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A systematic comparison of copy number alterations in four types of female cancer

BACKGROUND: Detection and localization of genomic alterations and breakpoints are crucial in cancer research. The purpose of this study was to investigate, in a methodological and biological perspective, different female, hormone-dependent cancers to identify common and diverse DNA aberrations, gene...

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Autores principales: Kaveh, Fatemeh, Baumbusch, Lars O., Nebdal, Daniel, Børresen-Dale, Anne-Lise, Lingjærde, Ole Christian, Edvardsen, Hege, Kristensen, Vessela N., Solvang, Hiroko K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120489/
https://www.ncbi.nlm.nih.gov/pubmed/27876019
http://dx.doi.org/10.1186/s12885-016-2899-4
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author Kaveh, Fatemeh
Baumbusch, Lars O.
Nebdal, Daniel
Børresen-Dale, Anne-Lise
Lingjærde, Ole Christian
Edvardsen, Hege
Kristensen, Vessela N.
Solvang, Hiroko K.
author_facet Kaveh, Fatemeh
Baumbusch, Lars O.
Nebdal, Daniel
Børresen-Dale, Anne-Lise
Lingjærde, Ole Christian
Edvardsen, Hege
Kristensen, Vessela N.
Solvang, Hiroko K.
author_sort Kaveh, Fatemeh
collection PubMed
description BACKGROUND: Detection and localization of genomic alterations and breakpoints are crucial in cancer research. The purpose of this study was to investigate, in a methodological and biological perspective, different female, hormone-dependent cancers to identify common and diverse DNA aberrations, genes, and pathways. METHODS: In this work, we analyzed tissue samples from patients with breast (n = 112), ovarian (n = 74), endometrial (n = 84), or cervical (n = 76) cancer. To identify genomic aberrations, the Circular Binary Segmentation (CBS) and Piecewise Constant Fitting (PCF) algorithms were used and segmentation thresholds optimized. The Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm was applied to the segmented data to identify significantly altered regions and the associated genes were analyzed by Ingenuity Pathway Analysis (IPA) to detect over-represented pathways and functions within the identified gene sets. RESULTS AND DISCUSSION: Analyses of high-resolution copy number alterations in four different female cancer types are presented. For appropriately adjusted segmentation parameters the two segmentation algorithms CBS and PCF performed similarly. We identified one region at 8q24.3 with focal aberrations that was altered at significant frequency across all four cancer types. Considering both, broad regions and focal peaks, three additional regions with gains at significant frequency were revealed at 1p21.1, 8p22, and 13q21.33, respectively. Several of these events involve known cancer-related genes, like PPP2R2A, PSCA, PTP4A3, and PTK2. In the female reproductive system (ovarian, endometrial, and cervix [OEC]), we discovered three common events: copy number gains at 5p15.33 and 15q11.2, further a copy number loss at 8p21.2. Interestingly, as many as 75% of the aberrations (75% amplifications and 86% deletions) identified by GISTIC were specific for just one cancer type and represented distinct molecular pathways. CONCLUSIONS: Our results disclose that some prominent copy number changes are shared in the four examined female, hormone-dependent cancer whereas others are definitive to specific cancer types. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2899-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-51204892016-11-28 A systematic comparison of copy number alterations in four types of female cancer Kaveh, Fatemeh Baumbusch, Lars O. Nebdal, Daniel Børresen-Dale, Anne-Lise Lingjærde, Ole Christian Edvardsen, Hege Kristensen, Vessela N. Solvang, Hiroko K. BMC Cancer Research Article BACKGROUND: Detection and localization of genomic alterations and breakpoints are crucial in cancer research. The purpose of this study was to investigate, in a methodological and biological perspective, different female, hormone-dependent cancers to identify common and diverse DNA aberrations, genes, and pathways. METHODS: In this work, we analyzed tissue samples from patients with breast (n = 112), ovarian (n = 74), endometrial (n = 84), or cervical (n = 76) cancer. To identify genomic aberrations, the Circular Binary Segmentation (CBS) and Piecewise Constant Fitting (PCF) algorithms were used and segmentation thresholds optimized. The Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm was applied to the segmented data to identify significantly altered regions and the associated genes were analyzed by Ingenuity Pathway Analysis (IPA) to detect over-represented pathways and functions within the identified gene sets. RESULTS AND DISCUSSION: Analyses of high-resolution copy number alterations in four different female cancer types are presented. For appropriately adjusted segmentation parameters the two segmentation algorithms CBS and PCF performed similarly. We identified one region at 8q24.3 with focal aberrations that was altered at significant frequency across all four cancer types. Considering both, broad regions and focal peaks, three additional regions with gains at significant frequency were revealed at 1p21.1, 8p22, and 13q21.33, respectively. Several of these events involve known cancer-related genes, like PPP2R2A, PSCA, PTP4A3, and PTK2. In the female reproductive system (ovarian, endometrial, and cervix [OEC]), we discovered three common events: copy number gains at 5p15.33 and 15q11.2, further a copy number loss at 8p21.2. Interestingly, as many as 75% of the aberrations (75% amplifications and 86% deletions) identified by GISTIC were specific for just one cancer type and represented distinct molecular pathways. CONCLUSIONS: Our results disclose that some prominent copy number changes are shared in the four examined female, hormone-dependent cancer whereas others are definitive to specific cancer types. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2899-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-22 /pmc/articles/PMC5120489/ /pubmed/27876019 http://dx.doi.org/10.1186/s12885-016-2899-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kaveh, Fatemeh
Baumbusch, Lars O.
Nebdal, Daniel
Børresen-Dale, Anne-Lise
Lingjærde, Ole Christian
Edvardsen, Hege
Kristensen, Vessela N.
Solvang, Hiroko K.
A systematic comparison of copy number alterations in four types of female cancer
title A systematic comparison of copy number alterations in four types of female cancer
title_full A systematic comparison of copy number alterations in four types of female cancer
title_fullStr A systematic comparison of copy number alterations in four types of female cancer
title_full_unstemmed A systematic comparison of copy number alterations in four types of female cancer
title_short A systematic comparison of copy number alterations in four types of female cancer
title_sort systematic comparison of copy number alterations in four types of female cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120489/
https://www.ncbi.nlm.nih.gov/pubmed/27876019
http://dx.doi.org/10.1186/s12885-016-2899-4
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