Literature DB >> 33069830

A risk signature of three autophagy-related genes for predicting lower grade glioma survival is associated with tumor immune microenvironment.

Jia-Zhe Lin1, Nuan Lin2.   

Abstract

Treatment for lower-grade gliomas (LGG) has been challenging. Though emerging approaches such as immunotherapy is promising, it is still faced with immune tolerance, an obstacle that may be overcome by targeting autophagy-related (ATG) genes. After identifying three differentially expressed ATG genes (RIPK2, MUL1 and CXCR4), we constructed an ATG gene risk signature by Kaplan-Meier, univariate Cox regression, least absolute shrinkage and selection operator regression and multivariate Cox regression, followed by internal and external validation using K-M and ROC analysis. Since gene set enrichment analysis (GSEA) suggested that the signature was strongly associated with immune cell functions, CIBERSORT, LM22 matrix and Pearson correlation were further performed, showing that the risk signature was significantly correlated with immune cell infiltration and immune checkpoint genes. In conclusion, we identified and independently validated an ATG gene risk signature for LGG patients, as well as discovering its significant association with LGG immune microenvironment.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Autophagy; Computational biology; Glioma; Immune microenvironment; Risk signature

Mesh:

Substances:

Year:  2020        PMID: 33069830     DOI: 10.1016/j.ygeno.2020.10.008

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  6 in total

1.  Identification of a Nomogram with an Autophagy-Related Risk Signature for Survival Prediction in Patients with Glioma.

Authors:  Xiaofeng Fu; Luwei Hong; Haiying Gong; Guangjuan Kan; Pengfei Zhang; Ting-Ting Cui; Gonglin Fan; Xing Si; Jiang Zhu
Journal:  Int J Gen Med       Date:  2022-02-15

2.  A Novel Prognostic Model Based on Autophagy-Related Long Non-Coding RNAs for Clear Cell Renal Cell Carcinoma.

Authors:  Xinyuan Li; Haitao Yu; Zongjie Wei; Xin Gou; Simin Liang; Fu Liu
Journal:  Front Oncol       Date:  2021-08-03       Impact factor: 6.244

3.  Identification of autophagic target RAB13 with small-molecule inhibitor in low-grade glioma via integrated multi-omics approaches coupled with virtual screening of traditional Chinese medicine databases.

Authors:  Wei Su; Minru Liao; Huidan Tan; Yanmei Chen; Rongyan Zhao; Wenke Jin; Shiou Zhu; Yiwen Zhang; Li He; Bo Liu
Journal:  Cell Prolif       Date:  2021-10-10       Impact factor: 6.831

Review 4.  Breaking Bad: Autophagy Tweaks the Interplay Between Glioma and the Tumor Immune Microenvironment.

Authors:  Yuxiang Fan; Yubo Wang; Jian Zhang; Xuechao Dong; Pu Gao; Kai Liu; Chengyuan Ma; Gang Zhao
Journal:  Front Immunol       Date:  2021-10-04       Impact factor: 7.561

5.  APOLLO: An accurate and independently validated prediction model of lower-grade gliomas overall survival and a comparative study of model performance.

Authors:  Jiajin Chen; Sipeng Shen; Yi Li; Juanjuan Fan; Shiyu Xiong; Jingtong Xu; Chenxu Zhu; Lijuan Lin; Xuesi Dong; Weiwei Duan; Yang Zhao; Xu Qian; Zhonghua Liu; Yongyue Wei; David C Christiani; Ruyang Zhang; Feng Chen
Journal:  EBioMedicine       Date:  2022-04-15       Impact factor: 11.205

6.  Development of a Hallmark Pathway-Related Gene Signature Associated with Immune Response for Lower Grade Gliomas.

Authors:  Guichuan Lai; Xiaoni Zhong; Hui Liu; Jielian Deng; Kangjie Li; Biao Xie
Journal:  Int J Mol Sci       Date:  2022-10-09       Impact factor: 6.208

  6 in total

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