Literature DB >> 23267173

In silico identification of oncogenic potential of fyn-related kinase in hepatocellular carcinoma.

Jia-Shing Chen1, Wei-Shiang Hung, Hsiang-Han Chan, Shaw-Jenq Tsai, H Sunny Sun.   

Abstract

MOTIVATION: Cancer development is a complex and heterogeneous process. It is estimated that 5-10% of human genes probably contribute to oncogenesis, whereas current experimentally validated cancer genes only cover 1% of the human genome. Thus hundreds of cancer genes may still remain to be identified. To search for new genes that play roles in carcinogenesis and facilitate cancer research, we developed a systematic workflow to use information saved in a previously established tumor-associated gene (TAG) database.
RESULTS: By exploiting the information of conserved protein domains from the TAG, we identified 183 potential new TAGs. As a proof-of-concept, one predicted oncogene, fyn-related kinase (FRK), which shows an aberrant digital expression pattern in liver cancer cells, was selected for further investigation. Using 68 paired hepatocellular carcinoma samples, we found that FRK was up-regulated in 52% of cases (P < 0.001). Tumorigenic assays performed in Hep3B and HepG2 cell lines revealed a significant correlation between the level of FRK expression and invasiveness, suggesting that FRK is a positive regulator of invasiveness in liver cancer cells.
CONCLUSION: These findings implied that FRK is a multitalented signal transduction molecule that produces diverse biological responses in different cell types in various microenvironments. In addition, our data demonstrated the accuracy of computational prediction and suggested that other predicted TAGs can be potential targets for future cancer research. AVAILABILITY: The TAG database is available online at the Bioinformatics Center website: http://www.binfo.ncku.edu.tw/TAG/.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23267173     DOI: 10.1093/bioinformatics/bts715

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  69 in total

1.  Identification of core miRNA based on small RNA-seq and RNA-seq for colorectal cancer by bioinformatics.

Authors:  Youwei Kou; Lei Qiao; Qiang Wang
Journal:  Tumour Biol       Date:  2014-11-21

2.  Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis.

Authors:  Yang Yang; Yiqiao Xing; Chaoqun Liang; Liya Hu; Fei Xu; Yuan Chen
Journal:  Tumour Biol       Date:  2015-02-14

3.  Hsa-miR-137, hsa-miR-520e and hsa-miR-590-3p perform crucial roles in Lynch syndrome.

Authors:  Changyu Zhou; Jiayu Li; Jiarui Li; Yingchun Wan; Tao Li; Piyong Ma; Yingjian Wang; Haiyan Sang
Journal:  Oncol Lett       Date:  2016-07-06       Impact factor: 2.967

4.  Analysis of the molecular mechanism of osteosarcoma using a bioinformatics approach.

Authors:  Jianxun Yang; Ning Wang
Journal:  Oncol Lett       Date:  2016-08-29       Impact factor: 2.967

5.  The Overexpression of CD80 and ISG15 Are Associated with the Progression and Metastasis of Breast Cancer by a Meta-Analysis Integrating Three Microarray Datasets.

Authors:  Yuanhang Li; Weijun Bai; Linlin Zhang
Journal:  Pathol Oncol Res       Date:  2018-11-09       Impact factor: 3.201

6.  Predicting associations between microRNAs and target genes in breast cancer by bioinformatics analyses.

Authors:  Tianying Zheng; Xing Zhang; Yonggang Wang; Xiucui Yu
Journal:  Oncol Lett       Date:  2016-06-15       Impact factor: 2.967

7.  FRK inhibits migration and invasion of human glioma cells by promoting N-cadherin/β-catenin complex formation.

Authors:  Qiong Shi; Xu Song; Jun Wang; Jia Gu; Weijian Zhang; Jinxia Hu; Xiuping Zhou; Rutong Yu
Journal:  J Mol Neurosci       Date:  2014-06-27       Impact factor: 3.444

Review 8.  How do oncoprotein mutations rewire protein-protein interaction networks?

Authors:  Emily H Bowler; Zhenghe Wang; Rob M Ewing
Journal:  Expert Rev Proteomics       Date:  2015-09-01       Impact factor: 3.940

9.  Effects of β-catenin on differentially expressed genes in multiple myeloma.

Authors:  Hui Chen; Wei Chai; Bin Li; Ming Ni; Guo-Qiang Zhang; Hua-Wei Liu; Zhuo Zhang; Ji-Ying Chen; Yong-Gang Zhou; Yan Wang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2015-07-31

10.  Subtypes of HPV-Positive Head and Neck Cancers Are Associated with HPV Characteristics, Copy Number Alterations, PIK3CA Mutation, and Pathway Signatures.

Authors:  Yanxiao Zhang; Lada A Koneva; Shama Virani; Anna E Arthur; Alisha Virani; Pelle B Hall; Charles D Warden; Thomas E Carey; Douglas B Chepeha; Mark E Prince; Jonathan B McHugh; Gregory T Wolf; Laura S Rozek; Maureen A Sartor
Journal:  Clin Cancer Res       Date:  2016-04-18       Impact factor: 12.531

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.