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Article

Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer

  • Authors:
    • Fuqiang Yin
    • Xia Liu
    • Danrong Li
    • Qi Wang
    • Wei Zhang
    • Li Li
  • View Affiliations / Copyright

    Affiliations: Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China, Center for Translational Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China, Medical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
  • Pages: 1305-1316
    |
    Published online on: February 8, 2013
       https://doi.org/10.3892/ijo.2013.1819
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Abstract

Chemokine (C-C motif) ligand 21 (CCL21) and SPARC-like protein 1 (SPARCL1/MAST9/hevin/SC-1) are associated with various biological behavior in the development of cancers. Although the expression of CCL21 and SPARCL1 is downregulated in many solid tumors, their roles in ovarian cancer and their associations with drug resistance have rarely been studied. We performed a comprehensive bioinformatic analysis consisting of motif analysis, literature co-occurrence, gene/protein-gene/protein interaction network, protein-small molecule interaction network, and microRNAs enrichments which revealed that CCL21 and SPARCL1 directly or indirectly interact with a number of genes, proteins, small molecules and pathways associated with drug resistance in ovarian and other cancers. These results suggested that CCL21 and SPARCL1 may contribute to drug resistance in ovarian cancer. This study provided important information for further investigation of drug resistance-related functions of CCL21 and SPARCL1 in ovarian cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Yin F, Liu X, Li D, Wang Q, Zhang W and Li L: Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer. Int J Oncol 42: 1305-1316, 2013.
APA
Yin, F., Liu, X., Li, D., Wang, Q., Zhang, W., & Li, L. (2013). Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer. International Journal of Oncology, 42, 1305-1316. https://doi.org/10.3892/ijo.2013.1819
MLA
Yin, F., Liu, X., Li, D., Wang, Q., Zhang, W., Li, L."Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer". International Journal of Oncology 42.4 (2013): 1305-1316.
Chicago
Yin, F., Liu, X., Li, D., Wang, Q., Zhang, W., Li, L."Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer". International Journal of Oncology 42, no. 4 (2013): 1305-1316. https://doi.org/10.3892/ijo.2013.1819
Copy and paste a formatted citation
x
Spandidos Publications style
Yin F, Liu X, Li D, Wang Q, Zhang W and Li L: Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer. Int J Oncol 42: 1305-1316, 2013.
APA
Yin, F., Liu, X., Li, D., Wang, Q., Zhang, W., & Li, L. (2013). Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer. International Journal of Oncology, 42, 1305-1316. https://doi.org/10.3892/ijo.2013.1819
MLA
Yin, F., Liu, X., Li, D., Wang, Q., Zhang, W., Li, L."Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer". International Journal of Oncology 42.4 (2013): 1305-1316.
Chicago
Yin, F., Liu, X., Li, D., Wang, Q., Zhang, W., Li, L."Bioinformatic analysis of chemokine (C-C motif) ligand 21 and SPARC-like protein 1 revealing their associations with drug resistance in ovarian cancer". International Journal of Oncology 42, no. 4 (2013): 1305-1316. https://doi.org/10.3892/ijo.2013.1819
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