Profiles of Genomic Instability in High-Grade Serous Ovarian Cancer Predict Treatment Outcome
Publication: Research - peer-review › Journal article – Annual report year: 2012
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Profiles of Genomic Instability in High-Grade Serous Ovarian Cancer Predict Treatment Outcome. / Wang, Zhigang C.; Birkbak, Nicolai Juul; Culhane, Aedín C.; Drapkin, Ronny; Fatima, Aquila; Tian, Ruiyang; Schwede, Matthew; Alsop, Kathryn; Daniels, Kathryn E.; Piao, Huiying; Liu, Joyce; Etemadmoghadam, Dariush; Miron, Alexander; Salvesen, Helga B.; Mitchell, Gillian; DeFazio, Anna; Quackenbush, John; Berkowitz, Ross S.; Iglehart, J. Dirk; Bowtell, David D.L.; Matulonis, Ursula A.
In: Clinical Cancer Research, Vol. 18, No. 20, 2012, p. 5806-5815.Publication: Research - peer-review › Journal article – Annual report year: 2012
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TY - JOUR
T1 - Profiles of Genomic Instability in High-Grade Serous Ovarian Cancer Predict Treatment Outcome
A1 - Wang,Zhigang C.
A1 - Birkbak,Nicolai Juul
A1 - Culhane,Aedín C.
A1 - Drapkin,Ronny
A1 - Fatima,Aquila
A1 - Tian,Ruiyang
A1 - Schwede,Matthew
A1 - Alsop,Kathryn
A1 - Daniels,Kathryn E.
A1 - Piao,Huiying
A1 - Liu,Joyce
A1 - Etemadmoghadam,Dariush
A1 - Miron,Alexander
A1 - Salvesen,Helga B.
A1 - Mitchell,Gillian
A1 - DeFazio,Anna
A1 - Quackenbush,John
A1 - Berkowitz,Ross S.
A1 - Iglehart,J. Dirk
A1 - Bowtell,David D.L.
A1 - Matulonis,Ursula A.
AU - Wang,Zhigang C.
AU - Birkbak,Nicolai Juul
AU - Culhane,Aedín C.
AU - Drapkin,Ronny
AU - Fatima,Aquila
AU - Tian,Ruiyang
AU - Schwede,Matthew
AU - Alsop,Kathryn
AU - Daniels,Kathryn E.
AU - Piao,Huiying
AU - Liu,Joyce
AU - Etemadmoghadam,Dariush
AU - Miron,Alexander
AU - Salvesen,Helga B.
AU - Mitchell,Gillian
AU - DeFazio,Anna
AU - Quackenbush,John
AU - Berkowitz,Ross S.
AU - Iglehart,J. Dirk
AU - Bowtell,David D.L.
AU - Matulonis,Ursula A.
PB - American Association for Cancer Research (A A C R)
PY - 2012
Y1 - 2012
N2 - Purpose: High-grade serous cancer (HGSC) is the most common cancer of the ovary and is characterized by chromosomal instability. Defects in homologous recombination repair (HRR) are associated with genomic instability in HGSC, and are exploited by therapy targeting DNA repair. Defective HRR causes uniparental deletions and loss of heterozygosity (LOH). Our purpose is to profile LOH in HGSC and correlate our findings to clinical outcome, and compare HGSC and high-grade breast cancers.Experimental Design: We examined LOH and copy number changes using single nucleotide polymorphism array data from three HGSC cohorts and compared results to a cohort of high-grade breast cancers. The LOH profiles in HGSC were matched to chemotherapy resistance and progression-free survival (PFS).Results: LOH-based clustering divided HGSC into two clusters. The major group displayed extensive LOH and was further divided into two subgroups. The second group contained remarkably less LOH. BRCA1 promoter methylation was associated with the major group. LOH clusters were reproducible when validated in two independent HGSC datasets. LOH burden in the major cluster of HGSC was similar to triple-negative, and distinct from other high-grade breast cancers. Our analysis revealed an LOH cluster with lower treatment resistance and a significant correlation between LOH burden and PFS.Conclusions: Separating HGSC by LOH-based clustering produces remarkably stable subgroups in three different cohorts. Patients in the various LOH clusters differed with respect to chemotherapy resistance, and the extent of LOH correlated with PFS. LOH burden may indicate vulnerability to treatment targeting DNA repair, such as PARP1 inhibitors. Clin Cancer Res; 18(20); 5806–15. ©2012 AACR.
AB - Purpose: High-grade serous cancer (HGSC) is the most common cancer of the ovary and is characterized by chromosomal instability. Defects in homologous recombination repair (HRR) are associated with genomic instability in HGSC, and are exploited by therapy targeting DNA repair. Defective HRR causes uniparental deletions and loss of heterozygosity (LOH). Our purpose is to profile LOH in HGSC and correlate our findings to clinical outcome, and compare HGSC and high-grade breast cancers.Experimental Design: We examined LOH and copy number changes using single nucleotide polymorphism array data from three HGSC cohorts and compared results to a cohort of high-grade breast cancers. The LOH profiles in HGSC were matched to chemotherapy resistance and progression-free survival (PFS).Results: LOH-based clustering divided HGSC into two clusters. The major group displayed extensive LOH and was further divided into two subgroups. The second group contained remarkably less LOH. BRCA1 promoter methylation was associated with the major group. LOH clusters were reproducible when validated in two independent HGSC datasets. LOH burden in the major cluster of HGSC was similar to triple-negative, and distinct from other high-grade breast cancers. Our analysis revealed an LOH cluster with lower treatment resistance and a significant correlation between LOH burden and PFS.Conclusions: Separating HGSC by LOH-based clustering produces remarkably stable subgroups in three different cohorts. Patients in the various LOH clusters differed with respect to chemotherapy resistance, and the extent of LOH correlated with PFS. LOH burden may indicate vulnerability to treatment targeting DNA repair, such as PARP1 inhibitors. Clin Cancer Res; 18(20); 5806–15. ©2012 AACR.
U2 - 10.1158/1078-0432.CCR-12-0857
DO - 10.1158/1078-0432.CCR-12-0857
JO - Clinical Cancer Research
JF - Clinical Cancer Research
SN - 1078-0432
IS - 20
VL - 18
SP - 5806
EP - 5815
ER -