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Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations

BACKGROUND: Hereditary cancer predisposition syndromes are responsible for approximately 5–10% of all diagnosed cancer cases. In the past, single-gene analysis of specific high risk genes was used for the determination of the genetic cause of cancer heritability in certain families. The application...

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Autores principales: Tsaousis, Georgios N., Papadopoulou, Eirini, Apessos, Angela, Agiannitopoulos, Konstantinos, Pepe, Georgia, Kampouri, Stavroula, Diamantopoulos, Nikolaos, Floros, Theofanis, Iosifidou, Rodoniki, Katopodi, Ourania, Koumarianou, Anna, Markopoulos, Christos, Papazisis, Konstantinos, Venizelos, Vasileios, Xanthakis, Ioannis, Xepapadakis, Grigorios, Banu, Eugeniu, Eniu, Dan Tudor, Negru, Serban, Stanculeanu, Dana Lucia, Ungureanu, Andrei, Ozmen, Vahit, Tansan, Sualp, Tekinel, Mehmet, Yalcin, Suayib, Nasioulas, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547505/
https://www.ncbi.nlm.nih.gov/pubmed/31159747
http://dx.doi.org/10.1186/s12885-019-5756-4
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author Tsaousis, Georgios N.
Papadopoulou, Eirini
Apessos, Angela
Agiannitopoulos, Konstantinos
Pepe, Georgia
Kampouri, Stavroula
Diamantopoulos, Nikolaos
Floros, Theofanis
Iosifidou, Rodoniki
Katopodi, Ourania
Koumarianou, Anna
Markopoulos, Christos
Papazisis, Konstantinos
Venizelos, Vasileios
Xanthakis, Ioannis
Xepapadakis, Grigorios
Banu, Eugeniu
Eniu, Dan Tudor
Negru, Serban
Stanculeanu, Dana Lucia
Ungureanu, Andrei
Ozmen, Vahit
Tansan, Sualp
Tekinel, Mehmet
Yalcin, Suayib
Nasioulas, George
author_facet Tsaousis, Georgios N.
Papadopoulou, Eirini
Apessos, Angela
Agiannitopoulos, Konstantinos
Pepe, Georgia
Kampouri, Stavroula
Diamantopoulos, Nikolaos
Floros, Theofanis
Iosifidou, Rodoniki
Katopodi, Ourania
Koumarianou, Anna
Markopoulos, Christos
Papazisis, Konstantinos
Venizelos, Vasileios
Xanthakis, Ioannis
Xepapadakis, Grigorios
Banu, Eugeniu
Eniu, Dan Tudor
Negru, Serban
Stanculeanu, Dana Lucia
Ungureanu, Andrei
Ozmen, Vahit
Tansan, Sualp
Tekinel, Mehmet
Yalcin, Suayib
Nasioulas, George
author_sort Tsaousis, Georgios N.
collection PubMed
description BACKGROUND: Hereditary cancer predisposition syndromes are responsible for approximately 5–10% of all diagnosed cancer cases. In the past, single-gene analysis of specific high risk genes was used for the determination of the genetic cause of cancer heritability in certain families. The application of Next Generation Sequencing (NGS) technology has facilitated multigene panel analysis and is widely used in clinical practice, for the identification of individuals with cancer predisposing gene variants. The purpose of this study was to investigate the extent and nature of variants in genes implicated in hereditary cancer predisposition in individuals referred for testing in our laboratory. METHODS: In total, 1197 individuals from Greece, Romania and Turkey were referred to our laboratory for genetic testing in the past 4 years. The majority of referrals included individuals with personal of family history of breast and/or ovarian cancer. The analysis of genes involved in hereditary cancer predisposition was performed using a NGS approach. Genomic DNA was enriched for targeted regions of 36 genes and sequencing was carried out using the Illumina NGS technology. The presence of large genomic rearrangements (LGRs) was investigated by computational analysis and Multiplex Ligation-dependent Probe Amplification (MLPA). RESULTS: A pathogenic variant was identified in 264 of 1197 individuals (22.1%) analyzed while a variant of uncertain significance (VUS) was identified in 34.8% of cases. Clinically significant variants were identified in 29 of the 36 genes analyzed. Concerning the mutation distribution among individuals with positive findings, 43.6% were located in the BRCA1/2 genes whereas 21.6, 19.9, and 15.0% in other high, moderate and low risk genes respectively. Notably, 25 of the 264 positive individuals (9.5%) carried clinically significant variants in two different genes and 6.1% had a LGR. CONCLUSIONS: In our cohort, analysis of all the genes in the panel allowed the identification of 4.3 and 8.1% additional pathogenic variants in other high or moderate/low risk genes, respectively, enabling personalized management decisions for these individuals and supporting the clinical significance of multigene panel analysis in hereditary cancer predisposition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5756-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-65475052019-06-06 Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations Tsaousis, Georgios N. Papadopoulou, Eirini Apessos, Angela Agiannitopoulos, Konstantinos Pepe, Georgia Kampouri, Stavroula Diamantopoulos, Nikolaos Floros, Theofanis Iosifidou, Rodoniki Katopodi, Ourania Koumarianou, Anna Markopoulos, Christos Papazisis, Konstantinos Venizelos, Vasileios Xanthakis, Ioannis Xepapadakis, Grigorios Banu, Eugeniu Eniu, Dan Tudor Negru, Serban Stanculeanu, Dana Lucia Ungureanu, Andrei Ozmen, Vahit Tansan, Sualp Tekinel, Mehmet Yalcin, Suayib Nasioulas, George BMC Cancer Research Article BACKGROUND: Hereditary cancer predisposition syndromes are responsible for approximately 5–10% of all diagnosed cancer cases. In the past, single-gene analysis of specific high risk genes was used for the determination of the genetic cause of cancer heritability in certain families. The application of Next Generation Sequencing (NGS) technology has facilitated multigene panel analysis and is widely used in clinical practice, for the identification of individuals with cancer predisposing gene variants. The purpose of this study was to investigate the extent and nature of variants in genes implicated in hereditary cancer predisposition in individuals referred for testing in our laboratory. METHODS: In total, 1197 individuals from Greece, Romania and Turkey were referred to our laboratory for genetic testing in the past 4 years. The majority of referrals included individuals with personal of family history of breast and/or ovarian cancer. The analysis of genes involved in hereditary cancer predisposition was performed using a NGS approach. Genomic DNA was enriched for targeted regions of 36 genes and sequencing was carried out using the Illumina NGS technology. The presence of large genomic rearrangements (LGRs) was investigated by computational analysis and Multiplex Ligation-dependent Probe Amplification (MLPA). RESULTS: A pathogenic variant was identified in 264 of 1197 individuals (22.1%) analyzed while a variant of uncertain significance (VUS) was identified in 34.8% of cases. Clinically significant variants were identified in 29 of the 36 genes analyzed. Concerning the mutation distribution among individuals with positive findings, 43.6% were located in the BRCA1/2 genes whereas 21.6, 19.9, and 15.0% in other high, moderate and low risk genes respectively. Notably, 25 of the 264 positive individuals (9.5%) carried clinically significant variants in two different genes and 6.1% had a LGR. CONCLUSIONS: In our cohort, analysis of all the genes in the panel allowed the identification of 4.3 and 8.1% additional pathogenic variants in other high or moderate/low risk genes, respectively, enabling personalized management decisions for these individuals and supporting the clinical significance of multigene panel analysis in hereditary cancer predisposition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5756-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-03 /pmc/articles/PMC6547505/ /pubmed/31159747 http://dx.doi.org/10.1186/s12885-019-5756-4 Text en © The Author(s). 2019 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
Tsaousis, Georgios N.
Papadopoulou, Eirini
Apessos, Angela
Agiannitopoulos, Konstantinos
Pepe, Georgia
Kampouri, Stavroula
Diamantopoulos, Nikolaos
Floros, Theofanis
Iosifidou, Rodoniki
Katopodi, Ourania
Koumarianou, Anna
Markopoulos, Christos
Papazisis, Konstantinos
Venizelos, Vasileios
Xanthakis, Ioannis
Xepapadakis, Grigorios
Banu, Eugeniu
Eniu, Dan Tudor
Negru, Serban
Stanculeanu, Dana Lucia
Ungureanu, Andrei
Ozmen, Vahit
Tansan, Sualp
Tekinel, Mehmet
Yalcin, Suayib
Nasioulas, George
Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
title Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
title_full Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
title_fullStr Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
title_full_unstemmed Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
title_short Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
title_sort analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547505/
https://www.ncbi.nlm.nih.gov/pubmed/31159747
http://dx.doi.org/10.1186/s12885-019-5756-4
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