EMBO | EMBL Symposium: Defining and defeating metastasis: from plasticity to immune evasion to therapy resistance
Event category: EMBL
Date: November 10, 2026 to November 13, 2026
Event website: https://www.embl.org/about/info/course-and-conference-office/events/EES26-05/
Location: EMBL Heidelberg and Virtual, EMBL Advanced Training Centre
Organizers:
Eduard Batlle, Institute for Research in Biomedicine, Barcelona, Spain
Andrew Ewald, Johns Hopkins University School of Medicine, Baltimore, USA
Daniel Klimmeck, EMBO Heidelberg, Germany
Samra Turajilic, The Francis Crick Institute, London, UK
Karin de Visser, Netherlands Cancer Institute, Amsterdam, The Netherlands
Event description
Symposium overview
Metastasis research is a nexus for several of the most exciting areas and technical developments of current cancer biology and translational molecular medicine. High-resolution intravital imaging, single-cell sequencing, and integrated genomics approaches, innovative tissue modelling and co-culture systems for disease screening and patient stratification all have enormous implications for our basic understanding of the mechanisms of this deadly disease, and hold great promises for progress in its successful treatment.
This symposium will cover emerging key concepts of latent metastasis and dissemination of tumour cells including evolution and genetic diversity of metastasis, circulating tumor cells, stemness, dormancy and stromal reprogrammig, transcriptional and epigenetic control, motility and invasive signaling, metastatic heterogeneity, EMT and plasticity, immune evasion, and metabolic adaptations.
The meeting will provide a unique interdisciplinary exchange on current approaches and future collaborations on metastasis and its therapeutic challenges.
Session topics
- Metastasis intiating cells and circulating tumour cells
- Motility and invasion
- Transcriptional and epigenetic control of metastasis
- Metastasis heterogeneity, EMT, and plasticity
- Metastasis signalling and latency
- Tumour micorenvironment and immune evasion
- Sincle cell, spatial transcriptomics, and machine learning techniques
- In vivo modelling of metastasis
#EESMetastasis

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