Project description
Computer-aided design system for breast cancer classification and prognosis of relapse
Breast cancer (BC) incidence leads to more than 600 000 deaths annually. Distant metastasis due to illness relapse is incurable, underscoring the inadequacy of our understanding of its mechanisms. Thus, oncologists use screening programmes based on radiological and histopathological imaging to analyse tumours, study their immune microenvironment and predict the probability of distant metastasis and relapse. Funded by the Marie Skłodowska-Curie Actions programme, the BosomShield project proposes to join the two disciplines (pathological and radiological imaging) in a software that will analyse these images to classify cancer subtypes and predict distant metastasis and relapse. BosomShield will also provide high-level training to young researchers, advancing their skills and career prospects in BC research.
Objective
Breast cancer (BC) incidence in women produces more than 600,000 deaths each year. The primary cause of death in BC patients is metastasis, whereby cancer cells spread from their primary site of origin and grow in adjacent or distant sites. Distant metastasis produced due to the relapse of the illness is incurable, underscoring the inadequacy of our understanding of its mechanisms. The first step for fighting against disease progression is screening programs for BC focused on image analysis of mammography, MRI and tomosynthesis. Once the tumour has been diagnosed and given the high variability of clinical progressions, another problem arises: classifying the cancer type and determining the proper treatment for specific cancer. Moreover, in BC, the immune response from the tumour microenvironment has played an essential role in tumour evolution. To evaluate the tumour and its microenvironment, one technique garnered a lot of attention in the last years: Whole Slide Imaging (WSI). This technique replaces the use of the microscope for classical diagnosis. Still, it has also been used for developing biomarkers that allow the analysis of tumours and classification of cancer subtypes and the study of the immune tumour microenvironment. The use of WSI has applications for predicting the probability of relapse for distant metastasis. Now, for the first time, BosomShield proposes to join the two disciplines (pathological and radiological imaging) in a software that will analyze these images to classify the cancer subtypes and predict (together with the complete clinical history of the patient) the probability of relapse for distant metastasis. Besides, BosomShield will provide high-level training in BC research to young researchers by offering the necessary transferable skills for thriving careers underpinned using diverse disciplines, digital radiology and pathology, biomedical, AI, privacy and software development.
Fields of science
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
43003 Tarragona
Spain
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Participants (9)
100 44 Stockholm
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6525 GA Nijmegen
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43003 Tarragona
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02 109 Warszawa
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33100 Udine
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25000 BESANCON
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2000 Maribor
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08700 Igualada
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
69123 HEIDELBERG
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (15)
31750 Bandar Seri Iskandar
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77030 Houston
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21000 Dijon
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34149 Trieste
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2000 Maribor
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
12309 Niskayuna
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64295 Darmstadt
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43204 Reus
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22100 Lund
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2000 Maribor
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41071 Sevilla
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33100 Udine
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21078 Dijon Cedex
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43500 Tortosa
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6525 XZ Nijmegen
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