Literature DB >> 33917399

Identification and Validation of an Immune-Associated RNA-Binding Proteins Signature to Predict Clinical Outcomes and Therapeutic Responses in Glioma Patients.

Ruotong Tian1, Yimin Li2, Qian Liu1, Minfeng Shu1.   

Abstract

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.

Entities:  

Keywords:  RNA-binding protein; chemotherapy; glioma; immune microenvironment; immunotherapy; prognostic model; risk score; tumor-infiltrating immune cells

Year:  2021        PMID: 33917399     DOI: 10.3390/cancers13071730

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  7 in total

1.  Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients.

Authors:  Zhaoyue Yan; Yushuai Gao; Jinliang Yu; Zhiyuan Shen; Xingyao Bu
Journal:  J Immunol Res       Date:  2022-05-18       Impact factor: 4.493

2.  Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma.

Authors:  Jimin He; Chun Zeng; Yong Long
Journal:  Comput Math Methods Med       Date:  2021-08-27       Impact factor: 2.238

3.  The Role of m5C-Related lncRNAs in Predicting Overall Prognosis and Regulating the Lower Grade Glioma Microenvironment.

Authors:  Hongshu Zhou; Ming Meng; Zeyu Wang; Hao Zhang; Liting Yang; Chuntao Li; Liyang Zhang
Journal:  Front Oncol       Date:  2022-03-18       Impact factor: 6.244

4.  A 13-Gene Signature Based on Estrogen Response Pathway for Predicting Survival and Immune Responses of Patients With UCEC.

Authors:  Yimin Li; Ruotong Tian; Jiaxin Liu; Chunlin Ou; Qihui Wu; Xiaodan Fu
Journal:  Front Mol Biosci       Date:  2022-04-26

5.  Stemness analysis in hepatocellular carcinoma identifies an extracellular matrix gene-related signature associated with prognosis and therapy response.

Authors:  Lei Chen; Dafang Zhang; Shengmin Zheng; Xinyu Li; Pengji Gao
Journal:  Front Genet       Date:  2022-08-30       Impact factor: 4.772

6.  Circadian Regulation Patterns With Distinct Immune Landscapes in Gliomas Aid in the Development of a Risk Model to Predict Prognosis and Therapeutic Response.

Authors:  Ruotong Tian; Yimin Li; Minfeng Shu
Journal:  Front Immunol       Date:  2022-01-06       Impact factor: 7.561

7.  A novel risk signature with 6 RNA binding proteins for prognosis prediction in patients with glioblastoma.

Authors:  Qian-Rong Huang; Jian-Wen Li; Xin-Bin Pan
Journal:  Medicine (Baltimore)       Date:  2021-12-03       Impact factor: 1.817

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.