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Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression
Cancer results from alterations at essential genomic sites and is characterized by uncontrolled cell proliferation, invasion and metastasis. Identification of driver genes of metastatic progression is essential, as metastases, not primary tumors, are fatal. To gain insight into the mutational concor...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749725/ https://www.ncbi.nlm.nih.gov/pubmed/29293529 http://dx.doi.org/10.1371/journal.pone.0189887 |
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author | Krøigård, Anne Bruun Larsen, Martin Jakob Lænkholm, Anne-Vibeke Knoop, Ann S. Jensen, Jeanette Dupont Bak, Martin Mollenhauer, Jan Thomassen, Mads Kruse, Torben A. |
author_facet | Krøigård, Anne Bruun Larsen, Martin Jakob Lænkholm, Anne-Vibeke Knoop, Ann S. Jensen, Jeanette Dupont Bak, Martin Mollenhauer, Jan Thomassen, Mads Kruse, Torben A. |
author_sort | Krøigård, Anne Bruun |
collection | PubMed |
description | Cancer results from alterations at essential genomic sites and is characterized by uncontrolled cell proliferation, invasion and metastasis. Identification of driver genes of metastatic progression is essential, as metastases, not primary tumors, are fatal. To gain insight into the mutational concordance between different steps of malignant progression we performed exome sequencing and validation with targeted deep sequencing of successive steps of malignant progression from pre-invasive stages to asynchronous distant metastases in six breast cancer patients. Using the ratio of non-synonymous to synonymous mutations, a surprisingly large number of cancer driver genes, ranging between 3 and 145, were estimated to confer a selective advantage in the studied primary tumors. We report a substantial amount of metastasis specific mutations and a number of novel putative metastasis driver genes. Most notable are the DCC, ABCA13, TIAM2, CREBBP, BCL6B and ZNF185 genes, mainly mutated exclusively in metastases and highly likely driver genes of metastatic progression. We find different genes and pathways to be affected at different steps of malignant progression. The Adherens junction pathway is affected in four of the six studied patients and this pathway most likely plays a vital role in the metastatic process. |
format | Online Article Text |
id | pubmed-5749725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57497252018-01-26 Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression Krøigård, Anne Bruun Larsen, Martin Jakob Lænkholm, Anne-Vibeke Knoop, Ann S. Jensen, Jeanette Dupont Bak, Martin Mollenhauer, Jan Thomassen, Mads Kruse, Torben A. PLoS One Research Article Cancer results from alterations at essential genomic sites and is characterized by uncontrolled cell proliferation, invasion and metastasis. Identification of driver genes of metastatic progression is essential, as metastases, not primary tumors, are fatal. To gain insight into the mutational concordance between different steps of malignant progression we performed exome sequencing and validation with targeted deep sequencing of successive steps of malignant progression from pre-invasive stages to asynchronous distant metastases in six breast cancer patients. Using the ratio of non-synonymous to synonymous mutations, a surprisingly large number of cancer driver genes, ranging between 3 and 145, were estimated to confer a selective advantage in the studied primary tumors. We report a substantial amount of metastasis specific mutations and a number of novel putative metastasis driver genes. Most notable are the DCC, ABCA13, TIAM2, CREBBP, BCL6B and ZNF185 genes, mainly mutated exclusively in metastases and highly likely driver genes of metastatic progression. We find different genes and pathways to be affected at different steps of malignant progression. The Adherens junction pathway is affected in four of the six studied patients and this pathway most likely plays a vital role in the metastatic process. Public Library of Science 2018-01-02 /pmc/articles/PMC5749725/ /pubmed/29293529 http://dx.doi.org/10.1371/journal.pone.0189887 Text en © 2018 Krøigård et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Krøigård, Anne Bruun Larsen, Martin Jakob Lænkholm, Anne-Vibeke Knoop, Ann S. Jensen, Jeanette Dupont Bak, Martin Mollenhauer, Jan Thomassen, Mads Kruse, Torben A. Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
title | Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
title_full | Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
title_fullStr | Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
title_full_unstemmed | Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
title_short | Identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
title_sort | identification of metastasis driver genes by massive parallel sequencing of successive steps of breast cancer progression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749725/ https://www.ncbi.nlm.nih.gov/pubmed/29293529 http://dx.doi.org/10.1371/journal.pone.0189887 |
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