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Article Open Access

Profiling of prognostic alternative splicing in melanoma

  • Authors:
    • Fu‑Chao Ma
    • Rong‑Quan He
    • Peng Lin
    • Jin‑Cai Zhong
    • Jie Ma
    • Hong Yang
    • Xiao‑Hua Hu
    • Gang Chen
  • View Affiliations / Copyright

    Affiliations: Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China, Ultrasonics Division of Radiology Department, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China, Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China
    Copyright: © Ma et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1081-1088
    |
    Published online on: June 7, 2019
       https://doi.org/10.3892/ol.2019.10453
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Abstract

Alternative splicing can lead to the coding of proteins that act as promoters of cancer, which is associated with the progression of cancer. However, to the best of our knowledge, no systematic survival analysis of alternative splicing in melanoma has previously been reported. The present study conducted an in‑depth analysis of integrated alternative splicing events detected in 96 patients with melanoma using data obtained from The Cancer Genome Atlas. Prognostic models and an alternative splicing correlation network were built for patients with melanoma. A total of 41,446 mRNA splicing events were detected in 9,780 genes and 2,348 alternative splicing events were identified to be significantly associated with overall survival of patients with melanoma. Of all the events used in the prognostic model, the model with alternate terminator alternative splicing events exhibited the highest efficiency for evaluating the outcome of patients with melanoma, with an area under the curve of 0.902. The present study identified prognostic predictors for melanoma and revealed alternative splicing networks in melanoma that could indicate underlying mechanisms.
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Copy and paste a formatted citation
Spandidos Publications style
Ma FC, He RQ, Lin P, Zhong JC, Ma J, Yang H, Hu XH and Chen G: Profiling of prognostic alternative splicing in melanoma. Oncol Lett 18: 1081-1088, 2019.
APA
Ma, F., He, R., Lin, P., Zhong, J., Ma, J., Yang, H. ... Chen, G. (2019). Profiling of prognostic alternative splicing in melanoma. Oncology Letters, 18, 1081-1088. https://doi.org/10.3892/ol.2019.10453
MLA
Ma, F., He, R., Lin, P., Zhong, J., Ma, J., Yang, H., Hu, X., Chen, G."Profiling of prognostic alternative splicing in melanoma". Oncology Letters 18.2 (2019): 1081-1088.
Chicago
Ma, F., He, R., Lin, P., Zhong, J., Ma, J., Yang, H., Hu, X., Chen, G."Profiling of prognostic alternative splicing in melanoma". Oncology Letters 18, no. 2 (2019): 1081-1088. https://doi.org/10.3892/ol.2019.10453
Copy and paste a formatted citation
x
Spandidos Publications style
Ma FC, He RQ, Lin P, Zhong JC, Ma J, Yang H, Hu XH and Chen G: Profiling of prognostic alternative splicing in melanoma. Oncol Lett 18: 1081-1088, 2019.
APA
Ma, F., He, R., Lin, P., Zhong, J., Ma, J., Yang, H. ... Chen, G. (2019). Profiling of prognostic alternative splicing in melanoma. Oncology Letters, 18, 1081-1088. https://doi.org/10.3892/ol.2019.10453
MLA
Ma, F., He, R., Lin, P., Zhong, J., Ma, J., Yang, H., Hu, X., Chen, G."Profiling of prognostic alternative splicing in melanoma". Oncology Letters 18.2 (2019): 1081-1088.
Chicago
Ma, F., He, R., Lin, P., Zhong, J., Ma, J., Yang, H., Hu, X., Chen, G."Profiling of prognostic alternative splicing in melanoma". Oncology Letters 18, no. 2 (2019): 1081-1088. https://doi.org/10.3892/ol.2019.10453
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