Project description
Imaging panel for malignant melanoma diagnosis
Malignant melanoma has a 3 % lifetime incidence and lacks effective diagnostic tools for immunotherapy. Evaluating sentinel lymph nodes (sLNs) is crucial for determining the risk of metastasis. A study of 69 patients utilised spatial transcriptomics and machine learning, achieving 93 % accuracy in predicting metastases from involved sLNs and 79 % from uninvolved ones, indicating improved diagnostic potential. The ERC-funded MelanomaLNs project will develop a multiplexed imaging panel to profile immune organisation in primary tumours and lymph nodes, aiding patient diagnosis and stratification. Designed for clinical workflows, it will be tested on 500 patients with melanoma. This diagnostic assay aims to identify high-risk patients for timely intervention while sparing low-risk patients from unnecessary treatments.
Objective
Malignant melanoma is a deadly disease with a 3% lifetime incidence. Currently, no clinically approved companion diagnostics exist for immunotherapy in melanoma, and sentinel lymph node (sLN) evaluation remains the cornerstone of clinical decision-making. A sensitive, robust, and clinically applicable method for identifying patients at risk of developing metastatic disease is urgently needed.
Studies in murine models have shown that lymph nodes (LNs) play a dual role in tumor immunity, both supporting immune activation essential for immunotherapy and paradoxically promoting metastatic spread by inducing systemic tolerance. We hypothesized that sLNs exhibit both pro- and anti-tumorigenic roles, varying across patients and disease stages. In a study of 69 melanoma patients, we applied spatial transcriptomics and proteomics to analyze sLNs, revealing immunological organization patterns associated with these opposing roles. A machine learning model trained on this data predicted distant metastases with 93% and 79% accuracy in involved and uninvolved LNs, respectively, demonstrating strong potential to improve clinical diagnostics.
Building on these findings, we propose developing a multiplexed imaging panel to profile immune organization in both primary tumors and lymph nodes to guide patient diagnosis and stratification. This panel will be designed for compatibility with clinical workflows and tested on an independent validation cohort of 500 melanoma patients. To pave the way for commercialization, we will explore the market and value chain, identify and engage with relevant industry players and set up a commercialization plan with the aim of positioning our innovation as the new standard for diagnosing and managing melanoma patients. Our diagnostic assay will enhance treatment decisions by identifying high-risk patients at diagnosis, ensuring they receive timely intervention while sparing low-risk patients from unnecessary, potentially harmful and costly treatments.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences biochemistry biomolecules proteins proteomics
- medical and health sciences clinical medicine oncology skin cancer melanoma
- medical and health sciences basic medicine immunology immunotherapy
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-POC
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7610001 Rehovot
Israel
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