chariteplatz 1
10117 Berlin
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Martina Eickmann (Ms.)
LABDIA LABORDIAGNOSTIK GMBH
Austria
EU contribution
€ 303 369,55
Address
Zimmermannplatz 8
1090 Wien
Activity type
Other
Administrative Contact
Michael Dworzak (Dr.)
COGVIS SOFTWARE UND CONSULTING GMBH
Austria
EU contribution
€ 266 557,28
Address
Wiedner Hauptstrasse 17 3 A
1040 Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Michael Brandstötter (Mr.)
INFOKOM Informations- und Kommunikationsgesellschaft mbH
Germany
EU contribution
€ 368 404,96
Address
Johannesstrasse 8
17034 Neubrandenburg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Rolf-Dietrich Berndt (Mr.)