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Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data
Metastasis is a major cause of cancer‐related mortality, and it is essential to understand how metastasis occurs in order to overcome it. One relevant question is the origin of a metastatic tumor cell population. Although the hypothesis of a single‐cell origin for metastasis from a primary tumor has...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079087/ https://www.ncbi.nlm.nih.gov/pubmed/32020592 http://dx.doi.org/10.1002/ijc.32910 |
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author | Nishino, Jo Watanabe, Shuichi Miya, Fuyuki Kamatani, Takashi Sugawara, Toshitaka Boroevich, Keith A. Tsunoda, Tatsuhiko |
author_facet | Nishino, Jo Watanabe, Shuichi Miya, Fuyuki Kamatani, Takashi Sugawara, Toshitaka Boroevich, Keith A. Tsunoda, Tatsuhiko |
author_sort | Nishino, Jo |
collection | PubMed |
description | Metastasis is a major cause of cancer‐related mortality, and it is essential to understand how metastasis occurs in order to overcome it. One relevant question is the origin of a metastatic tumor cell population. Although the hypothesis of a single‐cell origin for metastasis from a primary tumor has long been prevalent, several recent studies using mouse models have supported a multicellular origin of metastasis. Human bulk whole‐exome sequencing (WES) studies also have demonstrated a multiple “clonal” origin of metastasis, with different mutational compositions. Specifically, there has not yet been strong research to determine how many founder cells colonize a metastatic tumor. To address this question, under the metastatic model of “single bottleneck followed by rapid growth,” we developed a method to quantify the “founder cell population size” in a metastasis using paired WES data from primary and metachronous metastatic tumors. Simulation studies demonstrated the proposed method gives unbiased results with sufficient accuracy in the range of realistic settings. Applying the proposed method to real WES data from four colorectal cancer patients, all samples supported a multicellular origin of metastasis and the founder size was quantified, ranging from 3 to 17 cells. Such a wide‐range of founder sizes estimated by the proposed method suggests that there are large variations in genetic similarity between primary and metastatic tumors in the same subjects, which may explain the observed (dis)similarity of drug responses between tumors. |
format | Online Article Text |
id | pubmed-7079087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70790872020-03-19 Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data Nishino, Jo Watanabe, Shuichi Miya, Fuyuki Kamatani, Takashi Sugawara, Toshitaka Boroevich, Keith A. Tsunoda, Tatsuhiko Int J Cancer Cancer Genetics and Epigenetics Metastasis is a major cause of cancer‐related mortality, and it is essential to understand how metastasis occurs in order to overcome it. One relevant question is the origin of a metastatic tumor cell population. Although the hypothesis of a single‐cell origin for metastasis from a primary tumor has long been prevalent, several recent studies using mouse models have supported a multicellular origin of metastasis. Human bulk whole‐exome sequencing (WES) studies also have demonstrated a multiple “clonal” origin of metastasis, with different mutational compositions. Specifically, there has not yet been strong research to determine how many founder cells colonize a metastatic tumor. To address this question, under the metastatic model of “single bottleneck followed by rapid growth,” we developed a method to quantify the “founder cell population size” in a metastasis using paired WES data from primary and metachronous metastatic tumors. Simulation studies demonstrated the proposed method gives unbiased results with sufficient accuracy in the range of realistic settings. Applying the proposed method to real WES data from four colorectal cancer patients, all samples supported a multicellular origin of metastasis and the founder size was quantified, ranging from 3 to 17 cells. Such a wide‐range of founder sizes estimated by the proposed method suggests that there are large variations in genetic similarity between primary and metastatic tumors in the same subjects, which may explain the observed (dis)similarity of drug responses between tumors. John Wiley & Sons, Inc. 2020-02-15 2020-05-01 /pmc/articles/PMC7079087/ /pubmed/32020592 http://dx.doi.org/10.1002/ijc.32910 Text en © 2020 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC 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 | Cancer Genetics and Epigenetics Nishino, Jo Watanabe, Shuichi Miya, Fuyuki Kamatani, Takashi Sugawara, Toshitaka Boroevich, Keith A. Tsunoda, Tatsuhiko Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
title | Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
title_full | Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
title_fullStr | Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
title_full_unstemmed | Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
title_short | Quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
title_sort | quantification of multicellular colonization in tumor metastasis using exome‐sequencing data |
topic | Cancer Genetics and Epigenetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079087/ https://www.ncbi.nlm.nih.gov/pubmed/32020592 http://dx.doi.org/10.1002/ijc.32910 |
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