ArticleFrontiers in immunology2024
Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 12 citations in OpenAlex.
- HLA class I expression and tumor immune infiltration together shape colon cancer immune contexture.Neoplasia (New York, N.Y.) · 2026Article
- Differences in T-cell Densities and Neighborhood Patterns in Human Colorectal Adenomas and Sessile Serrated Lesions.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Single-cell TCR mapping reveals spatially coordinated T cell states in head and neck cancer.Science immunology · 2026Article
- Unraveling the Effects and Characteristics of Proliferating Tumor and Cytotoxic T Cells in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- The evolving role of the immune microenvironment of tumor draining lymph nodes in the development of biomarkers of non-small cell lung cancer.Frontiers in oncology · 2026Review
- The tumor immune microenvironment of thyroid cancer and colorectal cancer: cellular crosstalk and therapeutic implications.Frontiers in immunology · 2026Review
- The Need for a Systems Biology Approach in Cancer Explained.International journal of molecular sciences · 2025Review
- Cancer-associated fibroblasts shape the formation of budding cancer cells at the invasive front of human colorectal cancer.Communications biology · 2025Article
- Density of T-cell Subsets in Colorectal Cancer in Relation to Disease-Specific Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Mapping intratumoral myeloid-T cell interactomes at single-cell resolution reveals targets for overcoming checkpoint inhibitor resistance.bioRxiv : the preprint server for biology · 2024Article
- Colon Cancer Disease Diagnosis Based on Convolutional Neural Network and Fishier Mantis Optimizer.Diagnostics (Basel, Switzerland) · 2024Article
- Association between somatic microsatellite instability, hypermutation status, and specific T cell subsets in colorectal cancer tumors.Frontiers in immunology · 2024Article
- The influence of diabetes mellitus on blood vessels' amounts and immune status in case of breast cancer.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: 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: 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: T cell phenotypes were characterized and CD3 Conclusion: 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.
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