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Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers

Next-generation sequencing technology enables us to analyze the complexity of intra- and inter-tumoral heterogeneity, which may influence to prognosis of cancer patients. In this study, we collected surgically-resected tumor tissues from five breast cancer patients and characterized three different...

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Autores principales: Kato, Taigo, Park, Jae-Hyun, Kiyotani, Kazuma, Ikeda, Yuji, Miyoshi, Yasuo, Nakamura, Yusuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617483/
https://www.ncbi.nlm.nih.gov/pubmed/28977923
http://dx.doi.org/10.18632/oncotarget.18790
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author Kato, Taigo
Park, Jae-Hyun
Kiyotani, Kazuma
Ikeda, Yuji
Miyoshi, Yasuo
Nakamura, Yusuke
author_facet Kato, Taigo
Park, Jae-Hyun
Kiyotani, Kazuma
Ikeda, Yuji
Miyoshi, Yasuo
Nakamura, Yusuke
author_sort Kato, Taigo
collection PubMed
description Next-generation sequencing technology enables us to analyze the complexity of intra- and inter-tumoral heterogeneity, which may influence to prognosis of cancer patients. In this study, we collected surgically-resected tumor tissues from five breast cancer patients and characterized three different portions of individual tumors through somatic mutation analysis by whole exome sequencing, T cell receptor beta (TCRB) repertoire analysis of tumor-infiltrating lymphocytes (TILs), and the expression analysis of immune-related genes at 15 different sites. This integrated analysis revealed distinguished patterns of somatic mutations and TIL clonotypes in the three portions of each tumor, implying that the tumor heterogeneity is comprised by spatially different somatic mutations as well as the presence of diverse T cell clones. Furthermore, higher numbers of the non-synonymous somatic mutations were significantly correlated with the higher ratio of GZMA/TCRB expression (P = 0.0004), implying that high somatic mutation load in tumor might be correlated to the number of immunogenic antigens and then functionally activate TILs with higher cytolytic activity. Our findings suggest that breast cancers comprise with very complex tumor heterogeneity by the spatially different mutational landscape and immune microenvironment, and that mutation/neoantigen load may be strongly correlated with induction of cancer-specific TILs and affect the immune microenvironment in breast tumors.
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spelling pubmed-56174832017-10-03 Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers Kato, Taigo Park, Jae-Hyun Kiyotani, Kazuma Ikeda, Yuji Miyoshi, Yasuo Nakamura, Yusuke Oncotarget Research Paper Next-generation sequencing technology enables us to analyze the complexity of intra- and inter-tumoral heterogeneity, which may influence to prognosis of cancer patients. In this study, we collected surgically-resected tumor tissues from five breast cancer patients and characterized three different portions of individual tumors through somatic mutation analysis by whole exome sequencing, T cell receptor beta (TCRB) repertoire analysis of tumor-infiltrating lymphocytes (TILs), and the expression analysis of immune-related genes at 15 different sites. This integrated analysis revealed distinguished patterns of somatic mutations and TIL clonotypes in the three portions of each tumor, implying that the tumor heterogeneity is comprised by spatially different somatic mutations as well as the presence of diverse T cell clones. Furthermore, higher numbers of the non-synonymous somatic mutations were significantly correlated with the higher ratio of GZMA/TCRB expression (P = 0.0004), implying that high somatic mutation load in tumor might be correlated to the number of immunogenic antigens and then functionally activate TILs with higher cytolytic activity. Our findings suggest that breast cancers comprise with very complex tumor heterogeneity by the spatially different mutational landscape and immune microenvironment, and that mutation/neoantigen load may be strongly correlated with induction of cancer-specific TILs and affect the immune microenvironment in breast tumors. Impact Journals LLC 2017-06-28 /pmc/articles/PMC5617483/ /pubmed/28977923 http://dx.doi.org/10.18632/oncotarget.18790 Text en Copyright: © 2017 Kato et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Kato, Taigo
Park, Jae-Hyun
Kiyotani, Kazuma
Ikeda, Yuji
Miyoshi, Yasuo
Nakamura, Yusuke
Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
title Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
title_full Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
title_fullStr Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
title_full_unstemmed Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
title_short Integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
title_sort integrated analysis of somatic mutations and immune microenvironment of multiple regions in breast cancers
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617483/
https://www.ncbi.nlm.nih.gov/pubmed/28977923
http://dx.doi.org/10.18632/oncotarget.18790
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