TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
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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. / Fagerholm, Rainer; Khan, Sofia; Schmidt, Marjanka K; García-Closas, Montserrat; Heikkilä, Päivi; Saarela, Jani; Beesley, Jonathan; Jamshidi, Maral; Aittomäki, Kristiina; Liu, Jianjun; Ali, H Raza; 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; 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 P D; Chenevix-Trench, Georgia; Blomqvist, Carl; Nevanlinna, Heli; kConFab/AOCS Investigators.
in: ONCOTARGET, Jahrgang 8, Nr. 11, 14.03.2017, S. 18381-18398.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer
AU - Fagerholm, Rainer
AU - Khan, Sofia
AU - Schmidt, Marjanka K
AU - García-Closas, Montserrat
AU - Heikkilä, Päivi
AU - Saarela, Jani
AU - Beesley, Jonathan
AU - Jamshidi, Maral
AU - Aittomäki, Kristiina
AU - Liu, Jianjun
AU - Ali, H Raza
AU - Andrulis, Irene L
AU - Beckmann, Matthias W
AU - Behrens, Sabine
AU - Blows, Fiona M
AU - Brenner, Hermann
AU - Chang-Claude, Jenny
AU - Couch, Fergus J
AU - Czene, Kamila
AU - Fasching, Peter A
AU - Figueroa, Jonine
AU - Floris, Giuseppe
AU - Glendon, Gord
AU - Guo, Qi
AU - Hall, Per
AU - Hallberg, Emily
AU - Hamann, Ute
AU - Holleczek, Bernd
AU - Hooning, Maartje J
AU - Hopper, John L
AU - Jager, Agnes
AU - Kabisch, Maria
AU - Keeman, Renske
AU - Kosma, Veli-Matti
AU - Lambrechts, Diether
AU - Lindblom, Annika
AU - Mannermaa, Arto
AU - Margolin, Sara
AU - Provenzano, Elena
AU - Shah, Mitul
AU - Southey, Melissa C
AU - Dennis, Joe
AU - Lush, Michael
AU - Michailidou, Kyriaki
AU - Wang, Qin
AU - Bolla, Manjeet K
AU - Dunning, Alison M
AU - Easton, Douglas F
AU - Pharoah, Paul P D
AU - Chenevix-Trench, Georgia
AU - Blomqvist, Carl
AU - Nevanlinna, Heli
AU - kConFab/AOCS Investigators
PY - 2017/3/14
Y1 - 2017/3/14
N2 - 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 × 10-5; 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 × 10-5, 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.
AB - 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 × 10-5; 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 × 10-5, 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.
KW - Journal Article
U2 - 10.18632/oncotarget.15110
DO - 10.18632/oncotarget.15110
M3 - SCORING: Journal article
C2 - 28179588
VL - 8
SP - 18381
EP - 18398
JO - ONCOTARGET
JF - ONCOTARGET
SN - 1949-2553
IS - 11
ER -