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Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability

BACKGROUND: The objective response rate of microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) patients with first-line anti-programmed cell death protein-1 (PD-1) monotherapy is only 40–45%. Single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the full variety...

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Autores principales: Wu, Tao, Zhang, Xuan, Liu, Xinxing, Cai, Xinyi, Shen, Tao, Pan, Dingguo, Liang, Rui, Ding, Rong, Hu, Ruixi, Dong, Jianhua, Li, Furong, Li, Jinsha, Xie, Lin, Wang, Chunlong, Geng, Shilei, Yang, Zhaoyu, Xing, Lu, Li, YunFeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142806/
https://www.ncbi.nlm.nih.gov/pubmed/37106440
http://dx.doi.org/10.1186/s12916-023-02866-y
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author Wu, Tao
Zhang, Xuan
Liu, Xinxing
Cai, Xinyi
Shen, Tao
Pan, Dingguo
Liang, Rui
Ding, Rong
Hu, Ruixi
Dong, Jianhua
Li, Furong
Li, Jinsha
Xie, Lin
Wang, Chunlong
Geng, Shilei
Yang, Zhaoyu
Xing, Lu
Li, YunFeng
author_facet Wu, Tao
Zhang, Xuan
Liu, Xinxing
Cai, Xinyi
Shen, Tao
Pan, Dingguo
Liang, Rui
Ding, Rong
Hu, Ruixi
Dong, Jianhua
Li, Furong
Li, Jinsha
Xie, Lin
Wang, Chunlong
Geng, Shilei
Yang, Zhaoyu
Xing, Lu
Li, YunFeng
author_sort Wu, Tao
collection PubMed
description BACKGROUND: The objective response rate of microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) patients with first-line anti-programmed cell death protein-1 (PD-1) monotherapy is only 40–45%. Single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the full variety of cells comprising the tumor microenvironment. Thus, we used scRNA-seq to assess differences among microenvironment components between therapy-resistant and therapy-sensitive groups in MSI-H/mismatch repair-deficient (dMMR) mCRC. Resistance-related cell types and genes identified by this analysis were subsequently verified in clinical samples and mouse models to further reveal the molecular mechanism of anti-PD-1 resistance in MSI-H or dMMR mCRC. METHODS: The response of primary and metastatic lesions to first-line anti-PD-1 monotherapy was evaluated by radiology. Cells from primary lesions of patients with MSI-H/dMMR mCRC were analyzed using scRNA-seq. To identify the marker genes in each cluster, distinct cell clusters were identified and subjected to subcluster analysis. Then, a protein‒protein interaction network was constructed to identify key genes. Immunohistochemistry and immunofluorescence were applied to verify key genes and cell marker molecules in clinical samples. Immunohistochemistry, quantitative real-time PCR, and western blotting were performed to examine the expression of IL-1β and MMP9. Moreover, quantitative analysis and sorting of myeloid-derived suppressor cells (MDSCs) and CD8(+) T cells were performed using flow cytometry. RESULTS: Tumor responses in 23 patients with MSI-H/dMMR mCRC were evaluated by radiology. The objective response rate was 43.48%, and the disease control rate was 69.57%. ScRNA-seq analysis showed that, compared with the treatment-resistant group, the treatment-sensitive group accumulated more CD8(+) T cells. Experiments with both clinical samples and mice indicated that infiltration of IL-1β-driven MDSCs and inactivation of CD8(+) T cells contribute to anti-PD-1 resistance in MSI-H/dMMR CRC. CONCLUSIONS: CD8(+) T cells and IL-1β were identified as the cell type and gene, respectively, with the highest correlation with anti-PD-1 resistance. Infiltration of IL-1β-driven MDSCs was a significant factor in anti-PD-1 resistance in CRC. IL-1β antagonists are expected to be developed as a new treatment for anti-PD-1 inhibitor resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02866-y.
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spelling pubmed-101428062023-04-29 Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability Wu, Tao Zhang, Xuan Liu, Xinxing Cai, Xinyi Shen, Tao Pan, Dingguo Liang, Rui Ding, Rong Hu, Ruixi Dong, Jianhua Li, Furong Li, Jinsha Xie, Lin Wang, Chunlong Geng, Shilei Yang, Zhaoyu Xing, Lu Li, YunFeng BMC Med Research Article BACKGROUND: The objective response rate of microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) patients with first-line anti-programmed cell death protein-1 (PD-1) monotherapy is only 40–45%. Single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the full variety of cells comprising the tumor microenvironment. Thus, we used scRNA-seq to assess differences among microenvironment components between therapy-resistant and therapy-sensitive groups in MSI-H/mismatch repair-deficient (dMMR) mCRC. Resistance-related cell types and genes identified by this analysis were subsequently verified in clinical samples and mouse models to further reveal the molecular mechanism of anti-PD-1 resistance in MSI-H or dMMR mCRC. METHODS: The response of primary and metastatic lesions to first-line anti-PD-1 monotherapy was evaluated by radiology. Cells from primary lesions of patients with MSI-H/dMMR mCRC were analyzed using scRNA-seq. To identify the marker genes in each cluster, distinct cell clusters were identified and subjected to subcluster analysis. Then, a protein‒protein interaction network was constructed to identify key genes. Immunohistochemistry and immunofluorescence were applied to verify key genes and cell marker molecules in clinical samples. Immunohistochemistry, quantitative real-time PCR, and western blotting were performed to examine the expression of IL-1β and MMP9. Moreover, quantitative analysis and sorting of myeloid-derived suppressor cells (MDSCs) and CD8(+) T cells were performed using flow cytometry. RESULTS: Tumor responses in 23 patients with MSI-H/dMMR mCRC were evaluated by radiology. The objective response rate was 43.48%, and the disease control rate was 69.57%. ScRNA-seq analysis showed that, compared with the treatment-resistant group, the treatment-sensitive group accumulated more CD8(+) T cells. Experiments with both clinical samples and mice indicated that infiltration of IL-1β-driven MDSCs and inactivation of CD8(+) T cells contribute to anti-PD-1 resistance in MSI-H/dMMR CRC. CONCLUSIONS: CD8(+) T cells and IL-1β were identified as the cell type and gene, respectively, with the highest correlation with anti-PD-1 resistance. Infiltration of IL-1β-driven MDSCs was a significant factor in anti-PD-1 resistance in CRC. IL-1β antagonists are expected to be developed as a new treatment for anti-PD-1 inhibitor resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02866-y. BioMed Central 2023-04-27 /pmc/articles/PMC10142806/ /pubmed/37106440 http://dx.doi.org/10.1186/s12916-023-02866-y Text en © The Author(s) 2023 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 Article
Wu, Tao
Zhang, Xuan
Liu, Xinxing
Cai, Xinyi
Shen, Tao
Pan, Dingguo
Liang, Rui
Ding, Rong
Hu, Ruixi
Dong, Jianhua
Li, Furong
Li, Jinsha
Xie, Lin
Wang, Chunlong
Geng, Shilei
Yang, Zhaoyu
Xing, Lu
Li, YunFeng
Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability
title Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability
title_full Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability
title_fullStr Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability
title_full_unstemmed Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability
title_short Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability
title_sort single-cell sequencing reveals the immune microenvironment landscape related to anti-pd-1 resistance in metastatic colorectal cancer with high microsatellite instability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142806/
https://www.ncbi.nlm.nih.gov/pubmed/37106440
http://dx.doi.org/10.1186/s12916-023-02866-y
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