TGF-β score based on silico analysis can robustly predict prognosis and immunological characteristics in lower-grade glioma: the evidence from multicenter studies

doi:10.2174/1574892819666230915143632

科研成果详情

题名	TGF-β score based on silico analysis can robustly predict prognosis and immunological characteristics in lower-grade glioma: the evidence from multicenter studies
作者	Weizhong Zhang1; Zhiyuan Yan1; Feng Zhao2; Qinggui He 2; Hongbo Xu2
发表日期	2023-09-15
发表期刊	Recent patents on anti-cancer drug discovery 影响因子和分区
语种	英语
原始文献类型	Journal Article
关键词	LGG TGF-? immunological characteristics prognosis tumor microenvironment
其他关键词	GROWTH-FACTOR-BETA ; TUMOR-SUPPRESSOR ; INHIBITION ; PATHWAY
摘要	Nowadays, mounting evidence shows that variations in TGF-β signaling pathway-related components influence tumor development. Current research has patents describing the use of anti-TGF-β antibodies and checkpoint inhibitors for the treatment of proliferative diseases. Importantly, TGF-β signaling pathway is significant for lower-grade glioma (LGG) to evade host immunity. Loss of particular tumor antigens and shutdown of professional antigen-presenting cell activity may render the anti-tumor response ineffective in LGG patients. However, the prognostic significance of TGF-β related genes in LGG is still unknown., We collected RNA-seq data from the GTEx database (normal cortical tissues), the Cancer Genome Atlas database (TCGA-LGG), and the Chinese Glioma Genome Atlas database (CGGA-693 and CGGA-325) for conducting our investigation., In addition, previous publications were explored for the 223 regulators of the TGF-β signaling pathway, and 30 regulators with abnormal expression in TCGA and GTEx database were identified. In order to identify hub prognostic regulators, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis were used to screen from differentially expressed genes (DEGs). On the basis of 11 genes from LASSO-Cox regression analysis (NEDD8, CHRD, TGFBR1, TP53, BMP2, LRRC32, THBS2, ID1, NOG, TNF, and SERPINE1), TGF-β score was calculated. Multiple statistical approaches verified the predictive value of the TGF-β score for the training cohort and two external validation cohorts. Considering the importance of the TGF-β signaling pathway in immune regulation, we evaluated the prediction of the TGF-β score for immunological characteristics and the possible application of the immunotherapeutic response using six algorithms (TIMER, CIBERSORT, QUANTISEQ, MCP-counter, XCELL and EPIC) and three immunotherapy cohorts (GSE78820, Imvigor-210 and PRJEB23709). Notably, we compared our risk signature with the signature in ten publications in the meta-cohort (TCGA-LGG, CGGA-693 and CGGA-325), and the TGF-β score had the best predictive efficiency (C-index =0.812)., In conclusion, our findings suggest that TGF-β signaling pathway-related signatures are prognostic biomarkers in LGG and provide a novel tool for tumor microenvironment (TME) assessment.
资助项目	ZheJiang Province Medical and Health Research Project [2019RC048]; WenZhou Science and Technology Bureau Project [2020Y0673]
出版者	BENTHAM SCIENCE PUBL LTD
ISSN	1574-8928
EISSN	2212-3970
卷号	19 期号:5 页码:610-621
DOI	10.2174/1574892819666230915143632
页数	12
WOS类目	Oncology ; Pharmacology & Pharmacy
WOS研究方向	Oncology ; Pharmacology & Pharmacy
WOS记录号	WOS:001271253200004
收录类别	PUBMED ; SCIE ; SCOPUS
URL	查看原文
PubMed ID	37718518
SCOPUSEID	2-s2.0-85197657258
通讯作者地址	[Xu, Hongbo]Wenzhou Med Univ, Affiliated Hosp 1, Dept Traumat Surg & Emergency Surg, Wenzhou, Zhejiang, Peoples R China.
Scopus学科分类	Oncology;Drug Discovery;Cancer Research;Pharmacology (medical)
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/182924
专题	附属第一医院_神经外科附属第一医院
作者单位	1.Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.; 2.Department of Traumatic Surgery & Emergency Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
第一作者单位	附属第一医院_神经外科
通讯作者单位	附属第一医院
第一作者的第一单位	附属第一医院_神经外科
推荐引用方式 GB/T 7714	Weizhong Zhang,Zhiyuan Yan,Feng Zhao,et al. TGF-β score based on silico analysis can robustly predict prognosis and immunological characteristics in lower-grade glioma: the evidence from multicenter studies[J]. Recent patents on anti-cancer drug discovery,2023,19(5):610-621.
APA	Weizhong Zhang, Zhiyuan Yan, Feng Zhao, Qinggui He, & Hongbo Xu. (2023). TGF-β score based on silico analysis can robustly predict prognosis and immunological characteristics in lower-grade glioma: the evidence from multicenter studies. Recent patents on anti-cancer drug discovery, 19(5), 610-621.
MLA	Weizhong Zhang,et al."TGF-β score based on silico analysis can robustly predict prognosis and immunological characteristics in lower-grade glioma: the evidence from multicenter studies".Recent patents on anti-cancer drug discovery 19.5(2023):610-621.