Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jianhua, Du, Jin, Jin, Zhihai, Qian, Jiang, Xu, Jinfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
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
_version_ 1785073644212322304
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
work_keys_str_mv AT zhangjianhua anovelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT dujin anovelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT jinzhihai anovelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT qianjiang anovelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT xujinfa anovelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT zhangjianhua novelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT dujin novelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT jinzhihai novelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT qianjiang novelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma
AT xujinfa novelimmunogeniccelldeathsignatureforthepredictionofprognosisandtherapiesinglioma