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Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy
BACKGROUND: Although immune checkpoint blockade is effective for several malignancies, a substantial number of patients remain refractory to treatment. The future of immunotherapy will be a personalized approach adapted to each patient’s cancer-immune interactions in the tumor microenvironment (TME)...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583806/ https://www.ncbi.nlm.nih.gov/pubmed/33093158 http://dx.doi.org/10.1136/jitc-2020-001358 |
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author | Nagaoka, Koji Shirai, Masataka Taniguchi, Kiyomi Hosoi, Akihiro Sun, Changbo Kobayashi, Yukari Maejima, Kazuhiro Fujita, Masashi Nakagawa, Hidewaki Nomura, Sachiyo Kakimi, Kazuhiro |
author_facet | Nagaoka, Koji Shirai, Masataka Taniguchi, Kiyomi Hosoi, Akihiro Sun, Changbo Kobayashi, Yukari Maejima, Kazuhiro Fujita, Masashi Nakagawa, Hidewaki Nomura, Sachiyo Kakimi, Kazuhiro |
author_sort | Nagaoka, Koji |
collection | PubMed |
description | BACKGROUND: Although immune checkpoint blockade is effective for several malignancies, a substantial number of patients remain refractory to treatment. The future of immunotherapy will be a personalized approach adapted to each patient’s cancer-immune interactions in the tumor microenvironment (TME) to prevent suppression of antitumor immune responses. To demonstrate the feasibility of this kind of approach, we developed combination therapy for a preclinical model guided by deep immunophenotyping of the TME. METHODS: Gastric cancer cell lines YTN2 and YTN16 were subcutaneously inoculated into C57BL/6 mice. YTN2 spontaneously regresses, while YTN16 grows progressively. Bulk RNA-Seq, single-cell RNA-Seq (scRNA-Seq) and flow cytometry were performed to investigate the immunological differences in the TME of these tumors. RESULTS: Bulk RNA-Seq demonstrated that YTN16 tumor cells produced CCL20 and that CD8(+) T cell responses were impaired in these tumors relative to YTN2. We have developed a vertical flow array chip (VFAC) for targeted scRNA-Seq to identify unique subtypes of T cells by employing a panel of genes reflecting T cell phenotypes and functions. CD8(+) T cell dysfunction (cytotoxicity, proliferation and the recruitment of interleukin-17 (IL-17)-producing cells into YTN16 tumors) was identified by targeted scRNA-Seq. The presence of IL-17-producing T cells in YTN16 tumors was confirmed by flow cytometry, which also revealed neutrophil infiltration. IL-17 blockade suppressed YTN16 tumor growth, while tumors were rejected by the combination of anti-IL-17 and anti-PD-1 (Programmed cell death protein 1) mAb treatment. Reduced neutrophil activation and enhanced expansion of neoantigen-specific CD8(+) T cells were observed in tumors of the mice receiving the combination therapy. CONCLUSIONS: Deep phenotyping of YTN16 tumors identified a sequence of events on the axis CCL20->IL-17-producing cells->IL-17-neutrophil-angiogenesis->suppression of neoantigen-specific CD8(+) T cells which was responsible for the lack of tumor rejection. IL-17 blockade together with anti-PD-1 mAb therapy eradicated these YTN16 tumors. Thus, the deep immunological phenotyping can guide immunotherapy for the tailored treatment of each individual patient’s tumor. |
format | Online Article Text |
id | pubmed-7583806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75838062020-10-28 Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy Nagaoka, Koji Shirai, Masataka Taniguchi, Kiyomi Hosoi, Akihiro Sun, Changbo Kobayashi, Yukari Maejima, Kazuhiro Fujita, Masashi Nakagawa, Hidewaki Nomura, Sachiyo Kakimi, Kazuhiro J Immunother Cancer Basic Tumor Immunology BACKGROUND: Although immune checkpoint blockade is effective for several malignancies, a substantial number of patients remain refractory to treatment. The future of immunotherapy will be a personalized approach adapted to each patient’s cancer-immune interactions in the tumor microenvironment (TME) to prevent suppression of antitumor immune responses. To demonstrate the feasibility of this kind of approach, we developed combination therapy for a preclinical model guided by deep immunophenotyping of the TME. METHODS: Gastric cancer cell lines YTN2 and YTN16 were subcutaneously inoculated into C57BL/6 mice. YTN2 spontaneously regresses, while YTN16 grows progressively. Bulk RNA-Seq, single-cell RNA-Seq (scRNA-Seq) and flow cytometry were performed to investigate the immunological differences in the TME of these tumors. RESULTS: Bulk RNA-Seq demonstrated that YTN16 tumor cells produced CCL20 and that CD8(+) T cell responses were impaired in these tumors relative to YTN2. We have developed a vertical flow array chip (VFAC) for targeted scRNA-Seq to identify unique subtypes of T cells by employing a panel of genes reflecting T cell phenotypes and functions. CD8(+) T cell dysfunction (cytotoxicity, proliferation and the recruitment of interleukin-17 (IL-17)-producing cells into YTN16 tumors) was identified by targeted scRNA-Seq. The presence of IL-17-producing T cells in YTN16 tumors was confirmed by flow cytometry, which also revealed neutrophil infiltration. IL-17 blockade suppressed YTN16 tumor growth, while tumors were rejected by the combination of anti-IL-17 and anti-PD-1 (Programmed cell death protein 1) mAb treatment. Reduced neutrophil activation and enhanced expansion of neoantigen-specific CD8(+) T cells were observed in tumors of the mice receiving the combination therapy. CONCLUSIONS: Deep phenotyping of YTN16 tumors identified a sequence of events on the axis CCL20->IL-17-producing cells->IL-17-neutrophil-angiogenesis->suppression of neoantigen-specific CD8(+) T cells which was responsible for the lack of tumor rejection. IL-17 blockade together with anti-PD-1 mAb therapy eradicated these YTN16 tumors. Thus, the deep immunological phenotyping can guide immunotherapy for the tailored treatment of each individual patient’s tumor. BMJ Publishing Group 2020-10-22 /pmc/articles/PMC7583806/ /pubmed/33093158 http://dx.doi.org/10.1136/jitc-2020-001358 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Basic Tumor Immunology Nagaoka, Koji Shirai, Masataka Taniguchi, Kiyomi Hosoi, Akihiro Sun, Changbo Kobayashi, Yukari Maejima, Kazuhiro Fujita, Masashi Nakagawa, Hidewaki Nomura, Sachiyo Kakimi, Kazuhiro Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
title | Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
title_full | Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
title_fullStr | Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
title_full_unstemmed | Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
title_short | Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
title_sort | deep immunophenotyping at the single-cell level identifies a combination of anti-il-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy |
topic | Basic Tumor Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583806/ https://www.ncbi.nlm.nih.gov/pubmed/33093158 http://dx.doi.org/10.1136/jitc-2020-001358 |
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