Literature DB >> 35130108

STING agonist enhances the efficacy of programmed death-ligand 1 monoclonal antibody in breast cancer immunotherapy by activating the interferon-β signalling pathway.

Mingming Yin1,2, Jinlong Hu1,2, Zhongxu Yuan1,2, Guangyi Luo1,2, Jiaming Yao1,2, Rundong Wang1,2, Dongquan Liu1,2, Baoqiang Cao1,2, Wenyong Wu1,2, Zhiqi Hu1,2.   

Abstract

This study aimed to explore the role of a stimulator of interferon (IFN) gene (STING) agonist in breast cancer (BCa) immunotherapy. Clinical samples were collected from 37 patients with BCa. A tumor-bearing mouse model was established by injecting 4T1 cells into the mammary fat pad of mice. STING agonist and atezolizumab were injected in the mice twice a week for 2 weeks. Peripheral blood, tumor mass, lung, liver, brain cortex and kidney samples of the tumor-bearing mice were collected. Anti-IFN alpha receptor subunit 1 (IFNAR1) was used to treat 4T1 cells. Tumor tissues of patients with BCa exhibited lower STING and high programmed cell death protein 1 and programmed death-ligand 1 protein expressions. The STING agonist inhibited 4T1 cell growth in mice (P < 0.001) and increased the IFN-β level and phosphorylation of STING, TBK1, IRF3 and STAT1 in tumor mass of tumor-bearing mice (P < 0.001). It synergized with atezolizumab to inhibit 4T1 cell growth in mice and increased tumor necrosis factor-α, IFN-β, interleukin-10 and IFN-γ levels in the peripheral blood and tumor mass (P < 0.01). It synergized with atezolizumab to increase CD8+ cytotoxic T cells and decrease FOXP3+ Treg cells in the tumor-bearing mouse model. The STING agonist was nontoxic to the lung, liver, brain cortex and kidney. Anti-IFNAR1 reversed the STING agonist promotion on TBK1, IRF3 and STAT1 phosphorylation in 4T1 cells (P < 0.01). STING agonists enhance the efficacy of atezolizumab in BCa immunotherapy by activating the IFN-β signaling pathway.

Entities:  

Keywords:  Atezolizumab; BCa immunotherapy; IFN-β; PD-L1; STING agonist

Mesh:

Substances:

Year:  2022        PMID: 35130108      PMCID: PMC8973354          DOI: 10.1080/15384101.2022.2029996

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   5.173


  44 in total

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Authors:  Leisha A Emens
Journal:  Clin Cancer Res       Date:  2017-08-11       Impact factor: 12.531

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Review 3.  Atezolizumab for the treatment of triple-negative breast cancer.

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Journal:  Expert Opin Investig Drugs       Date:  2018-12-01       Impact factor: 6.206

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Journal:  J Pathol       Date:  2016-11-29       Impact factor: 7.996

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Journal:  ACS Appl Mater Interfaces       Date:  2020-12-11       Impact factor: 9.229

6.  Peptide Blocking of PD-1/PD-L1 Interaction for Cancer Immunotherapy.

Authors:  Chunlin Li; Nengpan Zhang; Jundong Zhou; Chen Ding; Yaqing Jin; Xueyuan Cui; Kefeng Pu; Yimin Zhu
Journal:  Cancer Immunol Res       Date:  2017-12-07       Impact factor: 11.151

7.  Targeting the tumor microenvironment with interferon-β bridges innate and adaptive immune responses.

Authors:  Xuanming Yang; Xunmin Zhang; May Lynne Fu; Ralph R Weichselbaum; Thomas F Gajewski; Yajun Guo; Yang-Xin Fu
Journal:  Cancer Cell       Date:  2014-01-13       Impact factor: 31.743

Review 8.  The host STING pathway at the interface of cancer and immunity.

Authors:  Leticia Corrales; Sarah M McWhirter; Thomas W Dubensky; Thomas F Gajewski
Journal:  J Clin Invest       Date:  2016-07-01       Impact factor: 14.808

9.  Atezolizumab for First-Line Treatment of PD-L1-Selected Patients with NSCLC.

Authors:  Roy S Herbst; Giuseppe Giaccone; Filippo de Marinis; Niels Reinmuth; Alain Vergnenegre; Carlos H Barrios; Masahiro Morise; Enriqueta Felip; Zoran Andric; Sarayut Geater; Mustafa Özgüroğlu; Wei Zou; Alan Sandler; Ida Enquist; Kimberly Komatsubara; Yu Deng; Hiroshi Kuriki; Xiaohui Wen; Mark McCleland; Simonetta Mocci; Jacek Jassem; David R Spigel
Journal:  N Engl J Med       Date:  2020-10-01       Impact factor: 91.245

Review 10.  Prognostic value of tumor-infiltrating FoxP3+ regulatory T cells in cancers: a systematic review and meta-analysis.

Authors:  Bin Shang; Yao Liu; Shu-juan Jiang; Yi Liu
Journal:  Sci Rep       Date:  2015-10-14       Impact factor: 4.379

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