EventsCancersScape: Spatial Biology of the Tumor Ecosystem
Published
This submission belongs to the session S4. Application of Spatial Technologies in Cancer Diagnosis of the event CancersScape: Spatial Biology of the Tumor Ecosystem
Published date
05 Nov, 2025
Academic Editor
author-avatarSamuel Mok
Citation
Maria Escriva Conde, Axel Andersson, Hanna Nyström, Mats Nilsson, Peter Vermeulen, Spatial Transcriptomic Differences in Colorectal Liver Metastasis Growth Patterns: Interferon Signaling and Inflammatory Niches, in Proceedings of CancersScape: Spatial Biology of the Tumor Ecosystem, Barcelona, 5 November–7 November 2025, MDPI: Basel, Switzerland
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Spatial Transcriptomic Differences in Colorectal Liver Metastasis Growth Patterns: Interferon Signaling and Inflammatory Niches

Axel Andersson 2
Peter Vermeulen 3
Mats Nilsson 1
1. Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden, Sweden
2. Department of Diagnostics and Intervention, Surgery, Umeå University, Umeå, Sweden, Sweden
3. Translational Cancer Research Unit, Ziekenhuis aan de Stroom, Campus Augustinus, Antwerp, Belgium, Belgium
4. Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
Abstract

Introduction
Colorectal cancer liver metastases (CRCLM) display distinct histopathological growth patterns (HGPs),
with the replacement (RHGP) and encapsulated (EHGP) patterns linked to markedly different prognoses.
Despite their clinical relevance, the underlying microenvironmental dynamics shaping these growth
patterns remain incompletely understood.
Materials and Methods
We applied in situ sequencing (ISS) to spatially resolve the transcriptomic landscape of CRCLM tissues,
focusing on the tumor–liver interface in RHGP and EHGP lesions. Cellular populations were identified
through unsupervised clustering and annotated based on spatial context and marker-expression profiles.
All patients provided their informed written consent to participate in the tissue biobank of Region
Västerbotten, Sweden.
Results
Our analysis revealed distinct populations of inflamed hepatocytes enriched in RHGP lesions, displaying
reduced hepatocyte identity and signs of inflammatory reprogramming. These cells were predominantly
located at the tumor–liver interface and may be co-opted by tumor-derived signals to promote progression. In contrast, EHGP lesions were characterized by the presence of well-differentiated, non-
inflamed hepatocytes.

EHGP lesions also showed spatial enrichment of interferon-stimulated gene expression in stromal and
tumor cell populations, supporting immune cell recruitment and activation. Furthermore, fibrotic capsules
in EHGP lesions exhibited a zonated structure, with the tumor-facing side influenced by tumor-derived
signals and the liver-facing side displaying features of hepatic stellate cell activation and immune
involvement. This supports a dynamic, immune–fibrotic niche at the tumor border that may restrict
invasion.
Conclusions
Our findings reveal distinct microenvironmental programs associated with RHGP and EHGP in CRCLM,
suggesting divergent mechanisms of tumor–host interaction with potential relevance for patient
stratification and therapeutic intervention.

Keywords
CRCLM
Spatial Transcriptomics
In Situ Sequencing
Growth Patterns
Metastasis
Tumor Microenvironment
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