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1 Facebook page

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89 Mendeley
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1 CiteULike
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Article details
Title
Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium
Published in
Clinical Cancer Research, November 2015
DOI 10.1158/1078-0432.ccr-15-0632
Pubmed ID
Authors

Sharon E. Johnatty, on behalf of the Australian Ovarian Cancer Study Group, Jonathan P. Tyrer, Siddhartha Kar, Jonathan Beesley, Yi Lu, Bo Gao, Peter A. Fasching, Alexander Hein, Arif B. Ekici, Matthias W. Beckmann, Diether Lambrechts, Els Van Nieuwenhuysen, Ignace Vergote, Sandrina Lambrechts, Mary Anne Rossing, Jennifer A. Doherty, Jenny Chang-Claude, Francesmary Modugno, Roberta B. Ness, Kirsten B. Moysich, Douglas A. Levine, Lambertus A. Kiemeney, Leon F.A.G. Massuger, Jacek Gronwald, Jan Lubiński, Anna Jakubowska, Cezary Cybulski, Louise Brinton, Jolanta Lissowska, Nicolas Wentzensen, Honglin Song, Valerie Rhenius, Ian Campbell, Diana Eccles, Weiva Sieh, Alice S. Whittemore, Valerie McGuire, Joseph H. Rothstein, Rebecca Sutphen, Hoda Anton-Culver, Argyrios Ziogas, Simon A. Gayther, Aleksandra Gentry-Maharaj, Usha Menon, Susan J. Ramus, Celeste L. Pearce, Malcolm C. Pike, Daniel O. Stram, Anna H. Wu, Jolanta Kupryjanczyk, Agnieszka Dansonka-Mieszkowska, Iwona K. Rzepecka, Beata Spiewankiewicz, Marc T. Goodman, Lynne R. Wilkens, Michael E. Carney, Pamela J. Thompson, Florian Heitz, Andreas du Bois, Ira Schwaab, Philipp Harter, Jacobus Pisterer, Peter Hillemanns, on behalf of the AGO Study Group, Beth Y. Karlan, Christine Walsh, Jenny Lester, Sandra Orsulic, Stacey J. Winham, Madalene Earp, Melissa C. Larson, Zachary C. Fogarty, Estrid Høgdall, Allan Jensen, Susanne Kruger Kjaer, Brooke L. Fridley, Julie M. Cunningham, Robert A. Vierkant, Joellen M. Schildkraut, Edwin S. Iversen, Kathryn L. Terry, Daniel W. Cramer, Elisa V. Bandera, Irene Orlow, Tanja Pejovic, Yukie Bean, Claus Høgdall, Lene Lundvall, Ian McNeish, James Paul, Karen Carty, Nadeem Siddiqui, Rosalind Glasspool, Thomas Sellers, Catherine Kennedy, Yoke-Eng Chiew, Andrew Berchuck, Stuart MacGregor, Paul D.P. Pharoah, Ellen L. Goode, Anna deFazio, Penelope M. Webb, Georgia Chenevix-Trench

Abstract

Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. We analyzed ~2.8 million genotyped and imputed SNPs from the iCOGS experiment for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent firstline treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥4 cycles of paclitaxel and carboplatin at standard doses. We evaluated the top SNPs in 4,434 EOC patients including patients from The Cancer Genome Atlas. Additionally we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. Five SNPs were significantly associated (p≤1.0x10(-5)) with poorer outcomes in at least one of the four analyses, three of which, rs4910232 (11p15.3), rs2549714 (16q23) and rs6674079 (1q22) were located in long non-coding RNAs (lncRNAs) RP11-179A10.1, RP11-314O13.1 and RP11-284F21.8 respectively (p≤7.1x10(-6)). ENCODE ChIP-seq data at 1q22 for normal ovary shows evidence of histone modification around RP11-284F21.8, and rs6674079 is perfectly correlated with another SNP within the super-enhancer MEF2D, expression levels of which were reportedly associated with prognosis in another solid tumor. YAP1- and WWTR1 (TAZ)-stimulated gene expression, and HDL-mediated lipid transport pathways were associated with PFS and OS, respectively, in the cohort who had standard chemotherapy (pGSEA≤6x10(-3)). We have identified SNPs in three lncRNAs that might be important targets for novel EOC therapies.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Luxembourg 1 1%
Australia 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 20 22%
Student > Ph. D. Student 8 9%
Student > Master 8 9%
Other 6 7%
Student > Doctoral Student 5 6%
Other 13 15%
Unknown 29 33%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 22%
Medicine and Dentistry 16 18%
Agricultural and Biological Sciences 9 10%
Psychology 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 8 9%
Unknown 31 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2015.
All research outputs
#21,599,039
of 34,350,842 outputs
Outputs from Clinical Cancer Research
#14,574
of 17,842 outputs
Outputs of similar age
#258,255
of 444,719 outputs
Outputs of similar age from Clinical Cancer Research
#102
of 171 outputs
Altmetric has tracked 34,350,842 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,842 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 444,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.