Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy. Identification of potential alternative splicing (AS) prognostic indicators and related splicing pathways for the prediction of PDAC outcomes is lacking but urgently needed. A combined strategy of prognostic assessment and c...

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Main Authors: Chengkun Yang, Qiongyuan Wu, Ketuan Huang, Xiangkun Wang, Tingdong Yu, Xiwen Liao, Jianlu Huang, Guangzhi Zhu, Yizhen Gong, Chuangye Han, Hao Su, Wei Qin, Tao Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.00511/full
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spelling doaj-2417bbfc25fe4a1fb9681cf741c7ecdb2020-11-25T01:15:46ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2019-06-01910.3389/fonc.2019.00511460772Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal AdenocarcinomaChengkun Yang0Qiongyuan Wu1Ketuan Huang2Xiangkun Wang3Tingdong Yu4Xiwen Liao5Jianlu Huang6Guangzhi Zhu7Yizhen Gong8Chuangye Han9Hao Su10Wei Qin11Tao Peng12Department of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Tuina, the First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Colorectal and Anal Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, ChinaPancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy. Identification of potential alternative splicing (AS) prognostic indicators and related splicing pathways for the prediction of PDAC outcomes is lacking but urgently needed. A combined strategy of prognostic assessment and computational biology was performed to investigate survival-related AS signatures and their correlation with splicing factors. The prognostic signatures of each type were conducted according to the top 10 prognosis-related AS events, which were filtered through univariate Cox regression analysis. A time-dependent receiver operating characteristic curve was constructed to access the predictive accuracy of prognostic signatures. The independent predictors were identified using multivariate Cox regression analysis. Potential regulation mechanisms between splicing factors and splicing events were investigated through regulatory networks and correlation analyses. A total of 915 overall survival (OS) and 480 recurrence-free survival (RFS)-related AS events were identified in 120 patients with PDAC. The independent prognostic signatures for each type displayed favorable accuracy for the prediction of OS and short-term RFS [area under the curves were >0.6] except for the Exclusive Exons type. The splicing regulatory networks showed potential interactions between splicing factors and AS parent genes. Moreover, a positive relationship was detected among each splicing factor and Percent Spliced In values of prognostic signatures. Our results provide a view of the landscape of prognosis-related AS events and reveal the potential correlation between splicing factors and prognostic signatures, which may represent novel outcome-predictor markers and opportunities for targeted therapy for PDAC.https://www.frontiersin.org/article/10.3389/fonc.2019.00511/fullPDACalternative splicingprognosissplicing factorcorrelation
collection DOAJ
language English
format Article
sources DOAJ
author Chengkun Yang
Qiongyuan Wu
Ketuan Huang
Xiangkun Wang
Tingdong Yu
Xiwen Liao
Jianlu Huang
Guangzhi Zhu
Yizhen Gong
Chuangye Han
Hao Su
Wei Qin
Tao Peng
spellingShingle Chengkun Yang
Qiongyuan Wu
Ketuan Huang
Xiangkun Wang
Tingdong Yu
Xiwen Liao
Jianlu Huang
Guangzhi Zhu
Yizhen Gong
Chuangye Han
Hao Su
Wei Qin
Tao Peng
Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma
Frontiers in Oncology
PDAC
alternative splicing
prognosis
splicing factor
correlation
author_facet Chengkun Yang
Qiongyuan Wu
Ketuan Huang
Xiangkun Wang
Tingdong Yu
Xiwen Liao
Jianlu Huang
Guangzhi Zhu
Yizhen Gong
Chuangye Han
Hao Su
Wei Qin
Tao Peng
author_sort Chengkun Yang
title Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma
title_short Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma
title_full Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma
title_fullStr Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma
title_full_unstemmed Genome-Wide Profiling Reveals the Landscape of Prognostic Alternative Splicing Signatures in Pancreatic Ductal Adenocarcinoma
title_sort genome-wide profiling reveals the landscape of prognostic alternative splicing signatures in pancreatic ductal adenocarcinoma
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2019-06-01
description Pancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy. Identification of potential alternative splicing (AS) prognostic indicators and related splicing pathways for the prediction of PDAC outcomes is lacking but urgently needed. A combined strategy of prognostic assessment and computational biology was performed to investigate survival-related AS signatures and their correlation with splicing factors. The prognostic signatures of each type were conducted according to the top 10 prognosis-related AS events, which were filtered through univariate Cox regression analysis. A time-dependent receiver operating characteristic curve was constructed to access the predictive accuracy of prognostic signatures. The independent predictors were identified using multivariate Cox regression analysis. Potential regulation mechanisms between splicing factors and splicing events were investigated through regulatory networks and correlation analyses. A total of 915 overall survival (OS) and 480 recurrence-free survival (RFS)-related AS events were identified in 120 patients with PDAC. The independent prognostic signatures for each type displayed favorable accuracy for the prediction of OS and short-term RFS [area under the curves were >0.6] except for the Exclusive Exons type. The splicing regulatory networks showed potential interactions between splicing factors and AS parent genes. Moreover, a positive relationship was detected among each splicing factor and Percent Spliced In values of prognostic signatures. Our results provide a view of the landscape of prognosis-related AS events and reveal the potential correlation between splicing factors and prognostic signatures, which may represent novel outcome-predictor markers and opportunities for targeted therapy for PDAC.
topic PDAC
alternative splicing
prognosis
splicing factor
correlation
url https://www.frontiersin.org/article/10.3389/fonc.2019.00511/full
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