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Translating Epigenetic Memory into Personalized Prognostic Solutions for Chronic Lymphocytic Leukemia

Project description

Solutions for chronic lymphocytic leukaemia prognosis

Predicting the clinical behaviour of chronic lymphocytic leukaemia (CLL) is challenging, as the disease can remain stable for years or progress to aggressive forms with a poor prognosis. DNA methylation is related to cellular identity, and can help track cancer evolution, with each aspect holding significant prognostic value. Can these variables be combined into a single score? The ERC-funded TEMPLe project aims to use information about cellular memory in the cancer epigenome. By integrating three key variables, it will generate personalised risk scores to predict outcomes for CLL. The project will develop a user-friendly digital platform for risk prediction and prognosis assessment, coordinating closely with the Technology Transfer Office and IP experts to establish a robust intellectual property strategy.

Objective

Predicting the future clinical behaviour of a patient’s cancer remains a major scientific and clinical challenge. Chronic Lymphocytic Leukaemia (CLL), the most common leukaemia in the Western world, exhibits a broad range of clinical behaviours. The disease begins with a premalignant state that can later progress into an asymptomatic, progressive and highly aggressive form with a poor prognosis. Predicting the risk and timing of progression is a major unmet clinical need in CLL. Through our ERC-SyG grant BCLLatlas and previous studies, we have revealed that DNA methylation plays a key role in cellular identity and memory. These observations indicate that: 1) neoplastic cells carry epigenetic imprints of their cellular origin allowing the distinction of epigenetic subtypes; 2) a mitotic clock traces the proliferative history of cancer cells; and 3) stochastically fluctuating DNA methylation serves as a molecular barcode to track cancer evolutionary dynamics. In CLL, all three nuances of epigenetic memory have a profound and independent prognostic impact. Can these independent prognostic variables be integrated into a single score? In TEMPLe, we propose to leverage the rich information on cellular memory that is encoded within the cancer epigenome by integrating these three variables and generating personalized risk-scores to predict future clinical outcomes of CLL. We will make significant steps towards developing solutions suitable for clinical translation by 1) generating a user-friendly digital platform for risk prediction and prognosis assessment, 2) defining the intellectual property (IP) strategy and best exploitation route in close collaboration with the Technology Transfer Office and IP experts. In the medium term this will improve the clinical management of CLL, and in the long term, this strategy could be applied to other cancers, providing a valuable global asset in precision oncology.

Fields of science (EuroSciVoc)

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

(opens in new window) ERC-2025-POC

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Host institution

FUNDACIO DE RECERCA CLINIC BARCELONA-INSTITUT D INVESTIGACIONS BIOMEDIQUES AUGUST PI I SUNYER
Net EU contribution
€ 150 000,00
Address
CARRER ROSSELLO 149
08036 Barcelona
Spain
Region
Este Cataluña Barcelona
Activity type
Research Organisations
Links
Total cost
No data

Beneficiaries (1)