Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer

<h3>Background</h3><p dir="ltr">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 c...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hehuan Zhu (4808445) (author)
مؤلفون آخرون: Jessica Roelands (7516439) (author), Eiman I. Ahmed (6595514) (author), Imke Stouten (17901620) (author), Rachel Hoorntje (17901623) (author), Ronald L. P. van Vlierberghe (17901626) (author), Marieke E. Ijsselsteijn (7571399) (author), Xin Lei (1622128) (author), Noel F. C. C. de Miranda (7571405) (author), Rob A. E. M. Tollenaar (8115839) (author), Alexander L. Vahrmeijer (8449359) (author), Davide Bedognetti (2632474) (author), Wouter R. L. Hendrickx (17449924) (author), Peter J. K. Kuppen (9858902) (author)
منشور في: 2024
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_version_ 1864513509692276736
author Hehuan Zhu (4808445)
author2 Jessica Roelands (7516439)
Eiman I. Ahmed (6595514)
Imke Stouten (17901620)
Rachel Hoorntje (17901623)
Ronald L. P. van Vlierberghe (17901626)
Marieke E. Ijsselsteijn (7571399)
Xin Lei (1622128)
Noel F. C. C. de Miranda (7571405)
Rob A. E. M. Tollenaar (8115839)
Alexander L. Vahrmeijer (8449359)
Davide Bedognetti (2632474)
Wouter R. L. Hendrickx (17449924)
Peter J. K. Kuppen (9858902)
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Hehuan Zhu (4808445)
Jessica Roelands (7516439)
Eiman I. Ahmed (6595514)
Imke Stouten (17901620)
Rachel Hoorntje (17901623)
Ronald L. P. van Vlierberghe (17901626)
Marieke E. Ijsselsteijn (7571399)
Xin Lei (1622128)
Noel F. C. C. de Miranda (7571405)
Rob A. E. M. Tollenaar (8115839)
Alexander L. Vahrmeijer (8449359)
Davide Bedognetti (2632474)
Wouter R. L. Hendrickx (17449924)
Peter J. K. Kuppen (9858902)
author_role author
dc.creator.none.fl_str_mv Hehuan Zhu (4808445)
Jessica Roelands (7516439)
Eiman I. Ahmed (6595514)
Imke Stouten (17901620)
Rachel Hoorntje (17901623)
Ronald L. P. van Vlierberghe (17901626)
Marieke E. Ijsselsteijn (7571399)
Xin Lei (1622128)
Noel F. C. C. de Miranda (7571405)
Rob A. E. M. Tollenaar (8115839)
Alexander L. Vahrmeijer (8449359)
Davide Bedognetti (2632474)
Wouter R. L. Hendrickx (17449924)
Peter J. K. Kuppen (9858902)
dc.date.none.fl_str_mv 2024-02-05T03:00:00Z
dc.identifier.none.fl_str_mv 10.3389/fimmu.2024.1293618
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Location_matters_spatial_dynamics_of_tumor-infiltrating_T_cell_subsets_is_prognostic_in_colon_cancer/26491099
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Genetics
Biomedical and clinical sciences
Immunology
Oncology and carcinogenesis
colon cancer
multiplex immunofluorescence
T cell
spatial analysis
tumor microenvironment
immunologic constant of rejection
dc.title.none.fl_str_mv Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background</h3><p dir="ltr">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.</p><h3>Methods</h3><p dir="ltr">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.</p><h3>Results</h3><p dir="ltr">T cell phenotypes were characterized and CD3<sup>+</sup>CD8<sup>-</sup>FoxP3<sup>- </sup>T cells were found to be the predominant tumor-infiltrating subtype while CD3<sup>+</sup>FoxP3<sup>+</sup> T cells and CD3<sup>+</sup>CD8<sup>+</sup> T cells showed similar densities. Spatial distribution analysis elucidated that proliferative T cells, characterized by Ki67 expression, and Granzyme B-expressing T cells were predominantly located within the tumor epithelium. We demonstrated an increase in immune cell density and a decrease in the distance of CD3<sup>+</sup>CD8<sup>+</sup> T cells to the nearest tumor cell, in the immune active, ICR High, immune subtypes. Higher densities of stromal CD3<sup>+</sup>FoxP3<sup>+</sup> T cells showed enhanced survival outcomes, and patients exhibited superior clinical benefits when greater spatial distances were observed between CD3<sup>+</sup>CD8<sup>-</sup>FoxP3<sup>-</sup> or CD3<sup>+</sup>CD8<sup>+</sup> T cells and CD3<sup>+</sup>FoxP3<sup>+</sup> T cells.</p><h3>Conclusion</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Immunology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fimmu.2024.1293618" target="_blank">https://dx.doi.org/10.3389/fimmu.2024.1293618</a></p>
eu_rights_str_mv openAccess
id Manara2_3c71be0fd6347ef80136cdfeb5a9e082
identifier_str_mv 10.3389/fimmu.2024.1293618
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/26491099
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancerHehuan Zhu (4808445)Jessica Roelands (7516439)Eiman I. Ahmed (6595514)Imke Stouten (17901620)Rachel Hoorntje (17901623)Ronald L. P. van Vlierberghe (17901626)Marieke E. Ijsselsteijn (7571399)Xin Lei (1622128)Noel F. C. C. de Miranda (7571405)Rob A. E. M. Tollenaar (8115839)Alexander L. Vahrmeijer (8449359)Davide Bedognetti (2632474)Wouter R. L. Hendrickx (17449924)Peter J. K. Kuppen (9858902)Biological sciencesGeneticsBiomedical and clinical sciencesImmunologyOncology and carcinogenesiscolon cancermultiplex immunofluorescenceT cellspatial analysistumor microenvironmentimmunologic constant of rejection<h3>Background</h3><p dir="ltr">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.</p><h3>Methods</h3><p dir="ltr">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.</p><h3>Results</h3><p dir="ltr">T cell phenotypes were characterized and CD3<sup>+</sup>CD8<sup>-</sup>FoxP3<sup>- </sup>T cells were found to be the predominant tumor-infiltrating subtype while CD3<sup>+</sup>FoxP3<sup>+</sup> T cells and CD3<sup>+</sup>CD8<sup>+</sup> T cells showed similar densities. Spatial distribution analysis elucidated that proliferative T cells, characterized by Ki67 expression, and Granzyme B-expressing T cells were predominantly located within the tumor epithelium. We demonstrated an increase in immune cell density and a decrease in the distance of CD3<sup>+</sup>CD8<sup>+</sup> T cells to the nearest tumor cell, in the immune active, ICR High, immune subtypes. Higher densities of stromal CD3<sup>+</sup>FoxP3<sup>+</sup> T cells showed enhanced survival outcomes, and patients exhibited superior clinical benefits when greater spatial distances were observed between CD3<sup>+</sup>CD8<sup>-</sup>FoxP3<sup>-</sup> or CD3<sup>+</sup>CD8<sup>+</sup> T cells and CD3<sup>+</sup>FoxP3<sup>+</sup> T cells.</p><h3>Conclusion</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Immunology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fimmu.2024.1293618" target="_blank">https://dx.doi.org/10.3389/fimmu.2024.1293618</a></p>2024-02-05T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fimmu.2024.1293618https://figshare.com/articles/journal_contribution/Location_matters_spatial_dynamics_of_tumor-infiltrating_T_cell_subsets_is_prognostic_in_colon_cancer/26491099CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/264910992024-02-05T03:00:00Z
spellingShingle Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
Hehuan Zhu (4808445)
Biological sciences
Genetics
Biomedical and clinical sciences
Immunology
Oncology and carcinogenesis
colon cancer
multiplex immunofluorescence
T cell
spatial analysis
tumor microenvironment
immunologic constant of rejection
status_str publishedVersion
title Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
title_full Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
title_fullStr Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
title_full_unstemmed Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
title_short Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
title_sort Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer
topic Biological sciences
Genetics
Biomedical and clinical sciences
Immunology
Oncology and carcinogenesis
colon cancer
multiplex immunofluorescence
T cell
spatial analysis
tumor microenvironment
immunologic constant of rejection