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Alternative splicing events are prognostic in hepatocellular carcinoma

Alternative splicing events (ASEs) play a role in cancer development and progression. We investigated whether ASEs are prognostic for overall survival (OS) in hepatocellular carcinoma (HCC). RNA sequencing data was obtained for 343 patients included in The Cancer Genome Atlas. Matched splicing event...

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Autores principales: Chen, Qi-Feng, Li, Wang, Wu, Peihong, Shen, Lujun, Huang, Zi-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660027/
https://www.ncbi.nlm.nih.gov/pubmed/31301224
http://dx.doi.org/10.18632/aging.102085
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author Chen, Qi-Feng
Li, Wang
Wu, Peihong
Shen, Lujun
Huang, Zi-Lin
author_facet Chen, Qi-Feng
Li, Wang
Wu, Peihong
Shen, Lujun
Huang, Zi-Lin
author_sort Chen, Qi-Feng
collection PubMed
description Alternative splicing events (ASEs) play a role in cancer development and progression. We investigated whether ASEs are prognostic for overall survival (OS) in hepatocellular carcinoma (HCC). RNA sequencing data was obtained for 343 patients included in The Cancer Genome Atlas. Matched splicing event data for these patients was then obtained from the TCGASpliceSeq database, which includes data for seven types of ASEs. Univariate and multivariate Cox regression analysis demonstrated that 3,814 OS-associated splicing events (OS-SEs) were correlated with OS. Prognostic indices were developed based on the most significant OS-SEs. The prognostic index based on all seven types of ASEs (PI-ALL) demonstrated superior efficacy in predicting OS of HCC patients at 2,000 days compared to those based on single ASE types. Patients were stratified into two risk groups (high and low) based on the median prognostic index. Kaplan-Meier survival analysis demonstrated that PI-ALL had the greatest capacity to distinguish between patients with favorable vs. poor outcomes. Finally, univariate Cox regression analysis demonstrated that the expression of 23 splicing factors was correlated with OS-SEs in the HCC cohort. Our data indicate that a prognostic index based on ASEs is prognostic for OS in HCC.
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spelling pubmed-66600272019-08-05 Alternative splicing events are prognostic in hepatocellular carcinoma Chen, Qi-Feng Li, Wang Wu, Peihong Shen, Lujun Huang, Zi-Lin Aging (Albany NY) Research Paper Alternative splicing events (ASEs) play a role in cancer development and progression. We investigated whether ASEs are prognostic for overall survival (OS) in hepatocellular carcinoma (HCC). RNA sequencing data was obtained for 343 patients included in The Cancer Genome Atlas. Matched splicing event data for these patients was then obtained from the TCGASpliceSeq database, which includes data for seven types of ASEs. Univariate and multivariate Cox regression analysis demonstrated that 3,814 OS-associated splicing events (OS-SEs) were correlated with OS. Prognostic indices were developed based on the most significant OS-SEs. The prognostic index based on all seven types of ASEs (PI-ALL) demonstrated superior efficacy in predicting OS of HCC patients at 2,000 days compared to those based on single ASE types. Patients were stratified into two risk groups (high and low) based on the median prognostic index. Kaplan-Meier survival analysis demonstrated that PI-ALL had the greatest capacity to distinguish between patients with favorable vs. poor outcomes. Finally, univariate Cox regression analysis demonstrated that the expression of 23 splicing factors was correlated with OS-SEs in the HCC cohort. Our data indicate that a prognostic index based on ASEs is prognostic for OS in HCC. Impact Journals 2019-07-13 /pmc/articles/PMC6660027/ /pubmed/31301224 http://dx.doi.org/10.18632/aging.102085 Text en Copyright © 2019 Chen et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Chen, Qi-Feng
Li, Wang
Wu, Peihong
Shen, Lujun
Huang, Zi-Lin
Alternative splicing events are prognostic in hepatocellular carcinoma
title Alternative splicing events are prognostic in hepatocellular carcinoma
title_full Alternative splicing events are prognostic in hepatocellular carcinoma
title_fullStr Alternative splicing events are prognostic in hepatocellular carcinoma
title_full_unstemmed Alternative splicing events are prognostic in hepatocellular carcinoma
title_short Alternative splicing events are prognostic in hepatocellular carcinoma
title_sort alternative splicing events are prognostic in hepatocellular carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660027/
https://www.ncbi.nlm.nih.gov/pubmed/31301224
http://dx.doi.org/10.18632/aging.102085
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