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Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer

Metachronous (MBC) and synchronous bilateral breast tumors (SBC) are mostly distinct primaries, whereas paired primaries and their local recurrences (LRC) share a common origin. Intra-pair gene expression variability in MBC, SBC, and LRC derives from time/tumor microenvironment-related and tumor gen...

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Autores principales: Callari, Maurizio, Dugo, Matteo, Miodini, Patrizia, Veneroni, Silvia, Bianchini, Giampaolo, Daidone, Maria Grazia, Cappelletti, Vera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796145/
https://www.ncbi.nlm.nih.gov/pubmed/29315233
http://dx.doi.org/10.3390/ijms19010196
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author Callari, Maurizio
Dugo, Matteo
Miodini, Patrizia
Veneroni, Silvia
Bianchini, Giampaolo
Daidone, Maria Grazia
Cappelletti, Vera
author_facet Callari, Maurizio
Dugo, Matteo
Miodini, Patrizia
Veneroni, Silvia
Bianchini, Giampaolo
Daidone, Maria Grazia
Cappelletti, Vera
author_sort Callari, Maurizio
collection PubMed
description Metachronous (MBC) and synchronous bilateral breast tumors (SBC) are mostly distinct primaries, whereas paired primaries and their local recurrences (LRC) share a common origin. Intra-pair gene expression variability in MBC, SBC, and LRC derives from time/tumor microenvironment-related and tumor genetic background-related factors and pairs represents an ideal model for trying to dissect tumor-related from microenvironment-related variability. Pairs of tumors derived from women with SBC (n = 18), MBC (n = 11), and LRC (n = 10) undergoing local-regional treatment were profiled for gene expression; similarity between pairs was measured using an intraclass correlation coefficient (ICC) computed for each gene and compared using analysis of variance (ANOVA). When considering biologically unselected genes, the highest correlations were found for primaries and paired LRC, and the lowest for MBC pairs. By instead limiting the analysis to the breast cancer intrinsic genes, correlations between primaries and paired LRC were enhanced, while lower similarities were observed for SBC and MBC. Focusing on stromal-related genes, the ICC values decreased for MBC and were significantly different from SBC. These findings indicate that it is possible to dissect intra-pair gene expression variability into components that are associated with genetic origin or with time and microenvironment by using specific gene subsets.
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spelling pubmed-57961452018-02-09 Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer Callari, Maurizio Dugo, Matteo Miodini, Patrizia Veneroni, Silvia Bianchini, Giampaolo Daidone, Maria Grazia Cappelletti, Vera Int J Mol Sci Article Metachronous (MBC) and synchronous bilateral breast tumors (SBC) are mostly distinct primaries, whereas paired primaries and their local recurrences (LRC) share a common origin. Intra-pair gene expression variability in MBC, SBC, and LRC derives from time/tumor microenvironment-related and tumor genetic background-related factors and pairs represents an ideal model for trying to dissect tumor-related from microenvironment-related variability. Pairs of tumors derived from women with SBC (n = 18), MBC (n = 11), and LRC (n = 10) undergoing local-regional treatment were profiled for gene expression; similarity between pairs was measured using an intraclass correlation coefficient (ICC) computed for each gene and compared using analysis of variance (ANOVA). When considering biologically unselected genes, the highest correlations were found for primaries and paired LRC, and the lowest for MBC pairs. By instead limiting the analysis to the breast cancer intrinsic genes, correlations between primaries and paired LRC were enhanced, while lower similarities were observed for SBC and MBC. Focusing on stromal-related genes, the ICC values decreased for MBC and were significantly different from SBC. These findings indicate that it is possible to dissect intra-pair gene expression variability into components that are associated with genetic origin or with time and microenvironment by using specific gene subsets. MDPI 2018-01-09 /pmc/articles/PMC5796145/ /pubmed/29315233 http://dx.doi.org/10.3390/ijms19010196 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Callari, Maurizio
Dugo, Matteo
Miodini, Patrizia
Veneroni, Silvia
Bianchini, Giampaolo
Daidone, Maria Grazia
Cappelletti, Vera
Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer
title Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer
title_full Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer
title_fullStr Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer
title_full_unstemmed Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer
title_short Dissecting Time- from Tumor-Related Gene Expression Variability in Bilateral Breast Cancer
title_sort dissecting time- from tumor-related gene expression variability in bilateral breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796145/
https://www.ncbi.nlm.nih.gov/pubmed/29315233
http://dx.doi.org/10.3390/ijms19010196
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