Identification of osteosarcoma driver genes using a network method

Si  ,Zebing; Hu,Konghe

doi:10.3892/ol.2019.11212

Identification of osteosarcoma driver genes using a network method

Authors:
- Zebing Si
- Konghe Hu
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Affiliations: Department of Orthopedics, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Wujiang, Shaoguan 512026, P.R. China
Published online on: December 12, 2019 https://doi.org/10.3892/ol.2019.11212
Pages: 1215-1222
Copyright: © Si et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Osteosarcoma (OS) is a severe disease that is generally caused by genetic alterations. Systematic identification of driver genes may be used to increase the understanding of the mechanisms underlying the disease. The present study identified a framework to predict driver genes, with the hypothesis that driver genes operate through a number of connected functional genes. OS‑related genes were extracted from the Catalogue Of Somatic Mutations In Cancer and subsequently ranked by virtue of their effect on a set of functional genes using a network‑based algorithm. This revealed the driver genes associated with dysregulated networks. In addition, compared with the Mutations For Functional Impact on Network Neighbors algorithm, the results obtained using the aforementioned network‑based algorithm revealed that the proposed method is effective. Gene functional analysis demonstrated that the potential OS driver genes were involved in OS‑associated pathways. Through the validation of the 15 candidate OS driver genes, the classifier constructed in the present study revealed that the identified driver genes were able to distinguish 184 cancer samples from controls. Therefore, the present study provided insights into the identification of driver genes from a vast amount of sequencing data.

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