Evidence map›Paper›PMID 40791352›Full record

ArticlebioRxiv : the preprint server for biology2025

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 and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Emir BozkurtDepartment of Physiology and Medical Physics & RCSI Centre for Systems Medicine, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin 2, Ireland.ORCID 0000-0003-4703-397X
Batuhan KisakolDepartment of Physiology and Medical Physics & RCSI Centre for Systems Medicine, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin 2, Ireland.ORCID 0000-0002-8732-5216
Mohammadreza AzimiDepartment of Physiology and Medical Physics & RCSI Centre for Systems Medicine, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin 2, Ireland.ORCID 0000-0002-9036-2122
Heiko DussmannDepartment of Physiology and Medical Physics & RCSI Centre for Systems Medicine, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin 2, Ireland.ORCID 0000-0002-3582-8057
Sanghee ChoGE HealthCare Technology & Innovation Center (Formerly GE Research Center), 1 Research Circle, Niskayuna, NY, 12309, U.S.A.
Elizabeth McDonoughGE HealthCare Technology & Innovation Center (Formerly GE Research Center), 1 Research Circle, Niskayuna, NY, 12309, U.S.A.ORCID 0000-0001-7524-8260
Joana FayDepartment of Pathology, RCSI University of Medicine and Health Sciences, Beaumont Hospital, Dublin 9, Ireland.ORCID 0000-0001-6294-2886
Tony O'GradyDepartment of Pathology, RCSI University of Medicine and Health Sciences, Beaumont Hospital, Dublin 9, Ireland.
John P BurkeDepartment of Surgery, RCSI University of Medicine and Health Sciences, Beaumont Hospital, Dublin 9, Ireland.
Niamh McCawleyDepartment of Surgery, RCSI University of Medicine and Health Sciences, Beaumont Hospital, Dublin 9, Ireland.
Deborah A McNamaraDepartment of Surgery, RCSI University of Medicine and Health Sciences, Beaumont Hospital, Dublin 9, Ireland.ORCID 0000-0003-3975-0485
Daniel B LongleyQueens University, School of Medicine, Dentistry and Biomedical Sciences, Patrick G Johnston Centre for Cancer Research, 97 Lisburn Road, Belfast, BT9 AE, U.K.ORCID 0000-0003-2495-2033
Fiona GintyGE HealthCare Technology & Innovation Center (Formerly GE Research Center), 1 Research Circle, Niskayuna, NY, 12309, U.S.A.ORCID 0000-0001-6638-683X
Jochen H M PrehnDepartment of Physiology and Medical Physics & RCSI Centre for Systems Medicine, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin 2, Ireland.ORCID 0000-0003-3479-7794

Funding

Systems Modeling of Tumor Heterogeneity and Therapy Response in Colorectal CancerR01CA208179 · NCI · GENERAL ELECTRIC GLOBAL RESEARCH CTR · PI GINTY, FIONA · 2017 to 2021
$3.5M
NCI NIH HHS R01 CA208179
6 · The paper itself

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.

Indexed as

Cell-in-cellcolorectal canceremperipolesisentosisT-cell exclusion

Identifiers

PMID40791352
PMCPMC12338647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.