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Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium

Overview of attention for article published in Clinical Cancer Research, November 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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8 X users
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1 Facebook page

Citations

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31 Dimensions

Readers on

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89 Mendeley
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1 CiteULike
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

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.

Geographical breakdown

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

Demographic breakdown

Readers by professional status Count As %
Researcher 20 22%
Student > Master 8 9%
Student > Ph. D. Student 7 8%
Other 6 7%
Professor 5 6%
Other 16 18%
Unknown 27 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 22%
Medicine and Dentistry 16 18%
Agricultural and Biological Sciences 8 9%
Unspecified 3 3%
Psychology 3 3%
Other 10 11%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#7,769,943
of 25,390,692 outputs
Outputs from Clinical Cancer Research
#6,814
of 13,231 outputs
Outputs of similar age
#109,320
of 391,604 outputs
Outputs of similar age from Clinical Cancer Research
#69
of 176 outputs
Altmetric has tracked 25,390,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 47th percentile – i.e., 47% 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 391,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.