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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.

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

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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