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Fuzzy Clustering Analysis of Osteosarcoma Related Genes

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Pathology & Oncology Research

Abstract

Osteosarcoma is the most common malignant bone-tumor with a peak manifestation during the second and third decade of life. In order to explore the influence of genetic factors on the mechanism of osteosarcoma by analyzing the inter relationship between osteosarcoma and its related genes, and then provide potential genetic references for the prevention, diagnosis and treatment of osteosarcoma, we collected osteosarcoma related gene sequences in Genebank of National Center for Biotechnology Information (NCBI) and local alignment analysis for a pair of sequences was carried out to identify the measurement association among related sequences. Then fuzzy clustering method was used for clustering analysis so as to contact the unknown genes through the consistent osteosarcoma related genes in one class. From the result of fuzzy clustering analysis, we could classify the osteosarcoma related genes into two groups and deduced that the genes clustered into one group had similar function. Based on this knowledge, we found more genes related to the pathogenesis of osteosarcoma and these genes could exert similar function as Runx2, a risk factor confirmed in osteosarcoma, this study may help better understand the genetic mechanism and provide new molecular markers and therapies for osteosarcoma.

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The authors declare that there are no any conflicts of interest.

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Authors and Affiliations

  1. Department of Orthopedics, Changhai Hospital, Shanghai, 200433, China

    Kai Chen, Dajiang Wu, Yushu Bai, Xiaodong Zhu, Ziqiang Chen, Chuanfeng Wang, Yingchuan Zhao & Ming Li

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  1. Kai Chen
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  2. Dajiang Wu
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  3. Yushu Bai
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  4. Xiaodong Zhu
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  5. Ziqiang Chen
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  6. Chuanfeng Wang
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  7. Yingchuan Zhao
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  8. Ming Li
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Corresponding author

Correspondence to Ming Li.

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Kai Chen and Dajiang Wu contributed equally to this work.

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Chen, K., Wu, D., Bai, Y. et al. Fuzzy Clustering Analysis of Osteosarcoma Related Genes. Pathol. Oncol. Res. 20, 535–539 (2014). https://doi.org/10.1007/s12253-013-9725-y

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  • DOI: https://doi.org/10.1007/s12253-013-9725-y

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