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Characterizing biomarkers in osteosarcoma metastasis based on an ego-network

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Abstract

Objectives

To characterize biomarkers that underlie osteosarcoma (OS) metastasis based on an ego-network.

Results

From the microarray data, we obtained 13,326 genes. By combining PPI data and microarray data, 10,520 shared genes were found and constructed into ego-networks. 17 significant ego-networks were identified with p < 0.05. In the pathway enrichment analysis, seven ego-networks were identified with the most significant pathway.

Conclusions

These significant ego-modules were potential biomarkers that reveal the potential mechanisms in OS metastasis, which may contribute to understanding cancer prognoses and providing new perspectives in the treatment of cancer.

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Authors and Affiliations

  1. Department of Orthopaedics, Heze Municipal Hospital, Caozhou Road, Heze, 274031, Shandong, People’s Republic of China

    Zhen Liu & Yan Song

Authors
  1. Zhen Liu
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  2. Yan Song
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Correspondence to Yan Song.

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Liu, Z., Song, Y. Characterizing biomarkers in osteosarcoma metastasis based on an ego-network. Biotechnol Lett 39, 841–848 (2017). https://doi.org/10.1007/s10529-017-2305-6

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  • DOI: https://doi.org/10.1007/s10529-017-2305-6

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