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Erschienen in: Journal of Cancer Research and Clinical Oncology 14/2023

21.07.2023 | Research

Identification of cytokine-predominant immunosuppressive class and prognostic risk signatures in glioma

verfasst von: Ziyue Tian, Zhongyi Yang, Meng Jin, Ran Ding, Yuhan Wang, Yuying Chai, Jinpu Wu, Miao Yang, Weimin Zhao

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 14/2023

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Abstract

Purpose

The advent of immune checkpoint blockade (ICB) therapies this year has changed the way glioblastoma (GBM) is treated. Meanwhile, some patients with strong PD-L1 expression remain immune checkpoint resistant. To better understand the molecular processes that influence the immune environment, there is an urgent need to characterize the immunosuppressive tumor microenvironment and identify biomarkers to predict patient survival outcomes.

Patients and methods

Our study analyzed RNA-sequencing data from 178 GBM samples. Their unique gene expression patterns in the tumor microenvironment were analyzed by an unsupervised clustering algorithm. Through these expression patterns, a panel of T-cell exhaustion signatures, immunosuppressive cells, and clinical features correlates with immunotherapy response. The presence or absence of immune status and prognostic signatures was then validated with the test dataset.

Results

38.2% of GBM patients showed increased expression of anti-inflammatory cytokines, significant enrichment of T cell exhaustion signals, higher proportion of immunosuppressive cells (macrophages and CD4 regulatory T cells) and nine inhibitory checkpoints (CTLA4, PDCD1, LAG3, BTLA, TIGIT, HAVCR2, IDO1, SIGLEC7, and VISTA). The immunodepleted class (IDC) was used to classify these immunocompromised individuals. Despite the high density of tumor-infiltrating lymphocytes shown by IDC, such patients have a poor prognosis. Although PD-L1 was highly expressed in IDC, it suggested that there might be ICB resistance. There are many IDC predictive signatures to discover.

Conclusion

PD-1 is strongly expressed in a novel immunosuppressive class of GBM, but this cluster may be resistant to ICB therapy. A comprehensive description of this drug-resistant tumor microenvironment could provide new insights into drug resistance mechanisms and improved immunotherapy techniques.
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Metadaten
Titel
Identification of cytokine-predominant immunosuppressive class and prognostic risk signatures in glioma
verfasst von
Ziyue Tian
Zhongyi Yang
Meng Jin
Ran Ding
Yuhan Wang
Yuying Chai
Jinpu Wu
Miao Yang
Weimin Zhao
Publikationsdatum
21.07.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Cancer Research and Clinical Oncology / Ausgabe 14/2023
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-023-05173-4

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