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Profiling of prognostic alternative splicing in melanoma

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 cond...

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Autores principales: Ma, Fu-Chao, He, Rong-Quan, Lin, Peng, Zhong, Jin-Cai, Ma, Jie, Yang, Hong, Hu, Xiao-Hua, Chen, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607279/
https://www.ncbi.nlm.nih.gov/pubmed/31423168
http://dx.doi.org/10.3892/ol.2019.10453
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author Ma, Fu-Chao
He, Rong-Quan
Lin, Peng
Zhong, Jin-Cai
Ma, Jie
Yang, Hong
Hu, Xiao-Hua
Chen, Gang
author_facet Ma, Fu-Chao
He, Rong-Quan
Lin, Peng
Zhong, Jin-Cai
Ma, Jie
Yang, Hong
Hu, Xiao-Hua
Chen, Gang
author_sort Ma, Fu-Chao
collection PubMed
description 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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spelling pubmed-66072792019-08-18 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 Oncol Lett Articles 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. D.A. Spandidos 2019-08 2019-06-07 /pmc/articles/PMC6607279/ /pubmed/31423168 http://dx.doi.org/10.3892/ol.2019.10453 Text en Copyright: © Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Ma, Fu-Chao
He, Rong-Quan
Lin, Peng
Zhong, Jin-Cai
Ma, Jie
Yang, Hong
Hu, Xiao-Hua
Chen, Gang
Profiling of prognostic alternative splicing in melanoma
title Profiling of prognostic alternative splicing in melanoma
title_full Profiling of prognostic alternative splicing in melanoma
title_fullStr Profiling of prognostic alternative splicing in melanoma
title_full_unstemmed Profiling of prognostic alternative splicing in melanoma
title_short Profiling of prognostic alternative splicing in melanoma
title_sort profiling of prognostic alternative splicing in melanoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607279/
https://www.ncbi.nlm.nih.gov/pubmed/31423168
http://dx.doi.org/10.3892/ol.2019.10453
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