EventsCancersScape: Spatial Biology of the Tumor Ecosystem
Published
This submission belongs to the session S1. Spatial Multi-Omics Techniques and Approaches 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, High-Plex Spatial Analysis of T Cell Exhaustion Using Imaging Mass Cytometry for Immuno-Oncology Studies , in Proceedings of CancersScape: Spatial Biology of the Tumor Ecosystem, Barcelona, 5 November–7 November 2025, MDPI: Basel, Switzerland
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High-Plex Spatial Analysis of T Cell Exhaustion Using Imaging Mass Cytometry for Immuno-Oncology Studies

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

Deciphering the spatial biology of the tumor microenvironment (TME) can inform researchers about the likelihood of therapeutic success. Of particular interest is the spatial organization of immune cells, especially T cells, which can undergo exhaustion, resulting in reduced effector functions due to expression of inhibitory markers, such as PD-1. Imaging Mass Cytometry™ (IMC™) technology is a quantitative multiplexed spatial imaging technique for the assessment of 40-plus biomarkers simultaneously on the same tissue slide without signal amplification or autofluorescence interference. 

We used IMC technology to investigate the spatial distribution and phenotypic characteristics of immune cells, focusing on exhausted T cells in the TME of multiple cancers. Various IMC imaging modes revealed striking heterogeneity of the TME, including clusters of lymphocytes at the tumor margins, indicative of immune surveillance. Pixel-clustering and single-cell analyses delineated distinct tumor areas based on the extent of T cell exhaustion, immune cell density, cell proliferation, and stromal components. These findings illustrate the power of IMC technology to elucidate the complex spatial landscape of the TME, which may aid in developing prognostic assessments and guide personalized therapeutic strategies for cancer treatments.

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

Keywords
High-Plex Spatial Analysis
T cell exhaustion
Imaging Mass Cytometry
Immuno-oncology studies
The Spatial Landscape of Cancer Hallmarks Reveals Ecosystem-Level Dynamics and Predictors of Therapeutic Response
Spatial Profiling of the Tumor Microenvironment Using Imaging Mass Cytometry: Unraveling Metabolic Reprogramming and Cell Signaling Dynamics in Cancer