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Abstract 4636: Investigation of exome variants associated with overall survival in ovarian cancer

Publication ,  Conference
Winham, SJ; Fridley, BL; Larson, MC; Fogarty, Z; Berchuck, A; Chen, YA; Lin, H-Y; Chenevix-Trench, G; Permuth-Wey, J; Sellers, TA; Pirie, A; Goode, EL
Published in: Cancer Research
August 1, 2015

Many germline genetic variants have been found to be associated with susceptibility to epithelial ovarian cancer (EOC), but currently few associations have been identified for EOC outcomes such as overall survival. In the absence of evidence for common germline markers, it is possible that rare variants not captured in GWAS arrays may be associated with overall survival. We hypothesize that rare variants, either individually or combined across a gene, may be associated with overall survival in EOC.We utilized data from two genotyping projects of the Ovarian Cancer Association Consortium (OCAC) that used commercial exome-based arrays. The primary sample, genotyped on the Affymetrix Axiom Exome Array at 227,892 standard and custom variants, consisted of 14 independent EOC studies (4293 cases; 2257 deaths). The secondary sample, genotyped on the Illumina Infinium HumanExome BeadChip at 114,620 variants, consisted of six additional EOC studies (1744 cases; 1027 deaths). Both sets were analyzed using Cox proportional hazards regression to determine the association of each variant with overall survival time. Meta-analysis was conducted across samples at 73,203 overlapping variants. Gene-level tests of over 18,000 genes were also conducted using burden tests and Sequencing Kernel Association Tests (SKAT) adapted for Cox proportional hazards models. Gene-level tests were conducted separately for the primary and secondary cases and then were meta-analyzed. Models were adjusted for age, site, and three principle components.Six individual variants had meta-analysis p-values < 1.0E-4, five of which were rare (MAF < 0.003). Common variant rs8170 (MAF = 0.2) in BABAM1 encoding BRISC and BRCA1 A complex member 1 - previously reported to be associated with EOC risk_showed evidence of association with overall survival (Pmeta = 1.5E-5) and consistent estimates of effect size across both samples (HR1 = 1.18, HR2 = 1.19). In imputed genotype data from over 18,000 subjects from OCAC genotyped on the COGS array, this association reaches genome-wide significance (HR = 1.15, P = 4.7E-9). Five genes had gene-level meta-analysis p-values < 1.0E-4, including top ranked ATG2B (p = 1.1E-6), an autophagy gene important for apoptosis; zinc finger protein PEG3 (p = 1.8E-5), playing a role in autophagy and down-regulated in EOC; helicase-like transcription factor HLTF (p = 1.9E-5), involved in post-replication DNA repair; mitochondrial fission regulator 1-like gene FAM54B (p = 3.1E-5); and T-cell surface glycoprotein CD1E (p = 8.8E-5).With over 6000 EOC cases in the primary and secondary samples, this is the largest genome-wide assessment of rare variant genetic associations with EOC overall survival. Variant rs8170 in BABAM1, a necessary component of the BRCA1 complex, is associated with overall survival. Single variant and gene-level analyses provide complementary approaches, suggesting additional candidates that warrant follow-up study.Citation Format: Stacey J. Winham, Brooke L. Fridley, Melissa C. Larson, Zachary Fogarty, Andrew Berchuck, Yian Ann Chen, Hui-Yi Lin, Georgia Chenevix-Trench, Jenny Permuth-Wey, Thomas A. Sellers, Ailith Pirie, Ellen L. Goode, Ovarian Cancer Association Consortium. Investigation of exome variants associated with overall survival in ovarian cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4636. doi:10.1158/1538-7445.AM2015-4636

Duke Scholars

Published In

Cancer Research

DOI

EISSN

1538-7445

ISSN

0008-5472

Publication Date

August 1, 2015

Volume

75

Issue

15_Supplement

Start / End Page

4636 / 4636

Publisher

American Association for Cancer Research (AACR)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
  • 1112 Oncology and Carcinogenesis
 

Citation

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MLA
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Winham, S. J., Fridley, B. L., Larson, M. C., Fogarty, Z., Berchuck, A., Chen, Y. A., … Goode, E. L. (2015). Abstract 4636: Investigation of exome variants associated with overall survival in ovarian cancer. In Cancer Research (Vol. 75, pp. 4636–4636). American Association for Cancer Research (AACR). https://doi.org/10.1158/1538-7445.am2015-4636
Winham, Stacey J., Brooke L. Fridley, Melissa C. Larson, Zachary Fogarty, Andrew Berchuck, Yian Ann Chen, Hui-Yi Lin, et al. “Abstract 4636: Investigation of exome variants associated with overall survival in ovarian cancer.” In Cancer Research, 75:4636–4636. American Association for Cancer Research (AACR), 2015. https://doi.org/10.1158/1538-7445.am2015-4636.
Winham SJ, Fridley BL, Larson MC, Fogarty Z, Berchuck A, Chen YA, et al. Abstract 4636: Investigation of exome variants associated with overall survival in ovarian cancer. In: Cancer Research. American Association for Cancer Research (AACR); 2015. p. 4636–4636.
Winham, Stacey J., et al. “Abstract 4636: Investigation of exome variants associated with overall survival in ovarian cancer.” Cancer Research, vol. 75, no. 15_Supplement, American Association for Cancer Research (AACR), 2015, pp. 4636–4636. Crossref, doi:10.1158/1538-7445.am2015-4636.
Winham SJ, Fridley BL, Larson MC, Fogarty Z, Berchuck A, Chen YA, Lin H-Y, Chenevix-Trench G, Permuth-Wey J, Sellers TA, Pirie A, Goode EL. Abstract 4636: Investigation of exome variants associated with overall survival in ovarian cancer. Cancer Research. American Association for Cancer Research (AACR); 2015. p. 4636–4636.

Published In

Cancer Research

DOI

EISSN

1538-7445

ISSN

0008-5472

Publication Date

August 1, 2015

Volume

75

Issue

15_Supplement

Start / End Page

4636 / 4636

Publisher

American Association for Cancer Research (AACR)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
  • 1112 Oncology and Carcinogenesis