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Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing

BACKGROUND: Lung cancer is the most common cause of cancer related death. Alterations in gene sequence, structure, and expression have an important role in the pathogenesis of lung cancer. Fusion genes and alternative splicing of cancer-related genes have the potential to be oncogenic. In the curren...

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Autores principales: Hong, Yoonki, Kim, Woo Jin, Bang, Chi Young, Lee, Jae Cheol, Oh, Yeon-Mok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Tuberculosis and Respiratory Diseases 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823188/
https://www.ncbi.nlm.nih.gov/pubmed/27066085
http://dx.doi.org/10.4046/trd.2016.79.2.85
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author Hong, Yoonki
Kim, Woo Jin
Bang, Chi Young
Lee, Jae Cheol
Oh, Yeon-Mok
author_facet Hong, Yoonki
Kim, Woo Jin
Bang, Chi Young
Lee, Jae Cheol
Oh, Yeon-Mok
author_sort Hong, Yoonki
collection PubMed
description BACKGROUND: Lung cancer is the most common cause of cancer related death. Alterations in gene sequence, structure, and expression have an important role in the pathogenesis of lung cancer. Fusion genes and alternative splicing of cancer-related genes have the potential to be oncogenic. In the current study, we performed RNA-sequencing (RNA-seq) to investigate potential fusion genes and alternative splicing in non-small cell lung cancer. METHODS: RNA was isolated from lung tissues obtained from 86 subjects with lung cancer. The RNA samples from lung cancer and normal tissues were processed with RNA-seq using the HiSeq 2000 system. Fusion genes were evaluated using Defuse and ChimeraScan. Candidate fusion transcripts were validated by Sanger sequencing. Alternative splicing was analyzed using multivariate analysis of transcript sequencing and validated using quantitative real time polymerase chain reaction. RESULTS: RNA-seq data identified oncogenic fusion genes EML4-ALK and SLC34A2-ROS1 in three of 86 normal-cancer paired samples. Nine distinct fusion transcripts were selected using DeFuse and ChimeraScan; of which, four fusion transcripts were validated by Sanger sequencing. In 33 squamous cell carcinoma, 29 tumor specific skipped exon events and six mutually exclusive exon events were identified. ITGB4 and PYCR1 were top genes that showed significant tumor specific splice variants. CONCLUSION: In conclusion, RNA-seq data identified novel potential fusion transcripts and splice variants. Further evaluation of their functional significance in the pathogenesis of lung cancer is required.
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spelling pubmed-48231882016-04-10 Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing Hong, Yoonki Kim, Woo Jin Bang, Chi Young Lee, Jae Cheol Oh, Yeon-Mok Tuberc Respir Dis (Seoul) Original Article BACKGROUND: Lung cancer is the most common cause of cancer related death. Alterations in gene sequence, structure, and expression have an important role in the pathogenesis of lung cancer. Fusion genes and alternative splicing of cancer-related genes have the potential to be oncogenic. In the current study, we performed RNA-sequencing (RNA-seq) to investigate potential fusion genes and alternative splicing in non-small cell lung cancer. METHODS: RNA was isolated from lung tissues obtained from 86 subjects with lung cancer. The RNA samples from lung cancer and normal tissues were processed with RNA-seq using the HiSeq 2000 system. Fusion genes were evaluated using Defuse and ChimeraScan. Candidate fusion transcripts were validated by Sanger sequencing. Alternative splicing was analyzed using multivariate analysis of transcript sequencing and validated using quantitative real time polymerase chain reaction. RESULTS: RNA-seq data identified oncogenic fusion genes EML4-ALK and SLC34A2-ROS1 in three of 86 normal-cancer paired samples. Nine distinct fusion transcripts were selected using DeFuse and ChimeraScan; of which, four fusion transcripts were validated by Sanger sequencing. In 33 squamous cell carcinoma, 29 tumor specific skipped exon events and six mutually exclusive exon events were identified. ITGB4 and PYCR1 were top genes that showed significant tumor specific splice variants. CONCLUSION: In conclusion, RNA-seq data identified novel potential fusion transcripts and splice variants. Further evaluation of their functional significance in the pathogenesis of lung cancer is required. The Korean Academy of Tuberculosis and Respiratory Diseases 2016-04 2016-03-31 /pmc/articles/PMC4823188/ /pubmed/27066085 http://dx.doi.org/10.4046/trd.2016.79.2.85 Text en Copyright©2016. The Korean Academy of Tuberculosis and Respiratory Diseases. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Original Article
Hong, Yoonki
Kim, Woo Jin
Bang, Chi Young
Lee, Jae Cheol
Oh, Yeon-Mok
Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing
title Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing
title_full Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing
title_fullStr Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing
title_full_unstemmed Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing
title_short Identification of Alternative Splicing and Fusion Transcripts in Non-Small Cell Lung Cancer by RNA Sequencing
title_sort identification of alternative splicing and fusion transcripts in non-small cell lung cancer by rna sequencing
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823188/
https://www.ncbi.nlm.nih.gov/pubmed/27066085
http://dx.doi.org/10.4046/trd.2016.79.2.85
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