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Diagnostic autoantibody assay to stratify bone marrow failure diseases

Total Cost €


EC-Contrib. €






 STRATIFY project word cloud

Explore the words cloud of the STRATIFY project. It provides you a very rough idea of what is the project "STRATIFY" about.

background    leukopenia    thousands    protein    difficulties    serology    lives    options    heterogenous    machines    syndromes    white    introducing    positivity    anaemia    potentially    life    aplastic    companion    manifest    destroyed    inappropriate    screening    bone    underlying    inherently    constitute    red    reveal    discovery    lies    inexpensive    tests    personalised    bmfs    haematological    patients    diseases    autoantibody    defective    follows    threatening    misdiagnosis    samples    cells    acquired    takes    made    genetic    clinicians    companies    poc    believe    validity    savings    accuracy    actions    blood    lack    kit    unexplained    rare    carry    erc    therapy    reagent    time    therapies    exclusion    proper    innovation    diagnostic    preliminary    healthcare    marrow    suggesting    diagnosis    serious    vast    subset    pharma    group    laboratory    clinical    hundreds    confirming    simultaneous    cog    pathology    producing    stem    aa    commercialisation    pathogenesis    elderly   

Project "STRATIFY" data sheet

The following table provides information about the project.


Organization address
postcode: 14

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 Finland [FI]
 Total cost 0 €
 EC max contribution 150˙000 € (0%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-PoC
 Funding Scheme ERC-POC-LS
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2021-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Bone marrow failure syndromes (BMFS) such as aplastic anaemia (AA) are a heterogenous group of rare diseases that manifest as loss of red and white blood cells. In these potentially life-threatening diseases, blood producing stem cells may be inherently defective or become destroyed due to acquired cause. Diagnostic difficulties of BMFS constitute a significant clinical problem as the diagnosis takes long, and misdiagnosis may lead to inappropriate management with serious side effects.

In our ERC-CoG project we made an exciting discovery and identified a novel autoantibody in AA patients’ blood samples. Autoantibody positivity defined a distinct group of patients with similar genetic background suggesting common pathogenesis. Our preliminary results show that the autoantibody analysis has great potential to reveal cases of AA and define a subset of other BMFS patients with similar underlying pathology that currently lack proper diagnosis. Furthermore, vast commercialisation potential lies in introducing it as an exclusion laboratory test in patients with unexplained anaemia or leukopenia (common problems in elderly). The improved diagnostic accuracy and the targeted personalised therapy that follows has the potential to impact the lives of hundreds of thousands of patients over time and bring simultaneous healthcare savings. Further, understanding of the role of target protein of the autoantibody in bone marrow failure may lead to targeted therapies in the future.

We believe that the test can be developed as an inexpensive reagent kit to be used in serology machines for autoantibody screening. In order to improve the commercialisation potential, we will carry out 1) Technology PoC for confirming the approach validity, and 2) Pre-commercialisation actions for evaluating the best commercialisation options for bringing the innovation to clinicians managing haematological patients and for pharma companies as companion diagnostic tests together with their therapies.

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

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