Cargando…

Mutational concordance analysis provides supportive information for double cancer diagnosis

BACKGROUND: Mutation analysis using next-generation sequencing highlights the features of tumors with somatic alterations. However, the mutation profile of double cancer remains unclear. Here, we analyzed tumors derived from the same patient using whole exome sequencing (WES) to investigate the cohe...

Descripción completa

Detalles Bibliográficos
Autores principales: Hatakeyama, Keiichi, Nagashima, Takeshi, Notsu, Akifumi, Ohshima, Keiichi, Ohnami, Sumiko, Ohnami, Shumpei, Shimoda, Yuji, Naruoka, Akane, Maruyama, Koji, Iizuka, Akira, Ashizawa, Tadashi, Kenmotsu, Hirotsugu, Mochizuki, Tohru, Urakami, Kenichi, Akiyama, Yasuto, Yamaguchi, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893960/
https://www.ncbi.nlm.nih.gov/pubmed/33607950
http://dx.doi.org/10.1186/s12885-021-07899-1
_version_ 1783653152718848000
author Hatakeyama, Keiichi
Nagashima, Takeshi
Notsu, Akifumi
Ohshima, Keiichi
Ohnami, Sumiko
Ohnami, Shumpei
Shimoda, Yuji
Naruoka, Akane
Maruyama, Koji
Iizuka, Akira
Ashizawa, Tadashi
Kenmotsu, Hirotsugu
Mochizuki, Tohru
Urakami, Kenichi
Akiyama, Yasuto
Yamaguchi, Ken
author_facet Hatakeyama, Keiichi
Nagashima, Takeshi
Notsu, Akifumi
Ohshima, Keiichi
Ohnami, Sumiko
Ohnami, Shumpei
Shimoda, Yuji
Naruoka, Akane
Maruyama, Koji
Iizuka, Akira
Ashizawa, Tadashi
Kenmotsu, Hirotsugu
Mochizuki, Tohru
Urakami, Kenichi
Akiyama, Yasuto
Yamaguchi, Ken
author_sort Hatakeyama, Keiichi
collection PubMed
description BACKGROUND: Mutation analysis using next-generation sequencing highlights the features of tumors with somatic alterations. However, the mutation profile of double cancer remains unclear. Here, we analyzed tumors derived from the same patient using whole exome sequencing (WES) to investigate the coherence of somatic mutations in double cancer. METHODS: First, the tumor mutational burden (TMB) was investigated using WES of 5521 tumor specimens from a Japanese pan-cancer cohort. The frequencies of mutation concordance were then compared in these cancers. Finally, we calculated the expected value of mutational concordance fitting a Poisson distribution to determine the relationship between double and metastatic cancers. RESULTS: In all, 44, 58, and 121 paired samples were diagnosed as double cancer, multifocal lesions (derived from identical tissues), and metastasis, respectively. Our analysis revealed that common somatic mutations were almost entirely absent in double cancer, whereas primary tumors and metastatic foci harbored several identical alterations. Concordance of the mutation profile in the same patient reflects the tumor origin and development, suggesting the potential for identifying double cancer based on common somatic mutations. Furthermore, according to a Poisson distribution, double cancer could be discriminated based on paired samples from the same patient. The probability of double cancer with more than 10 mutations was ≤1 part-per-billion (ppb, 10(− 9)). In multifocal lesions, 74% of tumor pairs accumulated ≤10 common mutations, implying a difference in tumor origin within identical tissues. CONCLUSIONS: These findings indicate that counting common somatic mutations can indicate the differences in origin between tumors derived from the same patient. Our mutation coherence analysis can thus provide beneficial information for diagnosing double cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-07899-1.
format Online
Article
Text
id pubmed-7893960
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-78939602021-02-22 Mutational concordance analysis provides supportive information for double cancer diagnosis Hatakeyama, Keiichi Nagashima, Takeshi Notsu, Akifumi Ohshima, Keiichi Ohnami, Sumiko Ohnami, Shumpei Shimoda, Yuji Naruoka, Akane Maruyama, Koji Iizuka, Akira Ashizawa, Tadashi Kenmotsu, Hirotsugu Mochizuki, Tohru Urakami, Kenichi Akiyama, Yasuto Yamaguchi, Ken BMC Cancer Research Article BACKGROUND: Mutation analysis using next-generation sequencing highlights the features of tumors with somatic alterations. However, the mutation profile of double cancer remains unclear. Here, we analyzed tumors derived from the same patient using whole exome sequencing (WES) to investigate the coherence of somatic mutations in double cancer. METHODS: First, the tumor mutational burden (TMB) was investigated using WES of 5521 tumor specimens from a Japanese pan-cancer cohort. The frequencies of mutation concordance were then compared in these cancers. Finally, we calculated the expected value of mutational concordance fitting a Poisson distribution to determine the relationship between double and metastatic cancers. RESULTS: In all, 44, 58, and 121 paired samples were diagnosed as double cancer, multifocal lesions (derived from identical tissues), and metastasis, respectively. Our analysis revealed that common somatic mutations were almost entirely absent in double cancer, whereas primary tumors and metastatic foci harbored several identical alterations. Concordance of the mutation profile in the same patient reflects the tumor origin and development, suggesting the potential for identifying double cancer based on common somatic mutations. Furthermore, according to a Poisson distribution, double cancer could be discriminated based on paired samples from the same patient. The probability of double cancer with more than 10 mutations was ≤1 part-per-billion (ppb, 10(− 9)). In multifocal lesions, 74% of tumor pairs accumulated ≤10 common mutations, implying a difference in tumor origin within identical tissues. CONCLUSIONS: These findings indicate that counting common somatic mutations can indicate the differences in origin between tumors derived from the same patient. Our mutation coherence analysis can thus provide beneficial information for diagnosing double cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-07899-1. BioMed Central 2021-02-19 /pmc/articles/PMC7893960/ /pubmed/33607950 http://dx.doi.org/10.1186/s12885-021-07899-1 Text en © The Author(s) 2021 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
Hatakeyama, Keiichi
Nagashima, Takeshi
Notsu, Akifumi
Ohshima, Keiichi
Ohnami, Sumiko
Ohnami, Shumpei
Shimoda, Yuji
Naruoka, Akane
Maruyama, Koji
Iizuka, Akira
Ashizawa, Tadashi
Kenmotsu, Hirotsugu
Mochizuki, Tohru
Urakami, Kenichi
Akiyama, Yasuto
Yamaguchi, Ken
Mutational concordance analysis provides supportive information for double cancer diagnosis
title Mutational concordance analysis provides supportive information for double cancer diagnosis
title_full Mutational concordance analysis provides supportive information for double cancer diagnosis
title_fullStr Mutational concordance analysis provides supportive information for double cancer diagnosis
title_full_unstemmed Mutational concordance analysis provides supportive information for double cancer diagnosis
title_short Mutational concordance analysis provides supportive information for double cancer diagnosis
title_sort mutational concordance analysis provides supportive information for double cancer diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893960/
https://www.ncbi.nlm.nih.gov/pubmed/33607950
http://dx.doi.org/10.1186/s12885-021-07899-1
work_keys_str_mv AT hatakeyamakeiichi mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT nagashimatakeshi mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT notsuakifumi mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT ohshimakeiichi mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT ohnamisumiko mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT ohnamishumpei mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT shimodayuji mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT naruokaakane mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT maruyamakoji mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT iizukaakira mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT ashizawatadashi mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT kenmotsuhirotsugu mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT mochizukitohru mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT urakamikenichi mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT akiyamayasuto mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis
AT yamaguchiken mutationalconcordanceanalysisprovidessupportiveinformationfordoublecancerdiagnosis