EventsCancersScape: Spatial Biology of the Tumor Ecosystem
Published
This submission belongs to the session S2. Spatial Intra-Tumoral Heterogeneity in the Tumor Microenvironment of the event CancersScape: Spatial Biology of the Tumor Ecosystem
Published date
05 Nov, 2025
Academic Editor
author-avatarSamuel Mok
Citation
Gloria Martrus-Zapater, Thomas D. Pfister, Jyh Yun Chwee, Qanber Raza, Nikesh Parsotam, David Howell, Liang Lim, Christina Loh, Spatial Profiling of the Tumor Microenvironment Using Imaging Mass Cytometry: Unraveling Metabolic Reprogramming and Cell Signaling Dynamics in Cancer , in Proceedings of CancersScape: Spatial Biology of the Tumor Ecosystem, Barcelona, 5 November–7 November 2025, MDPI: Basel, Switzerland
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Spatial Profiling of the Tumor Microenvironment Using Imaging Mass Cytometry: Unraveling Metabolic Reprogramming and Cell Signaling Dynamics in Cancer

Thomas D. Pfister 2
Jyh Yun Chwee 2
Qanber Raza 2
Nikesh Parsotam 2
David Howell 2
Liang Lim 2
Christina Loh 2
1. Standard BioTools, Spain
2. Standard BioTools, Canada
Abstract

The tumor microenvironment (TME) is a complex cellular ecosystem, which in turn influences tumor development and treatment response. Understanding cellular interactions within the TME is essential for elucidating disease progression and advancing immunotherapy. Imaging Mass Cytometry™ (IMC™) is a spatial biology imaging technique that enables deep characterization of the TME. This approach offers scalable and high-throughput acquisition while generating high-quality data without fluorescence-based limitations such as spectral overlap and autofluorescence.

We used IMC to map key pathways in metabolic reprogramming and signaling within the TME by utilizing a ready-to-use immuno-oncology IMC panel. This allowed us to investigate processes that regulate energy production, cellular homeostasis and mitogenic signaling pathways. We acquired data using Preview Mode to assess the whole tissue, followed by higher-resolution imaging of selected regions of interest using Cell Mode, or whole tissue section imaging using Tissue Mode.

Data analysis revealed the metabolic profile and organization of cells across cancer tissues. Elevated glycolysis and mTOR pathway activation suggested adaptations to hypoxia and anabolic growth in tumors, while interactions between fibroblasts and immune cells highlighted crosstalk within the TME. Unsupervised pixel and hierarchical clustering using MCD™ SmartViewer offered measurement of metabolic activity and signaling pathway activation within tumors.

Spatial biology profiling using IMC highlights the interconnected roles these pathways play in promoting tumor survival and resistance to therapies. These findings are crucial for developing future prognostic assessments and have the potential to guide more effective, personalized cancer therapies.

For Research Use Only. Not for use in diagnostic procedures.

Keywords
Imaging Mass Cytometry
Tumor Microenvironment
personalized cancer therapies
High-Plex Spatial Analysis of T Cell Exhaustion Using Imaging Mass Cytometry for Immuno-Oncology Studies
INVESTIGATION OF TERTIARY LYMPHOID STRUCTURES TO ADDRESS AUTOIMMUNITY IN THYMIC EPITHELIAL TUMORS