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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 €

0

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.

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

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

Map

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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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