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Updated: Jun 16, 2026
Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
Published on: October 10, 2025
[Functional prediction of KIAA0101 gene in human non-small cell lung cancer]
Hua Li1, Wen-li Ma, Chang-qing Zuo
1Institute of Genetic Engineering, Southern Medical University, Guangzhou 510515, China. li_hua@139.com
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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