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TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer

TP53 overexpression is indicative of somatic TP53 mutations and associates with aggressive tumors and poor prognosis in breast cancer. We utilized a two-stage SNP association study to detect variants associated with breast cancer survival in a TP53-dependent manner. Initially, a genome-wide study (n...

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Autores principales: Fagerholm, Rainer, Khan, Sofia, Schmidt, Marjanka K., GarcClosas, Montserrat, Heikkilä, Päivi, Saarela, Jani, Beesley, Jonathan, Jamshidi, Maral, Aittomäki, Kristiina, Liu, Jianjun, Raza Ali, H., Andrulis, Irene L., Beckmann, Matthias W., Behrens, Sabine, Blows, Fiona M., Brenner, Hermann, Chang-Claude, Jenny, Couch, Fergus J., Czene, Kamila, Fasching, Peter A., Figueroa, Jonine, Floris, Giuseppe, Glendon, Gord, Guo, Qi, Hall, Per, Hallberg, Emily, Hamann, Ute, Holleczek, Bernd, Hooning, Maartje J., Hopper, John L., Jager, Agnes, Kabisch, Maria, Investigators, kConFab/AOCS, Keeman, Renske, Kosma, Veli-Matti, Lambrechts, Diether, Lindblom, Annika, Mannermaa, Arto, Margolin, Sara, Provenzano, Elena, Shah, Mitul, Southey, Melissa C., Dennis, Joe, Lush, Michael, Michailidou, Kyriaki, Wang, Qin, Bolla, Manjeet K., Dunning, Alison M., Easton, Douglas F., Pharoah, Paul D.P ., Chenevix-Trench, Georgia, Blomqvist, Carl, Nevanlinna, Heli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392336/
https://www.ncbi.nlm.nih.gov/pubmed/28179588
http://dx.doi.org/10.18632/oncotarget.15110
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author Fagerholm, Rainer
Khan, Sofia
Schmidt, Marjanka K.
GarcClosas, Montserrat
Heikkilä, Päivi
Saarela, Jani
Beesley, Jonathan
Jamshidi, Maral
Aittomäki, Kristiina
Liu, Jianjun
Raza Ali, H.
Andrulis, Irene L.
Beckmann, Matthias W.
Behrens, Sabine
Blows, Fiona M.
Brenner, Hermann
Chang-Claude, Jenny
Couch, Fergus J.
Czene, Kamila
Fasching, Peter A.
Figueroa, Jonine
Floris, Giuseppe
Glendon, Gord
Guo, Qi
Hall, Per
Hallberg, Emily
Hamann, Ute
Holleczek, Bernd
Hooning, Maartje J.
Hopper, John L.
Jager, Agnes
Kabisch, Maria
Investigators, kConFab/AOCS
Keeman, Renske
Kosma, Veli-Matti
Lambrechts, Diether
Lindblom, Annika
Mannermaa, Arto
Margolin, Sara
Provenzano, Elena
Shah, Mitul
Southey, Melissa C.
Dennis, Joe
Lush, Michael
Michailidou, Kyriaki
Wang, Qin
Bolla, Manjeet K.
Dunning, Alison M.
Easton, Douglas F.
Pharoah, Paul D.P .
Chenevix-Trench, Georgia
Blomqvist, Carl
Nevanlinna, Heli
author_facet Fagerholm, Rainer
Khan, Sofia
Schmidt, Marjanka K.
GarcClosas, Montserrat
Heikkilä, Päivi
Saarela, Jani
Beesley, Jonathan
Jamshidi, Maral
Aittomäki, Kristiina
Liu, Jianjun
Raza Ali, H.
Andrulis, Irene L.
Beckmann, Matthias W.
Behrens, Sabine
Blows, Fiona M.
Brenner, Hermann
Chang-Claude, Jenny
Couch, Fergus J.
Czene, Kamila
Fasching, Peter A.
Figueroa, Jonine
Floris, Giuseppe
Glendon, Gord
Guo, Qi
Hall, Per
Hallberg, Emily
Hamann, Ute
Holleczek, Bernd
Hooning, Maartje J.
Hopper, John L.
Jager, Agnes
Kabisch, Maria
Investigators, kConFab/AOCS
Keeman, Renske
Kosma, Veli-Matti
Lambrechts, Diether
Lindblom, Annika
Mannermaa, Arto
Margolin, Sara
Provenzano, Elena
Shah, Mitul
Southey, Melissa C.
Dennis, Joe
Lush, Michael
Michailidou, Kyriaki
Wang, Qin
Bolla, Manjeet K.
Dunning, Alison M.
Easton, Douglas F.
Pharoah, Paul D.P .
Chenevix-Trench, Georgia
Blomqvist, Carl
Nevanlinna, Heli
author_sort Fagerholm, Rainer
collection PubMed
description TP53 overexpression is indicative of somatic TP53 mutations and associates with aggressive tumors and poor prognosis in breast cancer. We utilized a two-stage SNP association study to detect variants associated with breast cancer survival in a TP53-dependent manner. Initially, a genome-wide study (n = 575 cases) was conducted to discover candidate SNPs for genotyping and validation in the Breast Cancer Association Consortium (BCAC). The SNPs were then tested for interaction with tumor TP53 status (n = 4,610) and anthracycline treatment (n = 17,828). For SNPs interacting with anthracycline treatment, siRNA knockdown experiments were carried out to validate candidate genes. In the test for interaction between SNP genotype and TP53 status, we identified one locus, represented by rs10916264 (p((interaction)) = 3.44 05E010(-5); FDR-adjusted p = 0.0011) in estrogen receptor (ER) positive cases. The rs10916264 AA genotype associated with worse survival among cases with ER-positive, TP53-positive tumors (hazard ratio [HR] 2.36, 95% confidence interval [C.I] 1.45 - 3.82). This is a cis-eQTL locus for FBXO28 and TP53BP2; expression levels of these genes were associated with patient survival specifically in ER-positive, TP53-mutated tumors. Additionally, the SNP rs798755 was associated with survival in interaction with anthracycline treatment (p((interaction)) = 9.57 05E010(-5), FDR-adjusted p = 0.0130). RNAi-based depletion of a predicted regulatory target gene, FAM53A, indicated that this gene can modulate doxorubicin sensitivity in breast cancer cell lines. If confirmed in independent data sets, these results may be of clinical relevance in the development of prognostic and predictive marker panels for breast cancer.
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spelling pubmed-53923362017-04-21 TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer Fagerholm, Rainer Khan, Sofia Schmidt, Marjanka K. GarcClosas, Montserrat Heikkilä, Päivi Saarela, Jani Beesley, Jonathan Jamshidi, Maral Aittomäki, Kristiina Liu, Jianjun Raza Ali, H. Andrulis, Irene L. Beckmann, Matthias W. Behrens, Sabine Blows, Fiona M. Brenner, Hermann Chang-Claude, Jenny Couch, Fergus J. Czene, Kamila Fasching, Peter A. Figueroa, Jonine Floris, Giuseppe Glendon, Gord Guo, Qi Hall, Per Hallberg, Emily Hamann, Ute Holleczek, Bernd Hooning, Maartje J. Hopper, John L. Jager, Agnes Kabisch, Maria Investigators, kConFab/AOCS Keeman, Renske Kosma, Veli-Matti Lambrechts, Diether Lindblom, Annika Mannermaa, Arto Margolin, Sara Provenzano, Elena Shah, Mitul Southey, Melissa C. Dennis, Joe Lush, Michael Michailidou, Kyriaki Wang, Qin Bolla, Manjeet K. Dunning, Alison M. Easton, Douglas F. Pharoah, Paul D.P . Chenevix-Trench, Georgia Blomqvist, Carl Nevanlinna, Heli Oncotarget Research Paper TP53 overexpression is indicative of somatic TP53 mutations and associates with aggressive tumors and poor prognosis in breast cancer. We utilized a two-stage SNP association study to detect variants associated with breast cancer survival in a TP53-dependent manner. Initially, a genome-wide study (n = 575 cases) was conducted to discover candidate SNPs for genotyping and validation in the Breast Cancer Association Consortium (BCAC). The SNPs were then tested for interaction with tumor TP53 status (n = 4,610) and anthracycline treatment (n = 17,828). For SNPs interacting with anthracycline treatment, siRNA knockdown experiments were carried out to validate candidate genes. In the test for interaction between SNP genotype and TP53 status, we identified one locus, represented by rs10916264 (p((interaction)) = 3.44 05E010(-5); FDR-adjusted p = 0.0011) in estrogen receptor (ER) positive cases. The rs10916264 AA genotype associated with worse survival among cases with ER-positive, TP53-positive tumors (hazard ratio [HR] 2.36, 95% confidence interval [C.I] 1.45 - 3.82). This is a cis-eQTL locus for FBXO28 and TP53BP2; expression levels of these genes were associated with patient survival specifically in ER-positive, TP53-mutated tumors. Additionally, the SNP rs798755 was associated with survival in interaction with anthracycline treatment (p((interaction)) = 9.57 05E010(-5), FDR-adjusted p = 0.0130). RNAi-based depletion of a predicted regulatory target gene, FAM53A, indicated that this gene can modulate doxorubicin sensitivity in breast cancer cell lines. If confirmed in independent data sets, these results may be of clinical relevance in the development of prognostic and predictive marker panels for breast cancer. Impact Journals LLC 2017-02-05 /pmc/articles/PMC5392336/ /pubmed/28179588 http://dx.doi.org/10.18632/oncotarget.15110 Text en Copyright: © 2017 Fagerholm et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Fagerholm, Rainer
Khan, Sofia
Schmidt, Marjanka K.
GarcClosas, Montserrat
Heikkilä, Päivi
Saarela, Jani
Beesley, Jonathan
Jamshidi, Maral
Aittomäki, Kristiina
Liu, Jianjun
Raza Ali, H.
Andrulis, Irene L.
Beckmann, Matthias W.
Behrens, Sabine
Blows, Fiona M.
Brenner, Hermann
Chang-Claude, Jenny
Couch, Fergus J.
Czene, Kamila
Fasching, Peter A.
Figueroa, Jonine
Floris, Giuseppe
Glendon, Gord
Guo, Qi
Hall, Per
Hallberg, Emily
Hamann, Ute
Holleczek, Bernd
Hooning, Maartje J.
Hopper, John L.
Jager, Agnes
Kabisch, Maria
Investigators, kConFab/AOCS
Keeman, Renske
Kosma, Veli-Matti
Lambrechts, Diether
Lindblom, Annika
Mannermaa, Arto
Margolin, Sara
Provenzano, Elena
Shah, Mitul
Southey, Melissa C.
Dennis, Joe
Lush, Michael
Michailidou, Kyriaki
Wang, Qin
Bolla, Manjeet K.
Dunning, Alison M.
Easton, Douglas F.
Pharoah, Paul D.P .
Chenevix-Trench, Georgia
Blomqvist, Carl
Nevanlinna, Heli
TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
title TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
title_full TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
title_fullStr TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
title_full_unstemmed TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
title_short TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
title_sort tp53-based interaction analysis identifies cis-eqtl variants for tp53bp2, fbxo28, and fam53a that associate with survival and treatment outcome in breast cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392336/
https://www.ncbi.nlm.nih.gov/pubmed/28179588
http://dx.doi.org/10.18632/oncotarget.15110
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