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Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility

The signaling events that drive familial breast cancer (FBC) risk remain poorly understood. While the majority of genomic studies have focused on genetic risk variants, known risk variants account for at most 30% of FBC cases. Considering that multiple genes may influence FBC risk, we hypothesized t...

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Autores principales: Piccolo, Stephen R, Hoffman, Laura M, Conner, Thomas, Shrestha, Gajendra, Cohen, Adam L, Marks, Jeffrey R, Neumayer, Leigh A, Agarwal, Cori A, Beckerle, Mary C, Andrulis, Irene L, Spira, Avrum E, Moos, Philip J, Buys, Saundra S, Johnson, William Evan, Bild, Andrea H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4812528/
https://www.ncbi.nlm.nih.gov/pubmed/26969729
http://dx.doi.org/10.15252/msb.20156506
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author Piccolo, Stephen R
Hoffman, Laura M
Conner, Thomas
Shrestha, Gajendra
Cohen, Adam L
Marks, Jeffrey R
Neumayer, Leigh A
Agarwal, Cori A
Beckerle, Mary C
Andrulis, Irene L
Spira, Avrum E
Moos, Philip J
Buys, Saundra S
Johnson, William Evan
Bild, Andrea H
author_facet Piccolo, Stephen R
Hoffman, Laura M
Conner, Thomas
Shrestha, Gajendra
Cohen, Adam L
Marks, Jeffrey R
Neumayer, Leigh A
Agarwal, Cori A
Beckerle, Mary C
Andrulis, Irene L
Spira, Avrum E
Moos, Philip J
Buys, Saundra S
Johnson, William Evan
Bild, Andrea H
author_sort Piccolo, Stephen R
collection PubMed
description The signaling events that drive familial breast cancer (FBC) risk remain poorly understood. While the majority of genomic studies have focused on genetic risk variants, known risk variants account for at most 30% of FBC cases. Considering that multiple genes may influence FBC risk, we hypothesized that a pathway‐based strategy examining different data types from multiple tissues could elucidate the biological basis for FBC. In this study, we performed integrated analyses of gene expression and exome‐sequencing data from peripheral blood mononuclear cells and showed that cell adhesion pathways are significantly and consistently dysregulated in women who develop FBC. The dysregulation of cell adhesion pathways in high‐risk women was also identified by pathway‐based profiling applied to normal breast tissue data from two independent cohorts. The results of our genomic analyses were validated in normal primary mammary epithelial cells from high‐risk and control women, using cell‐based functional assays, drug‐response assays, fluorescence microscopy, and Western blotting assays. Both genomic and cell‐based experiments indicate that cell–cell and cell–extracellular matrix adhesion processes seem to be disrupted in non‐malignant cells of women at high risk for FBC and suggest a potential role for these processes in FBC development.
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spelling pubmed-48125282016-04-08 Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility Piccolo, Stephen R Hoffman, Laura M Conner, Thomas Shrestha, Gajendra Cohen, Adam L Marks, Jeffrey R Neumayer, Leigh A Agarwal, Cori A Beckerle, Mary C Andrulis, Irene L Spira, Avrum E Moos, Philip J Buys, Saundra S Johnson, William Evan Bild, Andrea H Mol Syst Biol Articles The signaling events that drive familial breast cancer (FBC) risk remain poorly understood. While the majority of genomic studies have focused on genetic risk variants, known risk variants account for at most 30% of FBC cases. Considering that multiple genes may influence FBC risk, we hypothesized that a pathway‐based strategy examining different data types from multiple tissues could elucidate the biological basis for FBC. In this study, we performed integrated analyses of gene expression and exome‐sequencing data from peripheral blood mononuclear cells and showed that cell adhesion pathways are significantly and consistently dysregulated in women who develop FBC. The dysregulation of cell adhesion pathways in high‐risk women was also identified by pathway‐based profiling applied to normal breast tissue data from two independent cohorts. The results of our genomic analyses were validated in normal primary mammary epithelial cells from high‐risk and control women, using cell‐based functional assays, drug‐response assays, fluorescence microscopy, and Western blotting assays. Both genomic and cell‐based experiments indicate that cell–cell and cell–extracellular matrix adhesion processes seem to be disrupted in non‐malignant cells of women at high risk for FBC and suggest a potential role for these processes in FBC development. John Wiley and Sons Inc. 2016-03-11 /pmc/articles/PMC4812528/ /pubmed/26969729 http://dx.doi.org/10.15252/msb.20156506 Text en © 2016 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the Creative Commons Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Piccolo, Stephen R
Hoffman, Laura M
Conner, Thomas
Shrestha, Gajendra
Cohen, Adam L
Marks, Jeffrey R
Neumayer, Leigh A
Agarwal, Cori A
Beckerle, Mary C
Andrulis, Irene L
Spira, Avrum E
Moos, Philip J
Buys, Saundra S
Johnson, William Evan
Bild, Andrea H
Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
title Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
title_full Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
title_fullStr Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
title_full_unstemmed Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
title_short Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
title_sort integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4812528/
https://www.ncbi.nlm.nih.gov/pubmed/26969729
http://dx.doi.org/10.15252/msb.20156506
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