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Article Open Access

A novel method to identify differential pathways in uterine leiomyomata based on network strategy

  • Authors:
    • Hui‑Ling Wang
    • Jing Liu
    • Zhao‑Min Qin
  • View Affiliations / Copyright

    Affiliations: First Gynecological Ward, Binzhou People's Hospital, Binzhou, Shandong 256610, P.R. China, Department of Health Checkup, Binzhou People's Hospital, Binzhou, Shandong 256610, P.R. China, Department of Nursing, Shandong Medical College, Jinan, Shandong 250002, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 5765-5772
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    Published online on: September 14, 2017
       https://doi.org/10.3892/ol.2017.6928
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Abstract

The aim of the present study was to identify differential pathways in uterine leiomyomata (UL) using a novel method based on protein‑protein interaction networks and pathway analysis. The pathway networks were constructed by examining the intersections of the Reactome database and the Search Tool for the Retrieval of Interacting Genes/proteins (STRING) protein‑protein interaction (PPI) networks. The Objective network was defined as the differential expressed genes (DEGs) associated with the interactions identified by STRING. Topological centrality (degree) analysis was performed for the Objective network to explore the hub genes and hub networks. Subsequent to isolating the intersections between the Pathway and Objective networks, randomization tests were conducted to identify the differential pathways. There were 559,598 interactions in the Pathway networks. A total of 657 genes with 3,835 interactions were mapped in the Objective network, which included 20 hub genes. It was identified that 358 pathways demonstrated interaction with the Objective network, such as Signal Transduction, Immune System and Signaling by G‑protein‑coupled receptor (GPCR). By accessing the randomization tests, P‑values of these pathways were close to 0, which indicated that they were significantly different. The present study successfully identified differential pathways (such as signal transduction, immune system and signaling by GPCR) in UL, which may be potential biomarkers in the detection and treatment of UL.
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Copy and paste a formatted citation
Spandidos Publications style
Wang HL, Liu J and Qin ZM: A novel method to identify differential pathways in uterine leiomyomata based on network strategy. Oncol Lett 14: 5765-5772, 2017.
APA
Wang, H., Liu, J., & Qin, Z. (2017). A novel method to identify differential pathways in uterine leiomyomata based on network strategy. Oncology Letters, 14, 5765-5772. https://doi.org/10.3892/ol.2017.6928
MLA
Wang, H., Liu, J., Qin, Z."A novel method to identify differential pathways in uterine leiomyomata based on network strategy". Oncology Letters 14.5 (2017): 5765-5772.
Chicago
Wang, H., Liu, J., Qin, Z."A novel method to identify differential pathways in uterine leiomyomata based on network strategy". Oncology Letters 14, no. 5 (2017): 5765-5772. https://doi.org/10.3892/ol.2017.6928
Copy and paste a formatted citation
x
Spandidos Publications style
Wang HL, Liu J and Qin ZM: A novel method to identify differential pathways in uterine leiomyomata based on network strategy. Oncol Lett 14: 5765-5772, 2017.
APA
Wang, H., Liu, J., & Qin, Z. (2017). A novel method to identify differential pathways in uterine leiomyomata based on network strategy. Oncology Letters, 14, 5765-5772. https://doi.org/10.3892/ol.2017.6928
MLA
Wang, H., Liu, J., Qin, Z."A novel method to identify differential pathways in uterine leiomyomata based on network strategy". Oncology Letters 14.5 (2017): 5765-5772.
Chicago
Wang, H., Liu, J., Qin, Z."A novel method to identify differential pathways in uterine leiomyomata based on network strategy". Oncology Letters 14, no. 5 (2017): 5765-5772. https://doi.org/10.3892/ol.2017.6928
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