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Risk of Ovarian Cancer and the NF-κB Pathway: Genetic Association with IL1A and TNFSF10

Overview of attention for article published in Cancer Research, February 2014
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Title
Risk of Ovarian Cancer and the NF-κB Pathway: Genetic Association with IL1A and TNFSF10
Published in
Cancer Research, February 2014
DOI 10.1158/0008-5472.can-13-1051
Pubmed ID
Authors

Bridget Charbonneau, Matthew S. Block, William R. Bamlet, Robert A. Vierkant, Kimberly R. Kalli, Zachary Fogarty, David N. Rider, Thomas A. Sellers, Shelley S. Tworoger, Elizabeth Poole, Harvey A. Risch, Helga B. Salvesen, Lambertus A. Kiemeney, Laura Baglietto, Graham G. Giles, Gianluca Severi, Britton Trabert, Nicolas Wentzensen, Georgia Chenevix-Trench, for AOCS/ACS group, Alice S. Whittemore, Weiva Sieh, Jenny Chang-Claude, Elisa V. Bandera, Irene Orlow, Kathryn Terry, Marc T. Goodman, Pamela J. Thompson, Linda S. Cook, Mary Anne Rossing, Roberta B. Ness, Steven A. Narod, Jolanta Kupryjanczyk, Karen Lu, Ralf Butzow, Thilo Dörk, Tanja Pejovic, Ian Campbell, Nhu D. Le, Clareann H. Bunker, Natalia Bogdanova, Ingo B. Runnebaum, Diana Eccles, James Paul, Anna H. Wu, Simon A. Gayther, Estrid Hogdall, Florian Heitz, Stanley B. Kaye, Beth Y. Karlan, Hoda Anton-Culver, Jacek Gronwald, Claus K. Hogdall, Diether Lambrechts, Peter A. Fasching, Usha Menon, Joellen Schildkraut, Celeste Leigh Pearce, Douglas A. Levine, Susanne Kruger Kjaer, Daniel Cramer, James M. Flanagan, Catherine M. Phelan, Robert Brown, Leon F.A.G. Massuger, Honglin Song, Jennifer A. Doherty, Camilla Krakstad, Dong Liang, Kunle Odunsi, Andrew Berchuck, Allan Jensen, Jan Lubiński, Heli Nevanlinna, Yukie T. Bean, Galina Lurie, Argyrios Ziogas, Christine Walsh, Evelyn Despierre, Louise Brinton, Alexander Hein, Anja Rudolph, Agnieszka Dansonka-Mieszkowska, Sara H. Olson, Philipp Harter, Jonathan Tyrer, Allison F. Vitonis, Angela Brooks-Wilson, Katja K. Aben, Malcolm C. Pike, Susan J. Ramus, Elisabeth Wik, Cezary Cybulski, Jie Lin, Lara Sucheston, Robert Edwards, Valerie McGuire, Jenny Lester, Andreas du Bois, Lene Lundvall, Shan Wang-Gohrke, Lukasz M. Szafron, Sandrina Lambrechts, Hannah Yang, Matthias W. Beckmann, Liisa M. Pelttari, Anne M. Van Altena, David van den Berg, Mari K. Halle, Aleksandra Gentry-Maharaj, Ira Schwaab, Urmila Chandran, Janusz Menkiszak, Arif B. Ekici, Lynne R. Wilkens, Arto Leminen, Francesmary Modugno, Grace Friel, Joseph H. Rothstein, Ignace Vergote, Montserrat Garcia-Closas, Michelle A.T. Hildebrandt, Piotr Sobiczewski, Linda E. Kelemen, Paul D.P. Pharoah, Kirsten Moysich, Keith L. Knutson, Julie M. Cunningham, Brooke L. Fridley, Ellen L. Goode

Abstract

A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1α (IL1A) is both regulated by and able to activate NF-κB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-κB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76-0.93; P = 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75-0.95; P = 0.006). Considering a multiple-testing-corrected significance threshold of P < 2.5 × 10(-5), only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79-0.91; P = 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Netherlands 1 1%
United States 1 1%
Unknown 87 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 14 16%
Professor 9 10%
Other 7 8%
Student > Master 6 7%
Other 12 13%
Unknown 20 22%
Readers by discipline Count As %
Medicine and Dentistry 25 28%
Agricultural and Biological Sciences 16 18%
Biochemistry, Genetics and Molecular Biology 14 16%
Immunology and Microbiology 5 6%
Social Sciences 2 2%
Other 6 7%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2014.
All research outputs
#13,411,291
of 22,760,687 outputs
Outputs from Cancer Research
#13,202
of 17,849 outputs
Outputs of similar age
#162,390
of 307,380 outputs
Outputs of similar age from Cancer Research
#95
of 154 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,849 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 24th percentile – i.e., 24% 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 307,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.