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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. €

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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.

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

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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