Literature DB >> 33718182

Mining of RNA Methylation-Related Genes and Elucidation of Their Molecular Biology in Gallbladder Carcinoma.

Changhong Yang1, Jialei Chen2, Zhe Yu3, Jing Luo4, Xuemei Li4, Baoyong Zhou5, Ning Jiang4.   

Abstract

Gallbladder carcinoma (GBC), which has high invasion and metastasis risks, remains the most common biliary tract malignancy. Surgical resection for GBC is the only effective treatment, but most patients miss the opportunity for curative surgery because of a lack of timely diagnosis. The aim of this study was to identify and verify early candidate diagnostic and prognostic RNA methylation related genes for GBC via integrated transcriptome bioinformatics analysis. Lists of GBC-related genes and methylation-related genes were collected from public databases to screen differentially expressed genes (DEGs) by using the limma package and the RobustRankAggreg (RRA) package. The core genes were collected with batch effects corrected by the RRA algorithm through protein interaction network analysis, signaling pathway enrichment analysis and gene ranking. Four modules obtained from four public microarray datasets were found to be related to GBC, and FGA, F2, HAO1, CFH, PIPOX, ITIH4, GNMT, MAT1A, MTHFD1, HPX, CTH, EPHX2, HSD17B6, AKR1C4, CFHR3, ENNP1, and NAT2 were revealed to be potential hub genes involved in methylation-related pathways and bile metabolism-related pathways. Among these, FGA, CFH, F2, HPX, and PIPOX were predicted to be methylated genes in GBC, but POPIX had no modification sites for RNA methylation. Furthermore, survival analysis of TCGA (the Cancer Genome Atlas) database showed that six genes among the hub genes, FGA, CFH, ENPP1, CFHR3, ITIH4, and NAT2, were highly expressed and significantly correlated with worse prognosis. Gene correlation analysis revealed that the FGA was positively correlated with the ENPP1, NAT2, and CFHR3, while CFH was positively correlated with the NAT2, CFHR3, and FGA. In addition, the results of immunohistochemistry (IHC) showed that the expressions of FGA, F2, CFH, PIPOX, ITIH4, GNMT, MAT1A, MTHFD1, HPX, CFHR3, NAT2, and ENPP1 were higher in GBC tissues than that in control tissues. In conclusion, two genes, FGA and CFH, were identified as RNA methylation-related genes also involved in bile metabolism in GBC, which may be novel biomarkers to early diagnose and evaluate prognosis for GBC.
Copyright © 2021 Yang, Chen, Yu, Luo, Li, Zhou and Jiang.

Entities:  

Keywords:  RNA methylation; bile metabolism; bioinformatics; biomarkers; differentially expressed genes; gallbladder carcinoma

Year:  2021        PMID: 33718182      PMCID: PMC7947712          DOI: 10.3389/fonc.2021.621806

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  43 in total

1.  Hemopexin counteracts systolic dysfunction induced by heme-driven oxidative stress.

Authors:  Giada Ingoglia; Can Martin Sag; Nikolai Rex; Lucia De Franceschi; Francesca Vinchi; James Cimino; Sara Petrillo; Stefan Wagner; Klaus Kreitmeier; Lorenzo Silengo; Fiorella Altruda; Lars S Maier; Emilio Hirsch; Alessandra Ghigo; Emanuela Tolosano
Journal:  Free Radic Biol Med       Date:  2017-04-08       Impact factor: 7.376

2.  RNA N6-methyladenosine methyltransferase-like 3 promotes liver cancer progression through YTHDF2-dependent posttranscriptional silencing of SOCS2.

Authors:  Mengnuo Chen; Lai Wei; Cheuk-Ting Law; Felice Ho-Ching Tsang; Jialing Shen; Carol Lai-Hung Cheng; Long-Hin Tsang; Daniel Wai-Hung Ho; David Kung-Chun Chiu; Joyce Man-Fong Lee; Carmen Chak-Lui Wong; Irene Oi-Lin Ng; Chun-Ming Wong
Journal:  Hepatology       Date:  2018-04-19       Impact factor: 17.425

3.  The Gene Expression Omnibus Database.

Authors:  Emily Clough; Tanya Barrett
Journal:  Methods Mol Biol       Date:  2016

4.  FTO regulates the chemo-radiotherapy resistance of cervical squamous cell carcinoma (CSCC) by targeting β-catenin through mRNA demethylation.

Authors:  Shun Zhou; Zhou-Lan Bai; Di Xia; Zhi-Jun Zhao; Ren Zhao; Yan-Yang Wang; Hong Zhe
Journal:  Mol Carcinog       Date:  2018-02-01       Impact factor: 4.784

5.  YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA.

Authors:  Hailing Shi; Xiao Wang; Zhike Lu; Boxuan S Zhao; Honghui Ma; Phillip J Hsu; Chang Liu; Chuan He
Journal:  Cell Res       Date:  2017-01-20       Impact factor: 25.617

6.  Dynamics of the human and viral m(6)A RNA methylomes during HIV-1 infection of T cells.

Authors:  Gianluigi Lichinchi; Shang Gao; Yogesh Saletore; Gwendolyn Michelle Gonzalez; Vikas Bansal; Yinsheng Wang; Christopher E Mason; Tariq M Rana
Journal:  Nat Microbiol       Date:  2016-02-22       Impact factor: 17.745

7.  Age-related gene expression and DNA methylation changes in rhesus macaque.

Authors:  Min Zhou; Liang Zhang; Qiao Yang; Chaochao Yan; Peng Jiang; Yue Lan; Jiao Wang; Ruixiang Tang; Miao He; Guanglun Lei; Pan Sun; Na Su; Megan Price; Jing Li; Fangzhao Lin; Bisong Yue; Zhenxin Fan
Journal:  Genomics       Date:  2020-09-11       Impact factor: 5.736

8.  Nuclear m6A reader YTHDC1 regulates alternative polyadenylation and splicing during mouse oocyte development.

Authors:  Seth D Kasowitz; Jun Ma; Stephen J Anderson; N Adrian Leu; Yang Xu; Brian D Gregory; Richard M Schultz; P Jeremy Wang
Journal:  PLoS Genet       Date:  2018-05-25       Impact factor: 5.917

9.  Dysregulation of cystathionine γ-lyase promotes prostate cancer progression and metastasis.

Authors:  Yi-Hsiang Wang; Jo-Ting Huang; Wen-Ling Chen; Rong-Hsuan Wang; Ming-Chien Kao; Yan-Ru Pan; Shih-Hsuan Chan; Kuo-Wang Tsai; Hsing-Jien Kung; Kai-Ti Lin; Lu-Hai Wang
Journal:  EMBO Rep       Date:  2019-08-29       Impact factor: 8.807

10.  Implications of differences in expression of sarcosine metabolism-related proteins according to the molecular subtype of breast cancer.

Authors:  Ja Kyung Yoon; Do Hee Kim; Ja Seung Koo
Journal:  J Transl Med       Date:  2014-05-28       Impact factor: 5.531

View more
  3 in total

1.  A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma.

Authors:  Zhirui Zeng; Shan Lei; Jingya Wang; Yushi Yang; Jinzhi Lan; Qianting Tian; Tengxiang Chen; Xiaojiang Hao
Journal:  Bioengineered       Date:  2022-05       Impact factor: 6.832

2.  The miR-590-3p/CFHR3/STAT3 signaling pathway promotes cell proliferation and metastasis in hepatocellular carcinoma.

Authors:  Zhongzhong Wan; Xingrun Li; Xinru Luo; Bofan Wang; Xiang Zhou; Ao Chen
Journal:  Aging (Albany NY)       Date:  2022-07-18       Impact factor: 5.955

3.  Complement system-related genes in stomach adenocarcinoma: Prognostic signature, immune landscape, and drug resistance.

Authors:  Xiaoxia Tong; Xiaohu Yang; Xiaojuan Tong; Dong Zhai; Yonglei Liu
Journal:  Front Genet       Date:  2022-09-08       Impact factor: 4.772

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.