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Multiplex analysis of colorectal cancer tissue describes the composition, cell biology and spatial effects of cell-in-cell events and identifies a T cell-dependent prognostic signature

  • Emir Bozkurt
  • , Batuhan Kisakol
  • , Mohammadreza Azimi
  • , Heiko Dussmann
  • , Sanghee Cho
  • , Elizabeth McDonough
  • , Joana Fay
  • , Tony O'Grady
  • , John P Burke
  • , Niamh McCawley
  • , Deborah A McNamara
  • , Daniel B Longley
  • , Fiona Ginty
  • , Jochen H M Prehn (Corresponding Author)

Research output: Working paperPreprint

Abstract

Cell-in-cell (CIC) structures, in which one cell is entirely engulfed by another, have been associated with poor outcomes in cancers. However, the mechanisms underlying this association remain poorly understood. We performed multiplex imaging of 56 cell identity, cell 'state' and cancer 'hallmark' proteins to characterise CICs, map their spatial interactions, and assess clinical associations across 444 tumour cores from 148 colorectal cancer patients, which contained over one million spatially resolved cells. We found that tumour regions containing CICs were associated with lower levels of cytotoxic T cells. We identified upregulated glucose metabolism as a consistent metabolic hallmark of CICs independent of cell type. Spatial analyses revealed that T cells adjacent to CICs underwent selective remodeling with distinct apoptotic and metabolic signatures. Finally, the presence of T cells within CIC neighbourhoods identified a subset of patients with improved survival. Our findings suggest that CICs may be a feature of metabolically competitive niches and a potential factor contributing to T-cell exclusion in tumours.

Original languageEnglish
PublisherbioRxiv : the preprint server for biology
Number of pages21
DOIs
Publication statusPublished - 18 Jul 2025

Publication series

NamebioRxiv
ISSN (Print)2692-8205

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Field of Science*

  • 3.1 Basic medicine
  • 1.6 Biological sciences

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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