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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...

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Autores principales: Krøigård, Anne Bruun, Larsen, Martin Jakob, Lænkholm, Anne-Vibeke, Knoop, Ann S., Jensen, Jeanette Dupont, Bak, Martin, Mollenhauer, Jan, Thomassen, Mads, Kruse, Torben A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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