The 2025 EACR (European Association for Cancer Research) meeting was held in Lisbon June 27-30, 2025. As cancer is characterised by significant changes to tissue architecture, it is no surprise that using spatial biology techniques to map the tumor microenvironment (TME) is of great interest in oncology research. The team presented how our Weave cloud platform enables integration of spatial multi-omics data to help researchers understand the molecular and cellular mechanisms of development or resistance of disease and, ultimately, to match appropriate therapies to patients.

We presented the following EACR posters: 

 “Weave: a software package for integrated spatial multi-omics visualization and data analysis” 

This poster was presented by Thao Tran and is a collaboration with the group of Joe Yeong at A*STAR - Agency for Science, Technology and Research. This poster outlines a computational framework for integration and analysis of  spatial transcriptomics and spatial proteomics performed on the same tissue section using our Weave software. 

To view this poster, please go here.

“In-situ Characterisation of Small Blue Round Cell Tumour Proteome and N-Glycome” 

Alice Ly presented poster EACR25-0475, where a multimodal mass spectrometry imaging approach was used to distinguish Small Round Blue Cell Tumours (SBRCT). MALDI-MSI was employed to spatially profile SBRCT samples, and various classification algorithms were used to assess whether tumor types could be distinguished based on tryptic peptides, N-glycans, or a combined profile, where Weave was used for integrating the peptide–N-glycan data with pathology annotations performed in QuPath. The results showed that the integrated profile provided superior discrimination between SBRCT subtypes compared to using either peptides or N-glycans alone. This study is a collaboration with the Institute of Pathology, TU Munich.  

This poster can be accessed here.

Contact us if you have questions about the above studies, or want to discuss how we can support your own spatial multi-omics projects.

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