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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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 |
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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 |
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