Literature DB >> 20118010

[Functional prediction of KIAA0101 gene in human non-small cell lung cancer].

Hua Li1, Wen-li Ma, Chang-qing Zuo, Shuang Liang, Yun Ye, Wen-ling Zheng.   

Abstract

OBJECTIVE: To predict the function of KIAA0101 gene over-expressed in human non-small cell lung cancer by bioinformatics methods.
METHODS: The gene expression profiles of the lung cancer tissues and the adjacent normal tissues were compared by dChip software analysis, and the differential genes coexpressed with KIAA0101 gene were identified. The biological functions of these genes were analyzed using the Database for Annotation, Visualization and Integrated Discovery (DAVID), Gene Ontology (GO) and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and the common transcription factors of these genes were predicted using Gene Annotation Tool to Help Explain Relationships (GATHER).
RESULTS: Nine genes were found to have at least two-fold overexpressions in the lung cancer tissues in comparison with the expression level in the adjacent normal tissues, and showed similar pattern of expression variations in the lung cancer tissue. Most of these genes had the E2F1 binding sites in the promoter region.
CONCLUSION: KIAA0101 gene may participate in the cell cycle regulation of the non-small cell lung cancer, and the expression levels of the 9 genes identified may be regulated by the transcription factor E2F1.

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Year:  2010        PMID: 20118010

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  2 in total

1.  Identification of key genes in non-small cell lung cancer by bioinformatics analysis.

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Journal:  PeerJ       Date:  2019-12-12       Impact factor: 2.984

2.  Identifying and Validating Potential Biomarkers of Early Stage Lung Adenocarcinoma Diagnosis and Prognosis.

Authors:  Yingji Chen; Longyu Jin; Zhibin Jiang; Suo Liu; Wei Feng
Journal:  Front Oncol       Date:  2021-04-16       Impact factor: 6.244

  2 in total

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