Literature DB >> 31490025

A large-scale transcriptome analysis identified ELANE and PRTN3 as novel methylation prognostic signatures for clear cell renal cell carcinoma.

Zhongheng Wei1, Bo Wu2, Li Wang3, Juan Zhang4.   

Abstract

DNA methylation was involved in the progress of many types of cancer including clear cell renal cell carcinomas (ccRCCs). This study aimed to identify the prognostic DNA methylation biomarkers for the ccRCCs by a large-scale RNA-seq analysis. The DNA methylation data and the corresponding clinical information of the patients with ccRCCs were extracted from TCGA database and randomly divided into the training group and the validation group. The differentially expressed CpG sites and the survival-related CpG sites were further identified, which was combined into CpG sites pair and followed by screening the survival-related pairs. The C-index and the forward search algorithms were constructed to identify the prognostic signatures for the patients with ccRCCs. The prognostic signatures were verified by the validation dataset and the protein-protein interactions (PPI) network analysis was performed on the CPG sites of the signature. A total of 9,861 differentially expressed CPG sites were identified and 567 CpG sites were found to relate to the overall survival (OS) of the patients with ccRCCs. Besides, 1,146 CPG sites pairs were found to be related to the OS of the ccRCCs samples and the signature composed of seven CpG sites pairs were obtained to predict the prognosis of patients with ccRCCs and the results were verified in the validation dataset. Besides, the PPI network analysis showed that ELANE and PRTN3 gene may be associated with the invasion and metastasis of ccRCCs and could function as potential prognostic and therapeutic signatures for ccRCCs.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  ELANE; PRTN3; clear cell renal cell carcinoma; methylation; prognosis

Year:  2019        PMID: 31490025     DOI: 10.1002/jcp.29162

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  4 in total

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Journal:  Front Oncol       Date:  2022-06-10       Impact factor: 5.738

2.  Bioinformatics Analysis Identifies Key Genes and Pathways in Acute Myeloid Leukemia Associated with DNMT3A Mutation.

Authors:  Shuyi Chen; Yimin Chen; Jielun Lu; Danyun Yuan; Lang He; Huo Tan; Lihua Xu
Journal:  Biomed Res Int       Date:  2020-11-23       Impact factor: 3.411

3.  Laryngeal Squamous Cell Carcinoma: Potential Molecular Mechanism and Prognostic Signature Based on Immune-Related Genes.

Authors:  Bin-Yu Mo; Guo-Sheng Li; Su-Ning Huang; Zhu-Xin Wei; Ya-Si Su; Wen-Bin Dai; Lin Ruan
Journal:  Med Sci Monit       Date:  2020-12-26

4.  A novel pyroptosis-related gene signature predicts the prognosis of glioma through immune infiltration.

Authors:  Moxuan Zhang; Yanhao Cheng; Zhengchun Xue; Qiang Sun; Jian Zhang
Journal:  BMC Cancer       Date:  2021-12-07       Impact factor: 4.430

  4 in total

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