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Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data
BACKGROUND: Alternative splicing (AS) offers a main mechanism to form protein polymorphism. A growing body of evidence indicates the correlation between splicing disorders and carcinoma. Nevertheless, an overall analysis of AS signatures in stomach adenocarcinoma (STAD) is absent and urgently needed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443856/ https://www.ncbi.nlm.nih.gov/pubmed/32831016 http://dx.doi.org/10.1186/s12864-020-06997-x |
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author | Zhang, Yuanyuan Ma, Shengling Niu, Qian Han, Yun Liu, Xingyu Jiang, Jie Chen, Simiao Lin, Haolong |
author_facet | Zhang, Yuanyuan Ma, Shengling Niu, Qian Han, Yun Liu, Xingyu Jiang, Jie Chen, Simiao Lin, Haolong |
author_sort | Zhang, Yuanyuan |
collection | PubMed |
description | BACKGROUND: Alternative splicing (AS) offers a main mechanism to form protein polymorphism. A growing body of evidence indicates the correlation between splicing disorders and carcinoma. Nevertheless, an overall analysis of AS signatures in stomach adenocarcinoma (STAD) is absent and urgently needed. RESULTS: 2042 splicing events were confirmed as prognostic molecular events. Furthermore, the final prognostic signature constructed by 10 AS events gave good result with an area under the curve (AUC) of receiver operating characteristic (ROC) curve up to 0.902 for 5 years, showing high potency in predicting patient outcome. We built the splicing regulatory network to show the internal regulation mechanism of splicing events in STAD. QKI may play a significant part in the prognosis induced by splicing events. CONCLUSIONS: In our study, a high-efficiency prognostic prediction model was built for STAD patients, and the results showed that AS events could become potential prognostic biomarkers for STAD. Meanwhile, QKI may become an important target for drug design in the future. |
format | Online Article Text |
id | pubmed-7443856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74438562020-08-24 Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data Zhang, Yuanyuan Ma, Shengling Niu, Qian Han, Yun Liu, Xingyu Jiang, Jie Chen, Simiao Lin, Haolong BMC Genomics Research Article BACKGROUND: Alternative splicing (AS) offers a main mechanism to form protein polymorphism. A growing body of evidence indicates the correlation between splicing disorders and carcinoma. Nevertheless, an overall analysis of AS signatures in stomach adenocarcinoma (STAD) is absent and urgently needed. RESULTS: 2042 splicing events were confirmed as prognostic molecular events. Furthermore, the final prognostic signature constructed by 10 AS events gave good result with an area under the curve (AUC) of receiver operating characteristic (ROC) curve up to 0.902 for 5 years, showing high potency in predicting patient outcome. We built the splicing regulatory network to show the internal regulation mechanism of splicing events in STAD. QKI may play a significant part in the prognosis induced by splicing events. CONCLUSIONS: In our study, a high-efficiency prognostic prediction model was built for STAD patients, and the results showed that AS events could become potential prognostic biomarkers for STAD. Meanwhile, QKI may become an important target for drug design in the future. BioMed Central 2020-08-24 /pmc/articles/PMC7443856/ /pubmed/32831016 http://dx.doi.org/10.1186/s12864-020-06997-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhang, Yuanyuan Ma, Shengling Niu, Qian Han, Yun Liu, Xingyu Jiang, Jie Chen, Simiao Lin, Haolong Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
title | Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
title_full | Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
title_fullStr | Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
title_full_unstemmed | Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
title_short | Features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
title_sort | features of alternative splicing in stomach adenocarcinoma and their clinical implication: a research based on massive sequencing data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443856/ https://www.ncbi.nlm.nih.gov/pubmed/32831016 http://dx.doi.org/10.1186/s12864-020-06997-x |
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