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Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients

CD103-positive tissue resident memory-like CD8(+) T cells (CD8CD103 TRM) are associated with improved prognosis across malignancies, including high-grade serous ovarian cancer (HGSOC). However, whether quantification of CD8, CD103 or both is required to improve existing survival prediction and wheth...

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Autores principales: Paijens, S. T., Vledder, A., Loiero, D., Duiker, E. W., Bart, J., Hendriks, A. M., Jalving, M., Workel, H. H., Hollema, H., Werner, N., Plat, A., Wisman, G. B. A., Yigit, R., Arts, H., Kruse, A. J., de Lange, N.M., Koelzer, V. H., de Bruyn, M., Nijman, H. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183551/
https://www.ncbi.nlm.nih.gov/pubmed/34123576
http://dx.doi.org/10.1080/2162402X.2021.1935104
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author Paijens, S. T.
Vledder, A.
Loiero, D.
Duiker, E. W.
Bart, J.
Hendriks, A. M.
Jalving, M.
Workel, H. H.
Hollema, H.
Werner, N.
Plat, A.
Wisman, G. B. A.
Yigit, R.
Arts, H.
Kruse, A. J.
de Lange, N.M.
Koelzer, V. H.
de Bruyn, M.
Nijman, H. W.
author_facet Paijens, S. T.
Vledder, A.
Loiero, D.
Duiker, E. W.
Bart, J.
Hendriks, A. M.
Jalving, M.
Workel, H. H.
Hollema, H.
Werner, N.
Plat, A.
Wisman, G. B. A.
Yigit, R.
Arts, H.
Kruse, A. J.
de Lange, N.M.
Koelzer, V. H.
de Bruyn, M.
Nijman, H. W.
author_sort Paijens, S. T.
collection PubMed
description CD103-positive tissue resident memory-like CD8(+) T cells (CD8CD103 TRM) are associated with improved prognosis across malignancies, including high-grade serous ovarian cancer (HGSOC). However, whether quantification of CD8, CD103 or both is required to improve existing survival prediction and whether all HGSOC patients or only specific subgroups of patients benefit from infiltration, remains unclear. To address this question, we applied image-based quantification of CD8 and CD103 multiplex immunohistochemistry in the intratumoral and stromal compartments of 268 advanced-stage HGSOC patients from two independent clinical institutions. Infiltration of CD8CD103 immune cell subsets was independent of clinicopathological factors. Our results suggest CD8CD103 TRM quantification as a superior method for prognostication compared to single CD8 or CD103 quantification. A survival benefit of CD8CD103 TRM was observed only in patients treated with primary cytoreductive surgery. Moreover, survival benefit in this group was limited to patients with no macroscopic tumor lesions after surgery. This approach provides novel insights into prognostic stratification of HGSOC patients and may contribute to personalized treatment strategies in the future.
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spelling pubmed-81835512021-06-11 Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients Paijens, S. T. Vledder, A. Loiero, D. Duiker, E. W. Bart, J. Hendriks, A. M. Jalving, M. Workel, H. H. Hollema, H. Werner, N. Plat, A. Wisman, G. B. A. Yigit, R. Arts, H. Kruse, A. J. de Lange, N.M. Koelzer, V. H. de Bruyn, M. Nijman, H. W. Oncoimmunology Original Research CD103-positive tissue resident memory-like CD8(+) T cells (CD8CD103 TRM) are associated with improved prognosis across malignancies, including high-grade serous ovarian cancer (HGSOC). However, whether quantification of CD8, CD103 or both is required to improve existing survival prediction and whether all HGSOC patients or only specific subgroups of patients benefit from infiltration, remains unclear. To address this question, we applied image-based quantification of CD8 and CD103 multiplex immunohistochemistry in the intratumoral and stromal compartments of 268 advanced-stage HGSOC patients from two independent clinical institutions. Infiltration of CD8CD103 immune cell subsets was independent of clinicopathological factors. Our results suggest CD8CD103 TRM quantification as a superior method for prognostication compared to single CD8 or CD103 quantification. A survival benefit of CD8CD103 TRM was observed only in patients treated with primary cytoreductive surgery. Moreover, survival benefit in this group was limited to patients with no macroscopic tumor lesions after surgery. This approach provides novel insights into prognostic stratification of HGSOC patients and may contribute to personalized treatment strategies in the future. Taylor & Francis 2021-06-06 /pmc/articles/PMC8183551/ /pubmed/34123576 http://dx.doi.org/10.1080/2162402X.2021.1935104 Text en © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Paijens, S. T.
Vledder, A.
Loiero, D.
Duiker, E. W.
Bart, J.
Hendriks, A. M.
Jalving, M.
Workel, H. H.
Hollema, H.
Werner, N.
Plat, A.
Wisman, G. B. A.
Yigit, R.
Arts, H.
Kruse, A. J.
de Lange, N.M.
Koelzer, V. H.
de Bruyn, M.
Nijman, H. W.
Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients
title Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients
title_full Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients
title_fullStr Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients
title_full_unstemmed Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients
title_short Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients
title_sort prognostic image-based quantification of cd8cd103 t cell subsets in high-grade serous ovarian cancer patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183551/
https://www.ncbi.nlm.nih.gov/pubmed/34123576
http://dx.doi.org/10.1080/2162402X.2021.1935104
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