Literature DB >> 29227586

Identification of potential crucial genes associated with carcinogenesis of clear cell renal cell carcinoma.

Erlin Song1, Wenting Song2, Minghua Ren1, Li Xing3, Wenjun Ni1, Yongxiang Li4, Mancheng Gong5, Mingbo Zhao1, Xin Ma6, Xu Zhang6, Ruihua An1.   

Abstract

Clear cell renal cell carcinoma (ccRCC) is a common genitourinary malignancy with high mortality. However, the molecular pathogenesis of ccRCC remains unclear and effective biomarkers for daily practice are still limited. Thus, we aimed to identify the potential crucial genes and pathways associated with carcinogenesis of ccRCC and further analyze the molecular mechanisms implicated in tumorigenesis. In the present study, expression profiles GSE 66270, GSE 53757, GSE 36895, and GSE 76351 were downloaded from GEO database, including 244 matched primary and adjacent normal tissues, furthermore, the level 3 RNAseq dataset (RNAseqV2 RSEM) of KIRC was also downloaded from The Cancer Genome Atlas (TCGA), which consist of 529 ccRCC tumors and 72 normal tissues. Then, differentially expressed genes (DEGs) and pathway enrichment were analyzed by using R software. A total of 129 up- and 123 down-regulated genes were identified, which were aberrantly expressed both in GEO and TCGA data. Second, Gene ontology (GO) analyses revealed that most of the DEGs were significantly enriched in integral component of membrane, extracellular exosome, plasma membrane, cell adhesion, and receptor binding. Signaling pathway analyses indicated that DEGs had common pathways in signal transduction, metabolism, and immune system. Third, hub genes were identified with protein-protein interaction (PPI) network, including PTPRC, TGFB1, EGF, MYC, ITGB2, CTSS, FN1, CCL5, KNG1, and CD86. Additionally, sub-networks analyse was also performed by using MCODE plugin. In conclusion, the novel DEGs and pathways in ccRCC identified in this study may provide new insight into the underlying molecular mechanisms that facilitates RCC carcinogenesis.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  bioinformatical analysis; carcinogenesis; clear cell renal cell carcinoma; differentially expressed genes

Mesh:

Year:  2018        PMID: 29227586     DOI: 10.1002/jcb.26543

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  27 in total

1.  [Therapeutic mechanism of natural astaxanthin against renal clear cell carcinoma based on network pharmacology and bioinformatics].

Authors:  J Gao; D Yang; R Cao; X Pan; J Xia
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2021-12-20

2.  MUC20 as a novel prognostic biomarker in ccRCC correlating with tumor immune microenvironment modulation.

Authors:  Bo Xue; Wen-Min Guo; Jie-Dong Jia; Gaohaer Kadeerhan; Hua-Ping Liu; Tao Bai; Yuan Shao; Dong-Wen Wang
Journal:  Am J Cancer Res       Date:  2022-02-15       Impact factor: 6.166

3.  Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics Analysis.

Authors:  Xinkui Liu; Jiarui Wu; Dan Zhang; Zhitong Bing; Jinhui Tian; Mengwei Ni; Xiaomeng Zhang; Ziqi Meng; Shuyu Liu
Journal:  Front Genet       Date:  2018-07-17       Impact factor: 4.599

4.  Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinoma.

Authors:  Hao Cui; Lei Xu; Zhi Li; Ke-Zuo Hou; Xiao-Fang Che; Bo-Fang Liu; Yun-Peng Liu; Xiu-Juan Qu
Journal:  Oncol Lett       Date:  2020-06-05       Impact factor: 2.967

5.  Identification of key candidate genes and biological pathways in bladder cancer.

Authors:  Xin Gao; Yinyi Chen; Mei Chen; Shunlan Wang; Xiaohong Wen; Shufang Zhang
Journal:  PeerJ       Date:  2018-12-04       Impact factor: 2.984

6.  COL1A1: A potential therapeutic target for colorectal cancer expressing wild-type or mutant KRAS.

Authors:  Zheying Zhang; Cheng Fang; Yongxia Wang; Jinghang Zhang; Jian Yu; Yongxi Zhang; Xianwei Wang; Jiateng Zhong
Journal:  Int J Oncol       Date:  2018-08-22       Impact factor: 5.650

7.  Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma.

Authors:  Jin Li; Liping Guo; Li Chai; Zisheng Ai
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

8.  Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis.

Authors:  Zeyang Wang; Zhi Lv; Qian Xu; Liping Sun; Yuan Yuan
Journal:  Cancer Cell Int       Date:  2021-07-12       Impact factor: 5.722

9.  Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD.

Authors:  Xiao Liu; Jingge Qu; Weixiao Xue; Liangai He; Jun Wang; Xuejiao Xi; Xiaoxia Liu; Yunhong Yin; Yiqing Qu
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-04-16

10.  Identification of key candidate targets and pathways for the targeted treatment of leukemia stem cells of chronic myelogenous leukemia using bioinformatics analysis.

Authors:  Huayao Li; Lijuan Liu; Jing Zhuang; Cun Liu; Chao Zhou; Jing Yang; Chundi Gao; Gongxi Liu; Changgang Sun
Journal:  Mol Genet Genomic Med       Date:  2019-08-02       Impact factor: 2.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.