Cargando…

Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer

BACKGROUND: Alternative splicing (AS) is an important mechanism of regulating eukaryotic gene expression. Understanding the most common AS events in colorectal cancer (CRC) will help developing diagnostic, prognostic or therapeutic tools in CRC. METHODS: Publicly available RNA-seq data of 28 pairs o...

Descripción completa

Detalles Bibliográficos
Autores principales: Lian, Haifeng, Wang, Aili, Shen, Yuanyuan, Wang, Qian, Zhou, Zhenru, Zhang, Ranran, Li, Kun, Liu, Chengxia, Jia, Hongtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275609/
https://www.ncbi.nlm.nih.gov/pubmed/32503434
http://dx.doi.org/10.1186/s12876-020-01288-x
_version_ 1783542821482921984
author Lian, Haifeng
Wang, Aili
Shen, Yuanyuan
Wang, Qian
Zhou, Zhenru
Zhang, Ranran
Li, Kun
Liu, Chengxia
Jia, Hongtao
author_facet Lian, Haifeng
Wang, Aili
Shen, Yuanyuan
Wang, Qian
Zhou, Zhenru
Zhang, Ranran
Li, Kun
Liu, Chengxia
Jia, Hongtao
author_sort Lian, Haifeng
collection PubMed
description BACKGROUND: Alternative splicing (AS) is an important mechanism of regulating eukaryotic gene expression. Understanding the most common AS events in colorectal cancer (CRC) will help developing diagnostic, prognostic or therapeutic tools in CRC. METHODS: Publicly available RNA-seq data of 28 pairs of CRC and normal tissues and 18 pairs of metastatic and normal tissues were used to identify AS events using PSI and DEXSeq methods. RESULT: The highly significant splicing events were used to search a database of The Cancer Genome Atlas (TCGA). We identified AS events in 9 genes in CRC (more inclusion of CLK1-E4, COL6A3-E6, CD44v8–10, alternative first exon regulation of ARHGEF9, CHEK1, HKDC1 and HNF4A) or metastasis (decrease of SERPINA1-E1a, CALD-E5b, E6). Except for CHEK1, all other 8 splicing events were confirmed by TCGA data with 382 CRC tumors and 51 normal controls. The combination of three splicing events was used to build a logistic regression model that can predict sample type (CRC or normal) with near perfect performance (AUC = 1). Two splicing events (COL6A3 and HKDC1) were found to be significantly associated with patient overall survival. The AS features of the 9 genes are highly consistent with previous reports and/or relevant to cancer biology. CONCLUSIONS: The significant association of higher expression of the COL6A3 E5-E6 junction and HKDC1 E1-E2 with better overall survival was firstly reported. This study might be of significant value in the future biomarker, prognosis marker and therapeutics development of CRC.
format Online
Article
Text
id pubmed-7275609
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-72756092020-06-08 Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer Lian, Haifeng Wang, Aili Shen, Yuanyuan Wang, Qian Zhou, Zhenru Zhang, Ranran Li, Kun Liu, Chengxia Jia, Hongtao BMC Gastroenterol Research Article BACKGROUND: Alternative splicing (AS) is an important mechanism of regulating eukaryotic gene expression. Understanding the most common AS events in colorectal cancer (CRC) will help developing diagnostic, prognostic or therapeutic tools in CRC. METHODS: Publicly available RNA-seq data of 28 pairs of CRC and normal tissues and 18 pairs of metastatic and normal tissues were used to identify AS events using PSI and DEXSeq methods. RESULT: The highly significant splicing events were used to search a database of The Cancer Genome Atlas (TCGA). We identified AS events in 9 genes in CRC (more inclusion of CLK1-E4, COL6A3-E6, CD44v8–10, alternative first exon regulation of ARHGEF9, CHEK1, HKDC1 and HNF4A) or metastasis (decrease of SERPINA1-E1a, CALD-E5b, E6). Except for CHEK1, all other 8 splicing events were confirmed by TCGA data with 382 CRC tumors and 51 normal controls. The combination of three splicing events was used to build a logistic regression model that can predict sample type (CRC or normal) with near perfect performance (AUC = 1). Two splicing events (COL6A3 and HKDC1) were found to be significantly associated with patient overall survival. The AS features of the 9 genes are highly consistent with previous reports and/or relevant to cancer biology. CONCLUSIONS: The significant association of higher expression of the COL6A3 E5-E6 junction and HKDC1 E1-E2 with better overall survival was firstly reported. This study might be of significant value in the future biomarker, prognosis marker and therapeutics development of CRC. BioMed Central 2020-06-05 /pmc/articles/PMC7275609/ /pubmed/32503434 http://dx.doi.org/10.1186/s12876-020-01288-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
Lian, Haifeng
Wang, Aili
Shen, Yuanyuan
Wang, Qian
Zhou, Zhenru
Zhang, Ranran
Li, Kun
Liu, Chengxia
Jia, Hongtao
Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
title Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
title_full Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
title_fullStr Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
title_full_unstemmed Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
title_short Identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
title_sort identification of novel alternative splicing isoform biomarkers and their association with overall survival in colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275609/
https://www.ncbi.nlm.nih.gov/pubmed/32503434
http://dx.doi.org/10.1186/s12876-020-01288-x
work_keys_str_mv AT lianhaifeng identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT wangaili identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT shenyuanyuan identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT wangqian identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT zhouzhenru identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT zhangranran identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT likun identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT liuchengxia identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer
AT jiahongtao identificationofnovelalternativesplicingisoformbiomarkersandtheirassociationwithoverallsurvivalincolorectalcancer