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DTSTAMP:20260617T150717Z
UID:23545cb1-9dd8-4574-b21d-555b09d2e929
DTSTART:20230125T090000Z
DTEND:20230125T170000Z
DESCRIPTION:Monocyte-derived macrophages help maintain tissue homeostasis a
 nd defend the organism against pathogens. In tumours\, recent studies have
  uncovered complex macrophage populations\, including tumour-associated ma
 crophages\, which support tumorigenesis through cancer hallmarks such as i
 mmunosuppression\, angiogenesis or matrix remodelling. In the case of chro
 nic lymphocytic leukaemia\, these macrophages are known as nurse-like cell
 s and they protect leukemic cells from spontaneous apoptosis contributing 
 to their chemoresistance. We propose an agent-based model of monocyte diff
 erentiation into nurse-like cells upon contact with leukemic B cells in vi
 tro. We performed patient-specific model calibrations using cultures of pe
 ripheral blood mononuclear cells from patients. Using our model\, we were 
 able to reproduce temporal survival dynamics of cancer cells in a patient-
 specific manner and to identify patient groups related to distinct macroph
 age phenotypes. Our results show a potentially important role of phagocyto
 sis in the polarization process of nurse-like cells and in promoting cance
 r cells' enhanced survival\n\n### About the speaker\n\nDr Vera Pancaldi wa
 s trained as a physicist and soon found her way in systems and computation
 al biology. Since 2018 she leads a computational biology team at the [Canc
 er Research Center of Toulouse](https://www.crct-inserm.fr/en/)(CRCT) work
 ing on modelling cancer and its interactions with the immune system.   
       \n Her main current focus is understanding the relationship betwe
 en genome architecture and heterogeneity at various levels and relating he
 terogeneity in the phenotype of tumour infiltrating immune cells to patien
 t's response to immunotherapy.
LOCATION:\, 
SUMMARY:Data-driven modelling of intercellular interactions in the tumour m
 icroenvironment
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/data-driven-modelling-i
 ntercellular-interactions-tumour-microenvironment
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