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Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm

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Advanced Intelligent Computing Theories and Applications (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

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Abstract

Colorectal cancer (CRC) is one of the most common malignancies that could threaten human health. As the molecular mechanism of CRC has not yet been completely uncovered, identifying related genes of this disease is an important area of CRC research that could provide new insights into gene function as well as potential targets for CRC treatment. Here we used a subnetwork extraction algorithm (Limited K-walks algorithm) to discover CRC related genes based on protein-protein interaction network. In particular, we computationally predicted two genes (UBC and SMAD4) as putative key genes of CRC. Therapy targeting on the functions of these two key genes may provide a promising therapeutic strategy for CRC treatment.

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Acknowledgments

This work was supported by National Natural Science Foundation of China (31301101 and 61272339), the Anhui Provincial Natural Science Foundation (1408085QF106), the Specialized Research Fund for the Doctoral Program of Higher Education (20133401120011), and the Technology Foundation for Selected Overseas Chinese Scholars from Department of Human Resources and Social Security of Anhui Province (No. [2014]-243).

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Authors and Affiliations

  1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, and Institute of Health Sciences, School of Computer Science and Technology, Anhui University, Hefei, 230039, Anhui, China

    Ran Wei, Yanjun Wang & Junfeng Xia

  2. College of Electrical Engineering and Automation, Anhui University, Hefei, 230601, Anhui, China

    Hai-Tao Li & Chun-Hou Zheng

Authors
  1. Ran Wei
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  2. Hai-Tao Li
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  3. Yanjun Wang
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  4. Chun-Hou Zheng
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  5. Junfeng Xia
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Corresponding author

Correspondence to Junfeng Xia .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

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Wei, R., Li, HT., Wang, Y., Zheng, CH., Xia, J. (2015). Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_74

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  • DOI: https://doi.org/10.1007/978-3-319-22053-6_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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