Literature DB >> 33096258

An 18-gene signature based on glucose metabolism and DNA methylation improves prognostic prediction for urinary bladder cancer.

Zhuonan Liu1, Tianshui Sun2, Zhe Zhang1, Jianbin Bi3, Chuize Kong4.   

Abstract

BACKGROUND: Glucose metabolism and DNA methylation play important roles in cancers. We aimed to identify glucose metabolism-related genes that were DNA methylation associated to establish a prognostic signature of bladder cancer (BLCA).
METHODS: With BLCA sample transcriptome data from The Cancer Genome Atlas (TCGA) and methylation data from TCGA 450 K microarray, glucose metabolism-related genes associated to prognosis and DNA methylation were identified and a prognostic signature was established. GSEA and WGCNA analysis were performed and two genes, UCHL1 and PYCR1, were selected for functional validations.
RESULTS: 18 target genes were identified and the signature based on them was considered an effective and independent prognostic factor. Several pathways were enriched in the high-risk group by GSEA and three modules of genes were identified by WGCNA. UCHL1 and PYCR1 proliferated proliferation, migration and invasion ability of bladder cancer cells.
CONCLUSIONS: The 18-gene signature is an independent prognostic factor for bladder cancer patients.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bladder cancer; DNA methylation; Glucose metabolism; PYCR1; Prognostic factor; TCGA; UCHL1

Mesh:

Substances:

Year:  2020        PMID: 33096258     DOI: 10.1016/j.ygeno.2020.10.022

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


  13 in total

Review 1.  The role of IGF2BP2, an m6A reader gene, in human metabolic diseases and cancers.

Authors:  Jinyan Wang; Lijuan Chen; Ping Qiang
Journal:  Cancer Cell Int       Date:  2021-02-10       Impact factor: 5.722

2.  Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling.

Authors:  Shuyu Wang; Dali Xu; Bo Gao; Shuhan Yan; Yiwei Sun; Xinxing Tang; Yanjia Jiao; Shan Huang; Shumei Zhang
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

Review 3.  Structure, biochemistry, and gene expression patterns of the proline biosynthetic enzyme pyrroline-5-carboxylate reductase (PYCR), an emerging cancer therapy target.

Authors:  Alexandra N Bogner; Kyle M Stiers; John J Tanner
Journal:  Amino Acids       Date:  2021-05-18       Impact factor: 3.520

4.  High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL.

Authors:  Lu-Lu Wang; Dehong Yan; Xue Tang; Mengqi Zhang; Shilin Liu; Ying Wang; Min Zhang; Guichi Zhou; Tonghui Li; Feifei Jiang; Xiaowen Chen; Feiqiu Wen; Sixi Liu; Huirong Mai
Journal:  Front Oncol       Date:  2021-12-06       Impact factor: 6.244

5.  Adenylate cyclase-activating polypeptide 1 gene methylation predicts prognosis and the immune microenvironment of bladder cancer.

Authors:  Wenhao Xu; Aihetaimujiang Anwaier; Wangrui Liu; Xi Tian; Yuanyuan Qu; Jianyuan Zhao; Hailiang Zhang; Dingwei Ye
Journal:  Clin Transl Med       Date:  2021-10

6.  DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer.

Authors:  Fangdie Ye; Yingchun Liang; Jimeng Hu; Yun Hu; Yufei Liu; Zhang Cheng; Yuxi Ou; Chenyang Xu; Haowen Jiang
Journal:  Front Cell Dev Biol       Date:  2021-12-03

7.  Identification of Prognostic Biomarkers for Bladder Cancer Based on DNA Methylation Profile.

Authors:  Shumei Zhang; Jingyu Zhang; Qichao Zhang; Yingjian Liang; Youwen Du; Guohua Wang
Journal:  Front Cell Dev Biol       Date:  2022-01-31

8.  Upregulated of ANXA3, SORL1, and Neutrophils May Be Key Factors in the Progressionof Ankylosing Spondylitis.

Authors:  Jie Jiang; Xinli Zhan; Haishun Qu; Tuo Liang; Hao Li; Liyi Chen; Shengsheng Huang; Xuhua Sun; Wenyong Jiang; Jiarui Chen; Tianyou Chen; Yuanlin Yao; Shaofeng Wu; Jichong Zhu; Chong Liu
Journal:  Front Immunol       Date:  2022-04-06       Impact factor: 8.786

9.  Development and validation of an intra-tumor heterogeneity-related signature to predict prognosis of bladder cancer: a study based on single-cell RNA-seq.

Authors:  Ranran Zhou; Jingjing Liang; Qi Chen; Hu Tian; Cheng Yang; Cundong Liu
Journal:  Aging (Albany NY)       Date:  2021-08-02       Impact factor: 5.682

10.  Identification of a competing endogenous RNA axis "SVIL-AS1/miR-103a/ICE1" associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis.

Authors:  Lili Guo; Lina Ding; Junfang Tang
Journal:  Cancer Med       Date:  2021-07-15       Impact factor: 4.452

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.