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A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma
Glioma is a primary cranial malignancy with high recurrence rate, poor prognosis and high mortality. However, the roles of immunogenic cell death (ICD) in glioma remain unclear. Twenty ICD genes were analyzed to be differentially expressed between glioma tissues and non-tumor tissues in 371 glioma p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348309/ https://www.ncbi.nlm.nih.gov/pubmed/37456890 http://dx.doi.org/10.7717/peerj.15615 |
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author | Zhang, Jianhua Du, Jin Jin, Zhihai Qian, Jiang Xu, Jinfa |
author_facet | Zhang, Jianhua Du, Jin Jin, Zhihai Qian, Jiang Xu, Jinfa |
author_sort | Zhang, Jianhua |
collection | PubMed |
description | Glioma is a primary cranial malignancy with high recurrence rate, poor prognosis and high mortality. However, the roles of immunogenic cell death (ICD) in glioma remain unclear. Twenty ICD genes were analyzed to be differentially expressed between glioma tissues and non-tumor tissues in 371 glioma patients from The Cancer Genome Atlas (TCGA). Patients were classified into three subgroups via unsupervised clustering. Interestingly, the features of cell-infiltrating from three clusters were matched with three immune phenotypes. An applied scoring system was built depending on the expression of hub ICD-related genes. Notably, the ICD-related score was linked with immune checkpoints and the prognosis of glioma patients. In addition, the applied risk model could be used for the prediction of the effect of chemotherapy and immunotherapy for glioma patients. Furthermore, MYD88 was identified to play key roles in the risk model for glioma patients. MYD88 was specifically expressed in malignant cells and validated to correlate with cell proliferation and invasion. Ligand–receptor pairs are determined as novel communications indicating between immunocytes and malignant cells. Therefore, our research established an ICD-related score to investigate the potential effect to chemotherapy and immunotherapy for glioma patients and indicated that MYD88 was a key role in this risk model. |
format | Online Article Text |
id | pubmed-10348309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103483092023-07-15 A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma Zhang, Jianhua Du, Jin Jin, Zhihai Qian, Jiang Xu, Jinfa PeerJ Bioinformatics Glioma is a primary cranial malignancy with high recurrence rate, poor prognosis and high mortality. However, the roles of immunogenic cell death (ICD) in glioma remain unclear. Twenty ICD genes were analyzed to be differentially expressed between glioma tissues and non-tumor tissues in 371 glioma patients from The Cancer Genome Atlas (TCGA). Patients were classified into three subgroups via unsupervised clustering. Interestingly, the features of cell-infiltrating from three clusters were matched with three immune phenotypes. An applied scoring system was built depending on the expression of hub ICD-related genes. Notably, the ICD-related score was linked with immune checkpoints and the prognosis of glioma patients. In addition, the applied risk model could be used for the prediction of the effect of chemotherapy and immunotherapy for glioma patients. Furthermore, MYD88 was identified to play key roles in the risk model for glioma patients. MYD88 was specifically expressed in malignant cells and validated to correlate with cell proliferation and invasion. Ligand–receptor pairs are determined as novel communications indicating between immunocytes and malignant cells. Therefore, our research established an ICD-related score to investigate the potential effect to chemotherapy and immunotherapy for glioma patients and indicated that MYD88 was a key role in this risk model. PeerJ Inc. 2023-07-11 /pmc/articles/PMC10348309/ /pubmed/37456890 http://dx.doi.org/10.7717/peerj.15615 Text en © 2023 Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Zhang, Jianhua Du, Jin Jin, Zhihai Qian, Jiang Xu, Jinfa A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
title | A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
title_full | A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
title_fullStr | A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
title_full_unstemmed | A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
title_short | A novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
title_sort | novel immunogenic cell death signature for the prediction of prognosis and therapies in glioma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348309/ https://www.ncbi.nlm.nih.gov/pubmed/37456890 http://dx.doi.org/10.7717/peerj.15615 |
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