ERC FUNDED PROJECTS

"Heart failure is a serious clinical disorder that represents the primary cause of hospitalization and death in Europe and the United States. There is a dire need for new paradigms and therapeutic approaches for treatment of this devastating disease. The heart responds to mechanical load and various extracellular stimuli by hypertrophic growth and sustained pathological hypertrophy is a major clinical predictor of heart failure. A variety of stress-responsive signaling pathways promote cardiac hypertrophy, but the precise mechanisms that link these pathways to cardiac disease are only beginning to be unveiled. Signal transduction is traditionally concentrated on the protein coding part of the genome, but it is now appreciated that the protein coding part of the genome only constitutes 1.5% of the genome. RNA based mechanisms may provide a more complete understanding of the fundamentals of cellular signaling. As a proof-of-principle, we focus on a principal hypertrophic signaling cascade, cardiac calcineurin/NFAT signaling. Here we will establish that microRNAs are intimately interwoven with this signaling cascade, influence signaling strength by unexpected upstream mechanisms. Secondly, we will firmly establish that microRNA target genes critically contribute to genesis of heart failure. Third, the surprising stability of circulating microRNAs has opened the possibility to develop the next generation of biomarkers and provide unexpected mechanisms how genetic information is transported between cells in multicellular organs and fascilitate inter-cellular communication. Finally, microRNA-based therapeutic silencing is remarkably powerful and offers opportunities to specifically intervene in pathological signaling as the next generation heart failure therapeutics. CALMIRS aims to mine the wealth of these RNA mechanisms to enable the development of next generation RNA based signal transduction biology, with surprising new diagnostic and therapeutic opportunities."

1 499 528 €

Start date: 2013-02-01, End date: 2018-01-31

Recent advances in genome sequencing illustrate the complexity, heterogeneity and plasticity of cancer genomes. In leukemia - a group of blood cancers affecting 300,000 new patients every year – we know over 100 driver mutations. This genetic complexity poses a daunting challenge for the development of targeted therapies and highlights the urgent need for evaluating them in combination. One gene class that has recently emerged as highly promising target space are chromatin regulators, which maintain aberrant cell fate programs in leukemia. The dependency on altered chromatin states is thought to provide great therapeutic opportunities, since epigenetic aberrations are reversible and controlled by a machinery that is amenable to drug modulation. However, the precise mechanisms underlying these dependencies and the most effective and safe targets to exploit them therapeutically remain unknown. Here we propose an innovative approach combining genetically engineered leukemia mouse models and advanced in-vivo RNAi technologies to explore chromatin-associated vulnerabilities at an unprecedented level of depth. Following a first screen in MLL-AF9;Nras-driven AML, which led to the discovery of BRD4 as a promising therapeutic target, we aim to (1) construct a knockdown-validated shRNA library targeting 520 chromatin regulators and use it to comparatively probe chromatin-associated dependencies in diverse leukemia subtypes; (2) explore the mechanistic basis of response and resistance to suppression of BRD4 and new chromatin-associated targets; and (3) pioneer a system for multiplexed combinatorial RNAi screening and use it to identify synergies between established and new chromatin-associated targets. We envision that this ERC-funded project will generate a comprehensive functional-genetic dataset that will greatly complement ongoing genome and epigenome profiling studies and ultimately guide the development of targeted therapies for leukemia and, potentially, other cancers.

1 498 985 €

Start date: 2014-01-01, End date: 2018-12-31

Targeted therapy (TT) is frequently used to treat metastatic cancer. Although TT can achieve effective tumor control for several months, durable treatment responses are rare, due to emergence of aggressive, drug-resistant clones (RCs) with high metastatic competence. Tumor heterogeneity and plasticity result in multifaceted resistance mechanisms and targeting RCs poses a daunting challenge. To better understand the clinical emergence of RCs, my work focuses on the poorly understood events during TT-induced tumor regression. We recently reported that during this phase drug-responsive cancer cells release a therapy-induced secretome, which remodels the tumor microenvironment (TME) and propagates disease relapse by promoting the survival of drug-sensitive cells and stimulating the outgrowth of RCs. Consequently, intervening with combination therapies during the tumor regression period has the potential to prevent the clinical emergence of RCs in the first place. Here, we outline strategies to (1) understand how RCs emerge and (2) to leverage our findings on the TME remodeling for combination therapies. First, we will develop a novel and innovative parental clone-lookup method, that will allow us to identify and isolate treatment-naïve, parental clones (PCs) that gave rise to RCs. In functional experiments, we will assess (i) whether PCs were already resistant before or developed resistance during TT, (ii) whether PCs have a higher susceptibility to develop resistance than random clones, and (iii) the mechanistic basis for metastatic competence in different clones. Second, we will study the TT-induced TME remodeling, focusing on the effects on tumor vasculature and immune cells. We will utilize our results to target PCs and RCs by combining TT in the phase of tumor regression with other therapies, such as immunotherapies. Our study will provide new mechanistic insights into the biological processes during tumor regression and aims for novel therapeutic strategies.

1 500 000 €

Start date: 2018-03-01, End date: 2023-02-28

Bone marrow (BM) fibrosis is the continuous replacement of blood forming cells in the bone marrow by scar tissue, ultimately leading to failure of the body to produce blood cells. Primary myelofibrosis (PMF), an incurable blood cancer, is the prototypic example of the step-wise development of BM fibrosis. The specific mechanisms that cause BM fibrosis are not understood, in particular as the cells driving fibrosis have remained obscure. My recent findings demonstrate that Gli1+ cells are fibrosis-driving cells in PMF, that their frequency correlates with fibrosis severity in patients, and that their ablation ameliorates BM fibrosis. These results indicate that Gli1+ cells are the primary effector cells in BM fibrosis and that they represent a highly attractive therapeutic target. This puts me in a unique position to vastly expand our knowledge of the BM fibrosis pathogenesis, improve diagnostics, and discover new therapeutic strategies for this fatal disease. I will do this by: 1) dissecting the molecular and cellular mechanisms of the fibrotic transformation, 2) defining the stepwise disease evolution by genetic fate tracing and analysis of the previously unknown critical effector cells of BM fibrosis , 3) understanding early forms of BM fibrosis for improved diagnostics in patients, all with the ultimate aim to identify novel therapeutic targets to directly block the cellular and molecular changes occuring in BM fibrosis. I will apply state-of-the-art techniques, including genetic fate tracing experiments, conditional genetic knockout mouse models, tissue engineering of the bone marrow niche and in vivo and in vitro CRISPR/Cas9 gene editing, to unravel the complex molecular and cellular interaction between fibrosis-causing cells and the malignant hematopoietic cells. I will translate these findings into patient samples with the aim to improve the early diagnosis of the disease and to ultimately develop novel targeted therapies with curative intentions.

1 498 544 €

Start date: 2018-01-01, End date: 2022-12-31