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Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling
Cancer is composed of multiple cell populations with different genomes. This phenomenon called intratumor heterogeneity (ITH) is supposed to be a fundamental cause of therapeutic failure. Therefore, its principle‐level understanding is a clinically important issue. To achieve this goal, an interdisc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891172/ https://www.ncbi.nlm.nih.gov/pubmed/29352488 http://dx.doi.org/10.1111/cas.13510 |
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author | Niida, Atsushi Nagayama, Satoshi Miyano, Satoru Mimori, Koshi |
author_facet | Niida, Atsushi Nagayama, Satoshi Miyano, Satoru Mimori, Koshi |
author_sort | Niida, Atsushi |
collection | PubMed |
description | Cancer is composed of multiple cell populations with different genomes. This phenomenon called intratumor heterogeneity (ITH) is supposed to be a fundamental cause of therapeutic failure. Therefore, its principle‐level understanding is a clinically important issue. To achieve this goal, an interdisciplinary approach combining genome analysis and mathematical modeling is essential. For example, we have recently performed multiregion sequencing to unveil extensive ITH in colorectal cancer. Moreover, by employing mathematical modeling of cancer evolution, we demonstrated that it is possible that this ITH is generated by neutral evolution. In this review, we introduce recent advances in a research field related to ITH and also discuss strategies for exploiting novel findings on ITH in a clinical setting. |
format | Online Article Text |
id | pubmed-5891172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58911722018-04-13 Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling Niida, Atsushi Nagayama, Satoshi Miyano, Satoru Mimori, Koshi Cancer Sci Review Articles Cancer is composed of multiple cell populations with different genomes. This phenomenon called intratumor heterogeneity (ITH) is supposed to be a fundamental cause of therapeutic failure. Therefore, its principle‐level understanding is a clinically important issue. To achieve this goal, an interdisciplinary approach combining genome analysis and mathematical modeling is essential. For example, we have recently performed multiregion sequencing to unveil extensive ITH in colorectal cancer. Moreover, by employing mathematical modeling of cancer evolution, we demonstrated that it is possible that this ITH is generated by neutral evolution. In this review, we introduce recent advances in a research field related to ITH and also discuss strategies for exploiting novel findings on ITH in a clinical setting. John Wiley and Sons Inc. 2018-02-28 2018-04 /pmc/articles/PMC5891172/ /pubmed/29352488 http://dx.doi.org/10.1111/cas.13510 Text en © 2018 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Articles Niida, Atsushi Nagayama, Satoshi Miyano, Satoru Mimori, Koshi Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
title | Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
title_full | Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
title_fullStr | Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
title_full_unstemmed | Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
title_short | Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
title_sort | understanding intratumor heterogeneity by combining genome analysis and mathematical modeling |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891172/ https://www.ncbi.nlm.nih.gov/pubmed/29352488 http://dx.doi.org/10.1111/cas.13510 |
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