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TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients

BACKGROUND: Composition of the intestinal microbiota has been correlated to therapeutic efficacy of immune checkpoint inhibitors (ICI) in various cancer entities including melanoma. Prediction of the outcome of such therapy, however, is still unavailable. This prospective, non-interventional study w...

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Autores principales: Tsakmaklis, Anastasia, Farowski, Fedja, Zenner, Rafael, Lesker, Till Robin, Strowig, Till, Schlößer, Hans, Lehmann, Jonas, von Bergwelt-Baildon, Michael, Mauch, Cornelia, Schlaak, Max, Knuever, Jana, Schweinsberg, Viola, Heinzerling, Lucie M., Vehreschild, Maria J. G. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685659/
https://www.ncbi.nlm.nih.gov/pubmed/38017389
http://dx.doi.org/10.1186/s12885-023-11551-5
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author Tsakmaklis, Anastasia
Farowski, Fedja
Zenner, Rafael
Lesker, Till Robin
Strowig, Till
Schlößer, Hans
Lehmann, Jonas
von Bergwelt-Baildon, Michael
Mauch, Cornelia
Schlaak, Max
Knuever, Jana
Schweinsberg, Viola
Heinzerling, Lucie M.
Vehreschild, Maria J. G. T.
author_facet Tsakmaklis, Anastasia
Farowski, Fedja
Zenner, Rafael
Lesker, Till Robin
Strowig, Till
Schlößer, Hans
Lehmann, Jonas
von Bergwelt-Baildon, Michael
Mauch, Cornelia
Schlaak, Max
Knuever, Jana
Schweinsberg, Viola
Heinzerling, Lucie M.
Vehreschild, Maria J. G. T.
author_sort Tsakmaklis, Anastasia
collection PubMed
description BACKGROUND: Composition of the intestinal microbiota has been correlated to therapeutic efficacy of immune checkpoint inhibitors (ICI) in various cancer entities including melanoma. Prediction of the outcome of such therapy, however, is still unavailable. This prospective, non-interventional study was conducted in order to achieve an integrated assessment of the connection between a specific intestinal microbiota profile and antitumor immune response to immune checkpoint inhibitor therapy (anti-PD-1 and/or anti-CTLA-4) in melanoma patients. METHODS: We assessed blood and stool samples of 29 cutaneous melanoma patients who received immune checkpoint inhibitor therapy. For functional and phenotypical immune analysis, 12-color flow cytometry and FluoroSpot assays were conducted. Gut microbiome was analyzed with shotgun metagenomics sequencing. To combine clinical, microbiome and immune variables, we applied the Random Forest algorithm. RESULTS: A total of 29 patients was analyzed in this study, among whom 51.7% (n = 15) reached a durable clinical benefit. The Immune receptor TIGIT is significantly upregulated in T cells (p = 0.0139) and CD56(high) NK cells (p = 0.0037) of responders. Several bacterial taxa were associated with response (e.g. Ruminococcus torques) or failure (e.g. Barnesiella intestinihominis) to immune therapy. A combination of two microbiome features (Barnesiella intestinihominis and the Enterobacteriaceae family) and one immune feature (TIGIT(+) CD56(high) NK cells) was able to predict response to ICI already at baseline (AUC = 0.85; 95% CI: 0.841–0.853). CONCLUSIONS: Our results reconfirm a link between intestinal microbiota and response to ICI therapy in melanoma patients and furthermore point to TIGIT as a promising target for future immunotherapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11551-5.
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spelling pubmed-106856592023-11-30 TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients Tsakmaklis, Anastasia Farowski, Fedja Zenner, Rafael Lesker, Till Robin Strowig, Till Schlößer, Hans Lehmann, Jonas von Bergwelt-Baildon, Michael Mauch, Cornelia Schlaak, Max Knuever, Jana Schweinsberg, Viola Heinzerling, Lucie M. Vehreschild, Maria J. G. T. BMC Cancer Research BACKGROUND: Composition of the intestinal microbiota has been correlated to therapeutic efficacy of immune checkpoint inhibitors (ICI) in various cancer entities including melanoma. Prediction of the outcome of such therapy, however, is still unavailable. This prospective, non-interventional study was conducted in order to achieve an integrated assessment of the connection between a specific intestinal microbiota profile and antitumor immune response to immune checkpoint inhibitor therapy (anti-PD-1 and/or anti-CTLA-4) in melanoma patients. METHODS: We assessed blood and stool samples of 29 cutaneous melanoma patients who received immune checkpoint inhibitor therapy. For functional and phenotypical immune analysis, 12-color flow cytometry and FluoroSpot assays were conducted. Gut microbiome was analyzed with shotgun metagenomics sequencing. To combine clinical, microbiome and immune variables, we applied the Random Forest algorithm. RESULTS: A total of 29 patients was analyzed in this study, among whom 51.7% (n = 15) reached a durable clinical benefit. The Immune receptor TIGIT is significantly upregulated in T cells (p = 0.0139) and CD56(high) NK cells (p = 0.0037) of responders. Several bacterial taxa were associated with response (e.g. Ruminococcus torques) or failure (e.g. Barnesiella intestinihominis) to immune therapy. A combination of two microbiome features (Barnesiella intestinihominis and the Enterobacteriaceae family) and one immune feature (TIGIT(+) CD56(high) NK cells) was able to predict response to ICI already at baseline (AUC = 0.85; 95% CI: 0.841–0.853). CONCLUSIONS: Our results reconfirm a link between intestinal microbiota and response to ICI therapy in melanoma patients and furthermore point to TIGIT as a promising target for future immunotherapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11551-5. BioMed Central 2023-11-28 /pmc/articles/PMC10685659/ /pubmed/38017389 http://dx.doi.org/10.1186/s12885-023-11551-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tsakmaklis, Anastasia
Farowski, Fedja
Zenner, Rafael
Lesker, Till Robin
Strowig, Till
Schlößer, Hans
Lehmann, Jonas
von Bergwelt-Baildon, Michael
Mauch, Cornelia
Schlaak, Max
Knuever, Jana
Schweinsberg, Viola
Heinzerling, Lucie M.
Vehreschild, Maria J. G. T.
TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
title TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
title_full TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
title_fullStr TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
title_full_unstemmed TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
title_short TIGIT(+) NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
title_sort tigit(+) nk cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685659/
https://www.ncbi.nlm.nih.gov/pubmed/38017389
http://dx.doi.org/10.1186/s12885-023-11551-5
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