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.

Subsidie
€ 1.497.981
2024

Projectdetails

Introduction

Tumors are heterogeneous in nature due to genetic instability, ongoing selection, and variable microenvironments with local adaptation. Many tumors thus necessitate combinatorial drug treatments to reach all cells. This is true also for neuroblastoma, the most common extracranial solid pediatric tumor.

Importance of Clonal Heterogeneity

Despite the well-known importance of clonal heterogeneity, most in vitro drug combination strategies, including commonly used synergistic interaction, do not quantify subclonal drug response. Here, recently developed cell barcoding strategies will be used to monitor the survival of thousands of individual subclones in neuroblastoma organoids under different drug perturbations.

Precision Lethality Strategy

This lineage tracing strategy allows identification of cell populations that survive a specific drug and to find other drugs that specifically target those cell populations. I call this strategy “Precision Lethality”.

Methodologies

In this research program, two different precision lethality methodologies will be developed:

  1. One where cell barcoding is used to identify drug combinations with low cross-resistance.
  2. One that uses the possibility to express the barcode so it can be captured by single-cell RNA sequencing.

This allows assessing the transcriptional state before drug perturbation of cells that are known to be either drug resistant or drug sensitive.

Integration with Data Repositories

Combined with publicly available drug sensitivity data repositories, this will be used to construct a deep learning model to predict drug sensitivities of individual cells.

Conclusion

Successful completion of this multi-disciplinary research program will identify and verify new drugs to complement standard of care consolidation therapy for neuroblastoma. I also envision that these studies will showcase to the broader cancer research community how cell barcoding can be used as a drug combination strategy to overcome clonal heterogeneity, which would increase the chances of finding curative cancer treatments.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.497.981
Totale projectbegroting€ 1.497.981

Tijdlijn

Startdatum1-1-2024
Einddatum31-12-2028
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • KAROLINSKA INSTITUTETpenvoerder

Land(en)

Sweden

Vergelijkbare projecten binnen European Research Council

ERC Consolid...

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.

€ 2.000.000
ERC Starting...

Applying novel single-cell multiomics to elucidate leukaemia cell plasticity in resistance to targeted therapy

This project aims to develop a single-cell multiomics method to understand epigenetic resistance mechanisms in AML, enhancing treatment strategies against drug resistance.

€ 1.882.440
ERC Consolid...

Cancer cell plasticity on targeted therapy

This project aims to develop innovative cancer therapies by analyzing tumor heterogeneity and targeting drug-tolerant persister cells to prevent resistance and improve patient outcomes.

€ 2.000.000
ERC Starting...

Understanding and targeting cancer persister cells

This project aims to develop tools for studying cancer persister cells using single-cell lineage tracing to enhance understanding and treatment of therapy-resistant tumors.

€ 1.728.750
ERC Advanced...

From understanding to rational design of next-generation cancer therapies

The project aims to enhance cancer treatment efficacy by combining immunotherapy with ultra-low dose therapies to exploit sublethal damage in tumor cells, improving tolerability and clinical outcomes.

€ 2.499.893