Decoding and Targeting Treatment-Resistant Metastatic Neuroblastoma
This project aims to develop advanced models to study treatment resistance in neuroblastoma, identify novel therapeutic targets, and validate combination therapies for relapsed cases.
Projectdetails
Introduction
The childhood cancer neuroblastoma (NB) is a major challenge in pediatric oncology, and children with relapse have a very poor prognosis due to treatment-resistance at metastatic sites. There is an urgent need to better understand NB treatment resistance to inform the design of novel therapeutic strategies. However, current models do not mimic relapsed human NB in its most common metastatic niches in the bone and bone marrow. We recently developed advanced patient-derived and humanized NB in vivo models and 3D tumor organoid models which are excellent tools for preclinical drug testing. Here, we aim to further develop and exploit these models, investigate mechanisms of NB metastatic treatment resistance/relapse, and target relapsed NB with combination therapies.
Model Development
First, we will develop patient-derived in vivo and ex vivo models of relapsed NB in the human metastatic bone marrow niche exposed to standard-of-care chemotherapy treatment.
Investigation Focus
These models will be exploited to investigate mechanisms of metastasis and treatment escape upon therapy and at relapse. We will:
- Integrate NB and stromal cell lineages, cell states, and molecular details with phenotype and drug response.
- Elucidate NB tumor cell plasticity and clonal evolution.
Therapeutic Target Identification
The mechanistic data and our new models will help us to identify novel therapeutic targets and compounds targeting relapsing and resistant NB, which we will validate experimentally.
Expected Outcomes
The project will lead to a deeper understanding of NB metastatic treatment resistance and identification of novel cell state-directed treatments to target resistant and metastatic disease.
Research Expertise
My combined background in clinical medicine/pathology, in vivo/ex vivo modeling, NB chemoresistance, and preclinical drug testing coupled with the development and application of state-of-the-art advanced assays will generate the next generation of patient-derived models, mechanistic insight, and novel treatment against relapsed NB.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.000.000 |
Totale projectbegroting | € 2.000.000 |
Tijdlijn
Startdatum | 1-6-2024 |
Einddatum | 31-5-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- LUNDS UNIVERSITETpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Precision Lethality to overcome clonal heterogeneity in high-risk neuroblastoma
This project aims to develop precision lethality methodologies using cell barcoding to identify effective drug combinations for treating neuroblastoma, overcoming clonal heterogeneity.
Decrypting neuro-cancer crosstalk in pediatric cancers of the peripheral nervous system
This project aims to explore the interactions between neurobiology and neuroblastoma to identify therapeutic targets and define subtypes benefiting from neuro-related treatments.
Developmentally programmed pediatric sarcomas: a versatile platform for drug discovery and molecular precision medicine
The project aims to develop innovative in vitro and in vivo models of Ewing sarcoma using human pluripotent stem cells to enhance drug discovery and precision medicine for pediatric cancers.
Deciphering METAstasis of lung cancer to BRAIN and developing new therapeutic approaches via a human metastatic cascade platform
META-BRAIN aims to develop a human-based in vitro model to study cancer brain metastasis, the role of the blood-brain barrier, and create targeted drug delivery systems for effective treatment.
Dynamics of Adaptation and Resistance in Cancer: MApping and conTrolling Transcriptional and Epigenetic Recurrence
This project aims to uncover the mechanisms of drug resistance in colorectal cancer through innovative models and computational methods, ultimately improving treatment strategies and patient outcomes.
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