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Autori principali: Mohammadreza Azimi, Sanghee Cho, Emir Bozkurt, Elizabeth McDonough, Batuhan Kisakol, Anna Matveeva, Manuela Salvucci, Heiko Dussmann, Simon McDade, Canan Firat, Nil Urganci, Jinru Shia, Daniel B Longley, Fiona Ginty, Jochen HM Prehn
Natura: Artículo Open Access
Pubblicazione: Wiley 2024
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Accesso online:https://pathsocjournals.onlinelibrary.wiley.com/doi/10.1002/path.6327
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author Mohammadreza Azimi
Sanghee Cho
Emir Bozkurt
Elizabeth McDonough
Batuhan Kisakol
Anna Matveeva
Manuela Salvucci
Heiko Dussmann
Simon McDade
Canan Firat
Nil Urganci
Jinru Shia
Daniel B Longley
Fiona Ginty
Jochen HM Prehn
author_facet Mohammadreza Azimi
Sanghee Cho
Emir Bozkurt
Elizabeth McDonough
Batuhan Kisakol
Anna Matveeva
Manuela Salvucci
Heiko Dussmann
Simon McDade
Canan Firat
Nil Urganci
Jinru Shia
Daniel B Longley
Fiona Ginty
Jochen HM Prehn
Mohammadreza Azimi
Sanghee Cho
Emir Bozkurt
Elizabeth McDonough
Batuhan Kisakol
Anna Matveeva
Manuela Salvucci
Heiko Dussmann
Simon McDade
Canan Firat
Nil Urganci
Jinru Shia
Daniel B Longley
Fiona Ginty
Jochen HM Prehn
collection Wiley Open Access
contents Spatial effects of infiltrating T cells on neighbouring cancer cells and prognosis in stage III CRC patients Mohammadreza Azimi Sanghee Cho Emir Bozkurt Elizabeth McDonough Batuhan Kisakol Anna Matveeva Manuela Salvucci Heiko Dussmann Simon McDade Canan Firat Nil Urganci Jinru Shia Daniel B Longley Fiona Ginty Jochen HM Prehn The Journal of Pathology Abstract Colorectal cancer (CRC) is one of the most frequently occurring cancers, but prognostic biomarkers identifying patients at risk of recurrence are still lacking. In this study, we aimed to investigate in more detail the spatial relationship between intratumoural T cells, cancer cells, and cancer cell hallmarks as prognostic biomarkers in stage III colorectal cancer patients. We conducted multiplexed imaging of 56 protein markers at single‐cell resolution on resected fixed tissue from stage III CRC patients who received adjuvant 5‐fluorouracil (5FU)‐based chemotherapy. Images underwent segmentation for tumour, stroma, and immune cells, and cancer cell ‘state’ protein marker expression was quantified at a cellular level. We developed a Python package for estimation of spatial proximity, nearest neighbour analysis focusing on cancer cell–T‐cell interactions at single‐cell level. In our discovery cohort (Memorial Sloan Kettering samples), we processed 462 core samples (total number of cells: 1,669,228) from 221 adjuvant 5FU‐treated stage III patients. The validation cohort (Huntsville Clearview Cancer Center samples) consisted of 272 samples (total number of cells: 853,398) from 98 stage III CRC patients. While there were trends for an association between the percentage of cytotoxic T cells (across the whole cancer core), it did not reach significance (discovery cohort: p  = 0.07; validation cohort: p  = 0.19). We next utilised our region‐based nearest neighbour approach to determine the spatial relationships between cytotoxic T cells, helper T cells, and cancer cell clusters. In both cohorts, we found that shorter distance between cytotoxic T cells, T helper cells, and cancer cells was significantly associated with increased disease‐free survival. An unsupervised trained model that clustered patients based on the median distance between immune cells and cancer cells, as well as protein expression profiles, successfully classified patients into low‐risk and high‐risk groups (discovery cohort: p  = 0.01; validation cohort: p  = 0.003). © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. 10.1002/path.6327 http://creativecommons.org/licenses/by-nc-nd/4.0/
doi_str_mv 10.1002/path.6327
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spellingShingle Spatial effects of infiltrating T cells on neighbouring cancer cells and prognosis in stage III CRC patients
Mohammadreza Azimi
Sanghee Cho
Emir Bozkurt
Elizabeth McDonough
Batuhan Kisakol
Anna Matveeva
Manuela Salvucci
Heiko Dussmann
Simon McDade
Canan Firat
Nil Urganci
Jinru Shia
Daniel B Longley
Fiona Ginty
Jochen HM Prehn
The Journal of Pathology
Spatial effects of infiltrating T cells on neighbouring cancer cells and prognosis in stage III CRC patients Mohammadreza Azimi Sanghee Cho Emir Bozkurt Elizabeth McDonough Batuhan Kisakol Anna Matveeva Manuela Salvucci Heiko Dussmann Simon McDade Canan Firat Nil Urganci Jinru Shia Daniel B Longley Fiona Ginty Jochen HM Prehn The Journal of Pathology Abstract Colorectal cancer (CRC) is one of the most frequently occurring cancers, but prognostic biomarkers identifying patients at risk of recurrence are still lacking. In this study, we aimed to investigate in more detail the spatial relationship between intratumoural T cells, cancer cells, and cancer cell hallmarks as prognostic biomarkers in stage III colorectal cancer patients. We conducted multiplexed imaging of 56 protein markers at single‐cell resolution on resected fixed tissue from stage III CRC patients who received adjuvant 5‐fluorouracil (5FU)‐based chemotherapy. Images underwent segmentation for tumour, stroma, and immune cells, and cancer cell ‘state’ protein marker expression was quantified at a cellular level. We developed a Python package for estimation of spatial proximity, nearest neighbour analysis focusing on cancer cell–T‐cell interactions at single‐cell level. In our discovery cohort (Memorial Sloan Kettering samples), we processed 462 core samples (total number of cells: 1,669,228) from 221 adjuvant 5FU‐treated stage III patients. The validation cohort (Huntsville Clearview Cancer Center samples) consisted of 272 samples (total number of cells: 853,398) from 98 stage III CRC patients. While there were trends for an association between the percentage of cytotoxic T cells (across the whole cancer core), it did not reach significance (discovery cohort: p  = 0.07; validation cohort: p  = 0.19). We next utilised our region‐based nearest neighbour approach to determine the spatial relationships between cytotoxic T cells, helper T cells, and cancer cell clusters. In both cohorts, we found that shorter distance between cytotoxic T cells, T helper cells, and cancer cells was significantly associated with increased disease‐free survival. An unsupervised trained model that clustered patients based on the median distance between immune cells and cancer cells, as well as protein expression profiles, successfully classified patients into low‐risk and high‐risk groups (discovery cohort: p  = 0.01; validation cohort: p  = 0.003). © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. 10.1002/path.6327 http://creativecommons.org/licenses/by-nc-nd/4.0/
title Spatial effects of infiltrating T cells on neighbouring cancer cells and prognosis in stage III CRC patients
topic The Journal of Pathology
url https://pathsocjournals.onlinelibrary.wiley.com/doi/10.1002/path.6327