Objective
Acute myeloid leukemia (AML) is the most common malignant myeloid disorder in adults and strongly associated in incidence to advanced age. AML arises from immature hematopoietic progenitor cells via a sequential multistep process, but the nature of these steps remains to a large extent unknown. Therefore, while significant efforts have previously been invested in characterizing the molecular properties of late-stage AML, as diagnosed in patients, less information is available on the events that underlie leukemia initiation and progression. This includes the identity of potential mechanisms that restrict or eradicate developing leukemic cells; hurdles evaded at some point in time for AML to occur.
We have developed an inducible transgenic mouse model of AML that, when combined with high-resolution cell fractionation of primitive hematopoietic progenitor cells, offers a unique opportunity to track development of AML from the very first stages of cancer development. Using this, I propose to: 1) Identify and functionally validate molecular determinants that underlie why only some hematopoietic progenitor cells progress into AML, 2) To explore the extent and identity of immune surveillance/editing that accompany progression into AML, and 3) By building on my previous work on hematopoietic aging, to explore AML progression in the context of aging.
I anticipate the LEUKEMIABARRIER project to generate novel basic knowledge, not excluding with clinical relevance, with the potential to open up several new fields for further studies. This includes identification of novel cell-intrinsic regulators and immune responses, their underlying mechanisms, and their relationship to the increased incidence of AML with age.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciencesbasic medicineimmunology
- medical and health sciencesclinical medicineoncologyleukemia
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Call for proposal
ERC-2013-CoG
See other projects for this call
Funding Scheme
ERC-CG - ERC Consolidator GrantsHost institution
22100 LUND
Sweden