Allelic imbalance of somatic mutations in cancer genomes and transcriptomes

Abstract Somatic mutations in cancer genomes often show allelic imbalance (AI) of mutation abundance between the genome and transcriptome, but there is not yet a systematic understanding of AI. In this study, we performed large-scale DNA and RNA AI analyses of >100,000 somatic mutations in >2,...

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Main Authors: Je-Keun Rhee, Sejoon Lee, Woong-Yang Park, Young-Ho Kim, Tae-Min Kim
Format: Article
Language:English
Published: Nature Publishing Group 2017-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-01966-z
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spelling doaj-d31a65fa049e4af980dc48a053f953c32020-12-08T02:17:42ZengNature Publishing GroupScientific Reports2045-23222017-05-017111010.1038/s41598-017-01966-zAllelic imbalance of somatic mutations in cancer genomes and transcriptomesJe-Keun Rhee0Sejoon Lee1Woong-Yang Park2Young-Ho Kim3Tae-Min Kim4Cancer Research Institute, College of Medicine, The Catholic University of Korea, 222 Banpo-daeroSamsung Genome Institute, Samsung Medical CenterSamsung Genome Institute, Samsung Medical CenterTranslational Epidemiology Research Branch, Research Institute, National Cancer CenterCancer Research Institute, College of Medicine, The Catholic University of Korea, 222 Banpo-daeroAbstract Somatic mutations in cancer genomes often show allelic imbalance (AI) of mutation abundance between the genome and transcriptome, but there is not yet a systematic understanding of AI. In this study, we performed large-scale DNA and RNA AI analyses of >100,000 somatic mutations in >2,000 cancer specimens across five tumor types using the exome and transcriptome sequencing data of the Cancer Genome Atlas consortium. First, AI analysis of nonsense mutations and frameshift indels revealed that nonsense-mediated decay is typical in cancer genomes, and we identified the relationship between the extent of AI and the location of mutations in addition to the well-recognized 50-nt rules. Second, the AI with splice site mutations may reflect the extent of intron retention and is frequently observed in known tumor suppressor genes. For missense mutations, we observed that mutations frequently subject to AI are enriched to genes related to cancer, especially those of apoptosis and the extracellular matrix, and C:G > A:T transversions. Our results suggest that mutations in known cancer-related genes and their transcripts are subjected to different levels of transcriptional or posttranscriptional regulation compared to wildtype alleles and may add an additional regulatory layer to the functions of cancer-relevant genes.https://doi.org/10.1038/s41598-017-01966-z
collection DOAJ
language English
format Article
sources DOAJ
author Je-Keun Rhee
Sejoon Lee
Woong-Yang Park
Young-Ho Kim
Tae-Min Kim
spellingShingle Je-Keun Rhee
Sejoon Lee
Woong-Yang Park
Young-Ho Kim
Tae-Min Kim
Allelic imbalance of somatic mutations in cancer genomes and transcriptomes
Scientific Reports
author_facet Je-Keun Rhee
Sejoon Lee
Woong-Yang Park
Young-Ho Kim
Tae-Min Kim
author_sort Je-Keun Rhee
title Allelic imbalance of somatic mutations in cancer genomes and transcriptomes
title_short Allelic imbalance of somatic mutations in cancer genomes and transcriptomes
title_full Allelic imbalance of somatic mutations in cancer genomes and transcriptomes
title_fullStr Allelic imbalance of somatic mutations in cancer genomes and transcriptomes
title_full_unstemmed Allelic imbalance of somatic mutations in cancer genomes and transcriptomes
title_sort allelic imbalance of somatic mutations in cancer genomes and transcriptomes
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-05-01
description Abstract Somatic mutations in cancer genomes often show allelic imbalance (AI) of mutation abundance between the genome and transcriptome, but there is not yet a systematic understanding of AI. In this study, we performed large-scale DNA and RNA AI analyses of >100,000 somatic mutations in >2,000 cancer specimens across five tumor types using the exome and transcriptome sequencing data of the Cancer Genome Atlas consortium. First, AI analysis of nonsense mutations and frameshift indels revealed that nonsense-mediated decay is typical in cancer genomes, and we identified the relationship between the extent of AI and the location of mutations in addition to the well-recognized 50-nt rules. Second, the AI with splice site mutations may reflect the extent of intron retention and is frequently observed in known tumor suppressor genes. For missense mutations, we observed that mutations frequently subject to AI are enriched to genes related to cancer, especially those of apoptosis and the extracellular matrix, and C:G > A:T transversions. Our results suggest that mutations in known cancer-related genes and their transcripts are subjected to different levels of transcriptional or posttranscriptional regulation compared to wildtype alleles and may add an additional regulatory layer to the functions of cancer-relevant genes.
url https://doi.org/10.1038/s41598-017-01966-z
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