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Siglecs, Novel Immunotherapy Targets, Potentially Enhance The Effectiveness of Existing Immune Checkpoint Inhibitors in Glioma Immunotherapy.
Li, Guan-Zhang; Zhang, Ke-Nan; Wang, Zheng; Hu, Hui-Min; Wang, Zhi-Liang; Huang, Ruo-Yu; Jiang, Hao-Yu; Zhai, You; Feng, Yue-Mei; Chang, Yuan-Hao; Li, Ren-Peng; Wu, Fan; Zeng, Fan; Jiang, Tao; Zhang, Wei.
Afiliação
  • Li GZ; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Zhang KN; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Wang Z; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, People's Republic of China.
  • Hu HM; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Wang ZL; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Huang RY; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Jiang HY; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, People's Republic of China.
  • Zhai Y; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Feng YM; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Chang YH; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Li RP; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, People's Republic of China.
  • Wu F; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Zeng F; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Jiang T; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, People's Republic of China.
  • Zhang W; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, People's Republic of China.
Onco Targets Ther ; 12: 10263-10273, 2019.
Article em En | MEDLINE | ID: mdl-31819511
BACKGROUND: Inhibitors of immune checkpoints have shown little effect in clinical trials involving glioma patients. Here, we explored novel targets for use in future treatments. Previous studies showed the sialic acid-binding Ig-like lectin (Siglec) family to have a specific role in immunosuppression. We aimed to study the characteristics and immune function of Siglec family members. METHODS: Transcriptome data from 1024 glioma samples and 1551 glioma single cells were used in our study. Clinical and molecular pathology information was also included. Statistical, bioinformatical methods, and single-cell sequencing analysis were applied to investigate the role of Siglec family members. RESULTS: Siglecs-5, -7, -9, and -16 showed a significant correlation with immunosuppression in glioma. They are typically expressed in higher grade, IDH-wildtype, and mesenchymal subtype gliomas. Siglec-5, -7, and -9 had a similar immune function to TIM-3, while Siglec-16 was similar to PD-L1, suppressing tumor immunity via different mechanisms. Joint use of Siglec-inhibitors and immune checkpoint inhibitors could prolong the survival of glioma patients. CONCLUSION: Siglec-5, -7, -9, and -16 suppressed tumor immunity in different ways. Joint usage of inhibitors may be an effective means to improve the efficacy of glioma immunotherapy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article