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Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1

BACKGROUND: Biomarkers that can accurately predict the efficacy of immune checkpoint inhibitors (ICIs) against programmed death 1 (PD-1) ligand in cancer immunotherapy are urgently needed. We have previously reported a novel formula that predicts the response to treatment with second-line nivolumab...

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Autores principales: Yamaguchi, Ou, Atarashi, Kazuyuki, Yoshimura, Kenichi, Shiono, Ayako, Mouri, Atsuhito, Nishihara, Fuyumi, Miura, Yu, Hashimoto, Kosuke, Miyamoto, Yoshiaki, Uga, Hitoshi, Seki, Nobuo, Matsushima, Tomoko, Kikukawa, Norihiro, Kobayashi, Kunihiko, Kaira, Kyoichi, Kagamu, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759885/
https://www.ncbi.nlm.nih.gov/pubmed/36528575
http://dx.doi.org/10.1186/s12885-022-10445-2
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author Yamaguchi, Ou
Atarashi, Kazuyuki
Yoshimura, Kenichi
Shiono, Ayako
Mouri, Atsuhito
Nishihara, Fuyumi
Miura, Yu
Hashimoto, Kosuke
Miyamoto, Yoshiaki
Uga, Hitoshi
Seki, Nobuo
Matsushima, Tomoko
Kikukawa, Norihiro
Kobayashi, Kunihiko
Kaira, Kyoichi
Kagamu, Hiroshi
author_facet Yamaguchi, Ou
Atarashi, Kazuyuki
Yoshimura, Kenichi
Shiono, Ayako
Mouri, Atsuhito
Nishihara, Fuyumi
Miura, Yu
Hashimoto, Kosuke
Miyamoto, Yoshiaki
Uga, Hitoshi
Seki, Nobuo
Matsushima, Tomoko
Kikukawa, Norihiro
Kobayashi, Kunihiko
Kaira, Kyoichi
Kagamu, Hiroshi
author_sort Yamaguchi, Ou
collection PubMed
description BACKGROUND: Biomarkers that can accurately predict the efficacy of immune checkpoint inhibitors (ICIs) against programmed death 1 (PD-1) ligand in cancer immunotherapy are urgently needed. We have previously reported a novel formula that predicts the response to treatment with second-line nivolumab with high sensitivity and specificity in patients with non-small cell lung cancer (NSCLC) previously treated with chemotherapy. The formula was based on the percentages of CD62L(low)CD4(+) T cells (effector T cells; %Teff) and CD4(+)CD25(+)FOXP3(+) T cells (regulatory T cells; %Treg) in the peripheral blood before treatment estimated using the peripheral blood mononuclear cell (PBMC) method. Here, we investigated the applicability of the formula (K-index) to predict the response to treatment with another ICI to expand its clinical applicability. Furthermore, we developed a simpler assay method based on whole blood (WB) samples to overcome the limitations of the PBMC method, such as technical difficulties, in obtaining the K-index. METHODS: The K-index was evaluated using the PBMC method in 59 patients with NSCLC who received first-line pembrolizumab treatment. We also assessed the K-index using the WB method and estimated the correlation between the measurements obtained using both methods in 76 patients with lung cancer. RESULTS: This formula consistently predicted the response to first-line pembrolizumab therapy in patients with NSCLC. The WB method correlated well with the PBMC method to obtain %Teff, %Treg, and the formula value. The WB method showed high repeatability (coefficient of variation, < 10%). The data obtained using WB samples collected in tubes containing either heparin or EDTA-2K and stored at room temperature (18–24 °C) for one day after blood sampling did not differ. Additionally, the performance of the WB method was consistent in different flow cytometry instruments. CONCLUSIONS: The K-index successfully predicted the response to first-line therapy with pembrolizumab, as reported earlier for the second-line therapy with nivolumab in patients with NSCLC. The WB method established in this study can replace the cumbersome PBMC method in obtaining the K-index. Overall, this study suggests that the K-index can predict the response to anti-PD-1 therapy in various cancers, including NSCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10445-2.
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spelling pubmed-97598852022-12-19 Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1 Yamaguchi, Ou Atarashi, Kazuyuki Yoshimura, Kenichi Shiono, Ayako Mouri, Atsuhito Nishihara, Fuyumi Miura, Yu Hashimoto, Kosuke Miyamoto, Yoshiaki Uga, Hitoshi Seki, Nobuo Matsushima, Tomoko Kikukawa, Norihiro Kobayashi, Kunihiko Kaira, Kyoichi Kagamu, Hiroshi BMC Cancer Research BACKGROUND: Biomarkers that can accurately predict the efficacy of immune checkpoint inhibitors (ICIs) against programmed death 1 (PD-1) ligand in cancer immunotherapy are urgently needed. We have previously reported a novel formula that predicts the response to treatment with second-line nivolumab with high sensitivity and specificity in patients with non-small cell lung cancer (NSCLC) previously treated with chemotherapy. The formula was based on the percentages of CD62L(low)CD4(+) T cells (effector T cells; %Teff) and CD4(+)CD25(+)FOXP3(+) T cells (regulatory T cells; %Treg) in the peripheral blood before treatment estimated using the peripheral blood mononuclear cell (PBMC) method. Here, we investigated the applicability of the formula (K-index) to predict the response to treatment with another ICI to expand its clinical applicability. Furthermore, we developed a simpler assay method based on whole blood (WB) samples to overcome the limitations of the PBMC method, such as technical difficulties, in obtaining the K-index. METHODS: The K-index was evaluated using the PBMC method in 59 patients with NSCLC who received first-line pembrolizumab treatment. We also assessed the K-index using the WB method and estimated the correlation between the measurements obtained using both methods in 76 patients with lung cancer. RESULTS: This formula consistently predicted the response to first-line pembrolizumab therapy in patients with NSCLC. The WB method correlated well with the PBMC method to obtain %Teff, %Treg, and the formula value. The WB method showed high repeatability (coefficient of variation, < 10%). The data obtained using WB samples collected in tubes containing either heparin or EDTA-2K and stored at room temperature (18–24 °C) for one day after blood sampling did not differ. Additionally, the performance of the WB method was consistent in different flow cytometry instruments. CONCLUSIONS: The K-index successfully predicted the response to first-line therapy with pembrolizumab, as reported earlier for the second-line therapy with nivolumab in patients with NSCLC. The WB method established in this study can replace the cumbersome PBMC method in obtaining the K-index. Overall, this study suggests that the K-index can predict the response to anti-PD-1 therapy in various cancers, including NSCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10445-2. BioMed Central 2022-12-17 /pmc/articles/PMC9759885/ /pubmed/36528575 http://dx.doi.org/10.1186/s12885-022-10445-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Yamaguchi, Ou
Atarashi, Kazuyuki
Yoshimura, Kenichi
Shiono, Ayako
Mouri, Atsuhito
Nishihara, Fuyumi
Miura, Yu
Hashimoto, Kosuke
Miyamoto, Yoshiaki
Uga, Hitoshi
Seki, Nobuo
Matsushima, Tomoko
Kikukawa, Norihiro
Kobayashi, Kunihiko
Kaira, Kyoichi
Kagamu, Hiroshi
Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1
title Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1
title_full Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1
title_fullStr Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1
title_full_unstemmed Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1
title_short Establishing a whole blood CD4(+) T cell immunity measurement to predict response to anti-PD-1
title_sort establishing a whole blood cd4(+) t cell immunity measurement to predict response to anti-pd-1
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759885/
https://www.ncbi.nlm.nih.gov/pubmed/36528575
http://dx.doi.org/10.1186/s12885-022-10445-2
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