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AltCheM SIGNED

In vivo functional screens to decipher mechanisms of stochastically- and mutationally-induced chemoresistance in Acute Myeloid Leukemia

Total Cost €

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EC-Contrib. €

0

Partnership

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 AltCheM project word cloud

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

virtue    intrinsically    mechanisms    persistence    genomic    poorly    myeloid    predict    cell    mutationally    model    shrna    almost    residual    relevance    sequencing    expansion    resistance    mutations    mll    modes    predetermined    initial    mutational    examined    remission    screening    front    mouse    rounds    innovative    pooled    reading    consequence    therapies    experiments    cells    molecular    sustained    libraries    paradigm    few    actively    rna    underlying    regardless    chemoprotective    combining    chemoresistant    ultimately    chemotherapeutic    line    resistant    resist    chemoresistance    mutant    firmly    agents    status    tested    hematology    conduct    effectors    profiling    initiating    re    adults    disease    despite    emergence    mrd    chemotherapy    aml    relapse    mice    therapy    stochastic    acute    genetically    af9    frame    pursue    autonomous    combinations    standard    treatment    collection    decades    fundamental    stochastically    characterization    vivo    exome    leukemia    decipher    patients    fraction    survive    prone    biological    functional    chip    consecutive    minimal    screen    diagnosed    genesis   

Project "AltCheM" data sheet

The following table provides information about the project.

Coordinator
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE 

Organization address
address: RUE DE TOLBIAC 101
city: PARIS
postcode: 75654
website: www.inserm.fr

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 France [FR]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR (PARIS) coordinator 1˙500˙000.00

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 Project objective

Acute Myeloid Leukemia (AML), the most common leukemia diagnosed in adults, represents the paradigm of resistance to front-line therapies in hematology. Indeed, AML is so genetically complex that only few targeted therapies are currently tested in this disease and chemotherapy remains the only standard treatment for AML since the past four decades. Despite an initial sustained remission achieved by chemotherapeutic agents, almost all patients relapse with a chemoresistant minimal residual disease (MRD). The goal of my proposal is to characterize the still poorly understood biological mechanisms underlying persistence and emergence of MRD. MRD is the consequence of the re-expansion of leukemia-initiating cells that are intrinsically more resistant to chemotherapy. This cell fraction may be stochastically more prone to survive front-line therapy regardless of their mutational status (the stochastic model), or genetically predetermined to resist by virtue of a collection of chemoprotective mutations (the mutational model). I have already generated in mice, by consecutive rounds of chemotherapy, a stochastic MLL-AF9-driven chemoresistance model that I examined by RNA-sequencing. I will pursue the comprehensive cell autonomous and cell non-autonomous characterization of this chemoresistant AML disease using whole-exome and ChIP-sequencing. To establish a mutationally-induced chemoresistant mouse model, I will conduct an innovative in vivo screen using pooled mutant open reading frame and shRNA libraries in order to predict which combinations of mutations, among those already known in AML, actively promote chemoresistance. Finally, by combining genomic profiling and in vivo shRNA screening experiments, I will decipher the molecular mechanisms and identify the functional effectors of these two modes of resistance. Ultimately, I will then be able to firmly establish the fundamental relevance of the stochastic and/or the mutational model of chemoresistance for MRD genesis.

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

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