Your browser doesn't support javascript.
loading
Profiling of prognostic alternative splicing in melanoma.
Ma, Fu-Chao; He, Rong-Quan; Lin, Peng; Zhong, Jin-Cai; Ma, Jie; Yang, Hong; Hu, Xiao-Hua; Chen, Gang.
Afiliação
  • Ma FC; Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • He RQ; Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Lin P; Ultrasonics Division of Radiology Department, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Zhong JC; Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Ma J; Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Yang H; Ultrasonics Division of Radiology Department, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Hu XH; Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Chen G; Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Oncol Lett ; 18(2): 1081-1088, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31423168
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article