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Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer

  • Authors:
    • Junxiu Sheng
    • Jinyao Zhao
    • Qiuhong Xu
    • Linlin Wang
    • Wenjing Zhang
    • Yang Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China, Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
    Copyright: © Sheng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 5393-5399
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    Published online on: September 6, 2017
       https://doi.org/10.3892/ol.2017.6900
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Abstract

Colorectal cancer is the third most common type of cancer and the fourth leading cause of cancer‑associated mortality worldwide. Serine/arginine‑rich splicing factor 1 (SRSF1) is a well‑characterized oncogenic factor that promotes tumorigenesis by controlling a number of alternative splicing events. However, there is limited network analysis, from a global aspect, to study the effect of SRSF1 on colorectal cancer. In the present study, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of available gene regulation data from The Cancer Genome Atlas database revealed the enriched functions and signaling pathways of SRSF1. Subsequently, Oncomine analysis was performed, which demonstrated that SRSF1 was upregulated in a number of types of colon cancer. From overlapping the analysis of 2,678 SRSF1‑related genes and 3,625 colorectal cancer genes in GeneCards, 468 genes were identified as SRSF1‑related colorectal cancer genes. The GO results revealed that these overlapped genes were primarily enriched in metabolic processes, response to DNA damage, regulation of the cell cycle and a number of additional biological processes. KEGG pathway analysis revealed that SRSF1‑related colorectal cancer genes were associated with the cell cycle, deregulated signaling pathways associated with cancer progression and colorectal cancer signaling pathways. In addition, the Search Tool for the Retrieval of Interacting Genes/Proteins database and Cytoscape analysis demonstrated that 468 SRSF1‑related colorectal cancer genes exhibit potential interaction networks in which these genes were enriched in DNA metabolic processes, cell cycle regulation and regulation of apoptosis. The results of the present study suggested that SRSF1 exhibited an increased degree of interaction with key molecules, including NUF2 NDC80 kinetochore complex component, kinesin family member 2C, structural maintenance of chromosomes 3, ATM serine/threonine kinase, BRCA1 DNA repair associated, protein kinase DNA‑activated catalytic polypeptide, heat shock protein 90 alpha family class A member 1, ras homolog family member A, and phosphatase and tensin homolog. Collectively, the bioinformatics analysis of the present study indicated that SRSF1 may have key functions in the progression and development of colorectal cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Sheng J, Zhao J, Xu Q, Wang L, Zhang W and Zhang Y: Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer. Oncol Lett 14: 5393-5399, 2017.
APA
Sheng, J., Zhao, J., Xu, Q., Wang, L., Zhang, W., & Zhang, Y. (2017). Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer. Oncology Letters, 14, 5393-5399. https://doi.org/10.3892/ol.2017.6900
MLA
Sheng, J., Zhao, J., Xu, Q., Wang, L., Zhang, W., Zhang, Y."Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer". Oncology Letters 14.5 (2017): 5393-5399.
Chicago
Sheng, J., Zhao, J., Xu, Q., Wang, L., Zhang, W., Zhang, Y."Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer". Oncology Letters 14, no. 5 (2017): 5393-5399. https://doi.org/10.3892/ol.2017.6900
Copy and paste a formatted citation
x
Spandidos Publications style
Sheng J, Zhao J, Xu Q, Wang L, Zhang W and Zhang Y: Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer. Oncol Lett 14: 5393-5399, 2017.
APA
Sheng, J., Zhao, J., Xu, Q., Wang, L., Zhang, W., & Zhang, Y. (2017). Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer. Oncology Letters, 14, 5393-5399. https://doi.org/10.3892/ol.2017.6900
MLA
Sheng, J., Zhao, J., Xu, Q., Wang, L., Zhang, W., Zhang, Y."Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer". Oncology Letters 14.5 (2017): 5393-5399.
Chicago
Sheng, J., Zhao, J., Xu, Q., Wang, L., Zhang, W., Zhang, Y."Bioinformatics analysis of SRSF1‑controlled gene networks in colorectal cancer". Oncology Letters 14, no. 5 (2017): 5393-5399. https://doi.org/10.3892/ol.2017.6900
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