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Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma

Glioblastoma (GBM) is an aggressive primary brain tumor with unique immunity predominated by myeloid cells. GBM cells have been implicated to evade immune attack through hijacking myeloid-affiliated transcriptional programs to establish an immunosuppressive microenvironment. However, molecular featu...

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Autores principales: Yang, Kaidi, Shi, Yu, Luo, Min, Mao, Min, Zhang, Xiaoning, Chen, Cong, Liu, Yuqi, He, Zhicheng, Liu, Qing, Wang, Wenying, Luo, Chunhua, Yin, Wen, Wang, Chao, Niu, Qin, Zeng, Hui, Bian, Xiu-Wu, Ping, Yi-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797738/
https://www.ncbi.nlm.nih.gov/pubmed/35096487
http://dx.doi.org/10.1080/2162402X.2022.2030020
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author Yang, Kaidi
Shi, Yu
Luo, Min
Mao, Min
Zhang, Xiaoning
Chen, Cong
Liu, Yuqi
He, Zhicheng
Liu, Qing
Wang, Wenying
Luo, Chunhua
Yin, Wen
Wang, Chao
Niu, Qin
Zeng, Hui
Bian, Xiu-Wu
Ping, Yi-Fang
author_facet Yang, Kaidi
Shi, Yu
Luo, Min
Mao, Min
Zhang, Xiaoning
Chen, Cong
Liu, Yuqi
He, Zhicheng
Liu, Qing
Wang, Wenying
Luo, Chunhua
Yin, Wen
Wang, Chao
Niu, Qin
Zeng, Hui
Bian, Xiu-Wu
Ping, Yi-Fang
author_sort Yang, Kaidi
collection PubMed
description Glioblastoma (GBM) is an aggressive primary brain tumor with unique immunity predominated by myeloid cells. GBM cells have been implicated to evade immune attack through hijacking myeloid-affiliated transcriptional programs to establish an immunosuppressive microenvironment. However, molecular features of immune-evading GBM cells in heterogeneous GBMs and their interactions with immune cells remain unclear. Herein, we employed single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data to develop an in silico method for delineating GBM immune signature and identifying new molecular subsets for immunotherapy. We identified a new GBM cell subset, termed TC-6, that harbored immune-invading signature and actively interacted with tumor-associated macrophages (TAMs) to orchestrate an immune-suppressive niche. Proinflammatory transcriptional factors STAT1, STAT2, IRF1, IRF2, IRF3, and IRF7 were identified as the core regulons defining TC-6 subsets. Further immune transcriptome analyses revealed three immune subtypes (C1, C2, and C3). C3 subtype GBMs were enriched with TC-6 cells and immunosuppressive TAMs, and exhibited an immunomodulatory signature that associated with reduced efficacy of anti-PD-1 treatment. Interferon-related DNA damage resistance signaling was upregulated in C3 GBMs, predicting shortened survival of GBM patients who received chemo-radiation treatment. Treatment of OSI-930 as a molecular agent targeting c-kit and VEGFR2 tyrosine kinases may compromise the immunomodulatory signature of C3 GBMs and synergize with chemo-radiation therapy. We further developed a simplified 11-gene set for defining C3 GBMs. Our work identified TC-6 subset as an immune-evading hub that creates an immunomodulatory signature of C3 GBMs, gaining insights into the heterogeneity of GBM immune microenvironment and holding promise for optimized anti-GBM immunotherapy.
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spelling pubmed-87977382022-01-29 Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma Yang, Kaidi Shi, Yu Luo, Min Mao, Min Zhang, Xiaoning Chen, Cong Liu, Yuqi He, Zhicheng Liu, Qing Wang, Wenying Luo, Chunhua Yin, Wen Wang, Chao Niu, Qin Zeng, Hui Bian, Xiu-Wu Ping, Yi-Fang Oncoimmunology Research Article Glioblastoma (GBM) is an aggressive primary brain tumor with unique immunity predominated by myeloid cells. GBM cells have been implicated to evade immune attack through hijacking myeloid-affiliated transcriptional programs to establish an immunosuppressive microenvironment. However, molecular features of immune-evading GBM cells in heterogeneous GBMs and their interactions with immune cells remain unclear. Herein, we employed single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data to develop an in silico method for delineating GBM immune signature and identifying new molecular subsets for immunotherapy. We identified a new GBM cell subset, termed TC-6, that harbored immune-invading signature and actively interacted with tumor-associated macrophages (TAMs) to orchestrate an immune-suppressive niche. Proinflammatory transcriptional factors STAT1, STAT2, IRF1, IRF2, IRF3, and IRF7 were identified as the core regulons defining TC-6 subsets. Further immune transcriptome analyses revealed three immune subtypes (C1, C2, and C3). C3 subtype GBMs were enriched with TC-6 cells and immunosuppressive TAMs, and exhibited an immunomodulatory signature that associated with reduced efficacy of anti-PD-1 treatment. Interferon-related DNA damage resistance signaling was upregulated in C3 GBMs, predicting shortened survival of GBM patients who received chemo-radiation treatment. Treatment of OSI-930 as a molecular agent targeting c-kit and VEGFR2 tyrosine kinases may compromise the immunomodulatory signature of C3 GBMs and synergize with chemo-radiation therapy. We further developed a simplified 11-gene set for defining C3 GBMs. Our work identified TC-6 subset as an immune-evading hub that creates an immunomodulatory signature of C3 GBMs, gaining insights into the heterogeneity of GBM immune microenvironment and holding promise for optimized anti-GBM immunotherapy. Taylor & Francis 2022-01-26 /pmc/articles/PMC8797738/ /pubmed/35096487 http://dx.doi.org/10.1080/2162402X.2022.2030020 Text en © 2022 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 Research Article
Yang, Kaidi
Shi, Yu
Luo, Min
Mao, Min
Zhang, Xiaoning
Chen, Cong
Liu, Yuqi
He, Zhicheng
Liu, Qing
Wang, Wenying
Luo, Chunhua
Yin, Wen
Wang, Chao
Niu, Qin
Zeng, Hui
Bian, Xiu-Wu
Ping, Yi-Fang
Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
title Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
title_full Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
title_fullStr Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
title_full_unstemmed Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
title_short Identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
title_sort identification of a unique tumor cell subset employing myeloid transcriptional circuits to create an immunomodulatory microenvironment in glioblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797738/
https://www.ncbi.nlm.nih.gov/pubmed/35096487
http://dx.doi.org/10.1080/2162402X.2022.2030020
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