Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients
The prognosis of patients with glioma is largely related to both the tumor-infiltrating immune cells and the expression of RNA-binding proteins (RBPs) that are able to regulate various pro-inflammatory and oncogenic mediators. However, immune-associated RBPs in glioma remain unexplored. In this stud...
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doaj-b264c1e07bde4d419010d63be4fae8142021-04-06T23:02:16ZengMDPI AGCancers2072-66942021-04-01131730173010.3390/cancers13071730Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma PatientsRuotong Tian0Yimin Li1Qian Liu2Minfeng Shu3Department of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, No.131 Dong’an Road, Xuhui District, Shanghai 200032, ChinaDepartment of Pathology, Fudan University Shanghai Cancer Center, No.270 Dong’an Road, Xuhui District, Shanghai 200032, ChinaDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, No.131 Dong’an Road, Xuhui District, Shanghai 200032, ChinaDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, No.131 Dong’an Road, Xuhui District, Shanghai 200032, ChinaThe prognosis of patients with glioma is largely related to both the tumor-infiltrating immune cells and the expression of RNA-binding proteins (RBPs) that are able to regulate various pro-inflammatory and oncogenic mediators. However, immune-associated RBPs in glioma remain unexplored. In this study, we captured patient data from The Cancer Genome Atlas (TCGA) and divided them into two immune subtype groups according to the difference in infiltration of immune cells. After differential expression and co-expression analysis, we identified 216 RBPs defined as immune-associated RBPs. After narrowing down processes, eight RBPs were selected out to construct a risk signature that proven to be a novel and independent prognostic factor. The patients were divided into high- and low-risk groups on the basis of risk score. Higher risk scores meant worse overall survival and higher expression of human leukocyte antigen and immune checkpoints such as PD1 and CTLA4. In addition, analyses of pathway enrichment, somatic mutation, copy number variations and immuno-/chemotherapeutic response prediction were performed in high- and low-risk groups and compared with each other. For the first time, we demonstrated a novel signature composed of eight immune-associated RBPs that was valuable in predicting the survival of glioma patients and directing immunotherapy and chemotherapy.https://www.mdpi.com/2072-6694/13/7/1730gliomaRNA-binding proteinimmune microenvironmenttumor-infiltrating immune cellsrisk scoreprognostic model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruotong Tian Yimin Li Qian Liu Minfeng Shu |
spellingShingle |
Ruotong Tian Yimin Li Qian Liu Minfeng Shu Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients Cancers glioma RNA-binding protein immune microenvironment tumor-infiltrating immune cells risk score prognostic model |
author_facet |
Ruotong Tian Yimin Li Qian Liu Minfeng Shu |
author_sort |
Ruotong Tian |
title |
Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients |
title_short |
Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients |
title_full |
Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients |
title_fullStr |
Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients |
title_full_unstemmed |
Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients |
title_sort |
identification and validation of an immune-associated rna-binding proteins signature to predict clinical outcomes and therapeutic responses in glioma patients |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2021-04-01 |
description |
The prognosis of patients with glioma is largely related to both the tumor-infiltrating immune cells and the expression of RNA-binding proteins (RBPs) that are able to regulate various pro-inflammatory and oncogenic mediators. However, immune-associated RBPs in glioma remain unexplored. In this study, we captured patient data from The Cancer Genome Atlas (TCGA) and divided them into two immune subtype groups according to the difference in infiltration of immune cells. After differential expression and co-expression analysis, we identified 216 RBPs defined as immune-associated RBPs. After narrowing down processes, eight RBPs were selected out to construct a risk signature that proven to be a novel and independent prognostic factor. The patients were divided into high- and low-risk groups on the basis of risk score. Higher risk scores meant worse overall survival and higher expression of human leukocyte antigen and immune checkpoints such as PD1 and CTLA4. In addition, analyses of pathway enrichment, somatic mutation, copy number variations and immuno-/chemotherapeutic response prediction were performed in high- and low-risk groups and compared with each other. For the first time, we demonstrated a novel signature composed of eight immune-associated RBPs that was valuable in predicting the survival of glioma patients and directing immunotherapy and chemotherapy. |
topic |
glioma RNA-binding protein immune microenvironment tumor-infiltrating immune cells risk score prognostic model |
url |
https://www.mdpi.com/2072-6694/13/7/1730 |
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