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Article Open Access

Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis

  • Authors:
    • Xianwang Wang
    • Pengli Wang
    • Lei Ge
    • Juan Wang
    • Shah Naqvi Syed Manzar Abbas
    • Shujuan Hu
  • View Affiliations / Copyright

    Affiliations: Department of Biochemistry and Molecular Biology, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China, Laboratory of Oncology, Center for Molecular Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China, Department of Pediatrics, The Second School of Clinical Medicine and Jingzhou Central Hospital, Yangtze University, Jingzhou, Hubei 434023, P.R. China, Department of Sports Medicine, School of Education and Physical Education, Yangtze University, Jingzhou, Hubei 434023, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 12
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    Published online on: July 15, 2020
       https://doi.org/10.3892/ol.2020.11873
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Abstract

Skin cutaneous melanoma (SKCM) is the most aggressive type of skin cancer, with a high rate of metastasis and mortality; however, identification of biomarkers for the treatment of SKCM is required. Cluster of differentiation (CD)38 has emerged as an effective target for therapeutic drugs in several types of cancer, such as chronic lymphocytic leukemia and multiple myeloma. In the present study, to determine the contribution of CD38 to the diagnosis of SKCM, Gene Expression Profiling Interactive Analysis 2 and University of Alabama Cancer Database online tools were used to analyze The Cancer Genome Atlas‑SKCM dataset. Moreover, Search Tool for the Retrieval of Interacting Genes/Proteins and GeneMANIA databases were used to determine protein‑protein interaction networks and potential functions. To the best of our knowledge, the results of the present study indicated for the first time that high expression levels of CD38 were a favorable diagnostic factor for SKCM. Moreover, a correlation between CD38 expression levels and the survival probability of patients with SKCM was identified. Integrative analysis predicted that nine genes were correlated with CD38 in SKCM, and the similarity of these genes in SKCM expression and a survival heatmap was verified. Gene ontology enrichment analysis using the Metascape tool revealed that CD38 and its correlated genes were significantly enriched in lymphocyte activation and T cell differentiation regulation. Collectively, the bioinformatics analysis revealed that CD38 might serve as a potential diagnostic predictor for SKCM.
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Copy and paste a formatted citation
Spandidos Publications style
Wang X, Wang P, Ge L, Wang J, Syed Manzar Abbas S and Hu S: Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis. Oncol Lett 20: 12, 2020.
APA
Wang, X., Wang, P., Ge, L., Wang, J., Syed Manzar Abbas, S., & Hu, S. (2020). Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis. Oncology Letters, 20, 12. https://doi.org/10.3892/ol.2020.11873
MLA
Wang, X., Wang, P., Ge, L., Wang, J., Syed Manzar Abbas, S., Hu, S."Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis". Oncology Letters 20.4 (2020): 12.
Chicago
Wang, X., Wang, P., Ge, L., Wang, J., Syed Manzar Abbas, S., Hu, S."Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis". Oncology Letters 20, no. 4 (2020): 12. https://doi.org/10.3892/ol.2020.11873
Copy and paste a formatted citation
x
Spandidos Publications style
Wang X, Wang P, Ge L, Wang J, Syed Manzar Abbas S and Hu S: Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis. Oncol Lett 20: 12, 2020.
APA
Wang, X., Wang, P., Ge, L., Wang, J., Syed Manzar Abbas, S., & Hu, S. (2020). Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis. Oncology Letters, 20, 12. https://doi.org/10.3892/ol.2020.11873
MLA
Wang, X., Wang, P., Ge, L., Wang, J., Syed Manzar Abbas, S., Hu, S."Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis". Oncology Letters 20.4 (2020): 12.
Chicago
Wang, X., Wang, P., Ge, L., Wang, J., Syed Manzar Abbas, S., Hu, S."Identification of CD38 as a potential biomarker in skin cutaneous melanoma using bioinformatics analysis". Oncology Letters 20, no. 4 (2020): 12. https://doi.org/10.3892/ol.2020.11873
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