Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer.
T cell
colon cancer
immunologic constant of rejection
multiplex immunofluorescence
spatial analysis
tumor microenvironment
Journal
Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960
Informations de publication
Date de publication:
2024
2024
Historique:
received:
13
09
2023
accepted:
16
01
2024
medline:
20
2
2024
pubmed:
20
2
2024
entrez:
20
2
2024
Statut:
epublish
Résumé
Colon cancer is a heterogeneous disease and consists of various molecular subtypes. Despite advances in high-throughput expression profiling, limitations remain in predicting clinical outcome and assigning specific treatment to individual cases. Tumor-immune interactions play a critical role, with tumors that activate the immune system having better outcome for the patient. The localization of T cells within tumor epithelium, to enable direct contact, is essential for antitumor function, but bulk DNA/RNA sequencing data lacks spatial distribution information. In this study, we provide spatial T cell tumor distribution and connect these data with previously determined genomic data in the AC-ICAM colon cancer patient cohort. Colon cancer patients (n=90) with transcriptome data available were selected. We used a custom multiplex immunofluorescence assay on colon tumor tissue sections for quantifying T cell subsets spatial distribution in the tumor microenvironment, in terms of cell number, location, mutual distance, and distance to tumor cells. Statistical analyses included the previously determined Immunologic Constant of Rejection (ICR) transcriptome correlation and patient survival, revealing potential prognostic value in T cell spatial distribution. T cell phenotypes were characterized and CD3 Our study's in-depth analysis of the spatial distribution and densities of major T cell subtypes within the tumor microenvironment has provided valuable information that paves the way for further research into the intricate relationships between immune cells and colon cancer development.
Sections du résumé
Background
UNASSIGNED
Colon cancer is a heterogeneous disease and consists of various molecular subtypes. Despite advances in high-throughput expression profiling, limitations remain in predicting clinical outcome and assigning specific treatment to individual cases. Tumor-immune interactions play a critical role, with tumors that activate the immune system having better outcome for the patient. The localization of T cells within tumor epithelium, to enable direct contact, is essential for antitumor function, but bulk DNA/RNA sequencing data lacks spatial distribution information. In this study, we provide spatial T cell tumor distribution and connect these data with previously determined genomic data in the AC-ICAM colon cancer patient cohort.
Methods
UNASSIGNED
Colon cancer patients (n=90) with transcriptome data available were selected. We used a custom multiplex immunofluorescence assay on colon tumor tissue sections for quantifying T cell subsets spatial distribution in the tumor microenvironment, in terms of cell number, location, mutual distance, and distance to tumor cells. Statistical analyses included the previously determined Immunologic Constant of Rejection (ICR) transcriptome correlation and patient survival, revealing potential prognostic value in T cell spatial distribution.
Results
UNASSIGNED
T cell phenotypes were characterized and CD3
Conclusion
UNASSIGNED
Our study's in-depth analysis of the spatial distribution and densities of major T cell subtypes within the tumor microenvironment has provided valuable information that paves the way for further research into the intricate relationships between immune cells and colon cancer development.
Identifiants
pubmed: 38375478
doi: 10.3389/fimmu.2024.1293618
pmc: PMC10875018
doi:
Banques de données
figshare
['10.6084/m9.figshare.16944775']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1293618Informations de copyright
Copyright © 2024 Zhu, Roelands, Ahmed, Stouten, Hoorntje, van Vlierberghe, Ijsselsteijn, Lei, de Miranda, Tollenaar, Vahrmeijer, Bedognetti, Hendrickx and Kuppen.
Déclaration de conflit d'intérêts
DB reports employment with Kite, a Gilead Company. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.