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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer
|
|---|---|
| Published in |
Oncotarget, June 2016
|
| DOI | 10.18632/oncotarget.10215 |
| Pubmed ID | |
| Authors |
Shalaka S. Hampras, Lara E. Sucheston-Campbell, Rikki Cannioto, Jenny Chang-Claude, Francesmary Modugno, Thilo Dörk, Peter Hillemanns, Leah Preus, Keith L. Knutson, Paul K. Wallace, Chi-Chen Hong, Grace Friel, Warren Davis, Mary Nesline, Celeste L. Pearce, Linda E. Kelemen, Marc T. Goodman, Elisa V. Bandera, Kathryn L. Terry, Nils Schoof, Kevin H. Eng, Alyssa Clay, Prashant K. Singh, Janine M. Joseph, Katja K.H. Aben, Hoda Anton-Culver, Natalia Antonenkova, Helen Baker, Yukie Bean, Matthias W. Beckmann, Maria Bisogna, Line Bjorge, Natalia Bogdanova, Louise A. Brinton, Angela Brooks-Wilson, Fiona Bruinsma, Ralf Butzow, Ian G. Campbell, Karen Carty, Linda S. Cook, Daniel W. Cramer, Cezary Cybulski, Agnieszka Dansonka-Mieszkowska, Joe Dennis, Evelyn Despierre, Ed Dicks, Jennifer A. Doherty, Andreas du Bois, Matthias Dürst, Doug Easton, Diana Eccles, Robert P. Edwards, Arif B. Ekici, Peter A. Fasching, Brooke L. Fridley, Yu-Tang Gao, Aleksandra Gentry-Maharaj, Graham G. Giles, Rosalind Glasspool, Jacek Gronwald, Patricia Harrington, Philipp Harter, Hanis Nazihah Hasmad, Alexander Hein, Florian Heitz, Michelle A.T. Hildebrandt, Claus Hogdall, Estrid Hogdall, Satoyo Hosono, Edwin S. Iversen, Anna Jakubowska, Allan Jensen, Bu-Tian Ji, Beth Y. Karlan, Melissa Kellar, Joseph L. Kelley, Lambertus A. Kiemeney, Rüdiger Klapdor, Nonna Kolomeyevskaya, Camilla Krakstad, Susanne K. Kjaer, Bridget Kruszka, Jolanta Kupryjanczyk, Diether Lambrechts, Sandrina Lambrechts, Nhu D. Le, Alice W. Lee, Shashikant Lele, Arto Leminen, Jenny Lester, Douglas A. Levine, Dong Liang, Jolanta Lissowska, Song Liu, Karen Lu, Jan Lubinski, Lene Lundvall, Leon F.A.G. Massuger, Keitaro Matsuo, Valeria McGuire, John R. McLaughlin, Ian McNeish, Usha Menon, Joanna Moes-Sosnowska, Steven A. Narod, Lotte Nedergaard, Heli Nevalinna, Stefan Nickels, Heli Nevanlinna, Sara H. Olson, Irene Orlow, Rachel Palmieri Weber, James Paul, Tanja Pejovic, Liisa M. Pelttari, Barbara Perkins, Jenny Permuth-Wey, Malcolm C. Pike, Joanna Plisiecka-Halasa, Elizabeth M. Poole, Harvey A. Risch, Mary Anne Rossing, Joseph H. Rothstein, Anja Rudolph, Ingo B. Runnebaum, Iwona K. Rzepecka, Helga B. Salvesen, Eva Schernhammer, Kristina Schmitt, Ira Schwaab, Xiao-Ou Shu, Yurii B. Shvetsov, Nadeem Siddiqui, Weiva Sieh, Honglin Song, Melissa C. Southey, Ingvild L. Tangen, Soo-Hwang Teo, Pamela J. Thompson, Agnieszka Timorek, Ya-Yu Tsai, Shelley S. Tworoger, Jonathan Tyrer, Anna M. van Altena, Ignace Vergote, Robert A. Vierkant, Christine Walsh, Shan Wang-Gohrke, Nicolas Wentzensen, Alice S. Whittemore, Kristine G. Wicklund, Lynne R. Wilkens, Anna H. Wu, Xifeng Wu, Yin-Ling Woo, Hannah Yang, Wei Zheng, Argyrios Ziogas, Simon A. Gayther, Susan J. Ramus, Thomas A. Sellers, Joellen M. Schildkraut, Catherine M. Phelan, Andrew Berchuck, Georgia Chenevix-Trench, Julie M. Cunningham, Paul P. Pharoah, Roberta B. Ness, Kunle Odunsi, Ellen L. Goode, Kirsten B. Moysich |
| Abstract |
Regulatory T (Treg) cells, a subset of CD4+ T lymphocytes, are mediators of immunosuppression in cancer, and, thus, variants in genes encoding Treg cell immune molecules could be associated with ovarian cancer. In a population of 15,596 epithelial ovarian cancer (EOC) cases and 23,236 controls, we measured genetic associations of 1,351 SNPs in Treg cell pathway genes with odds of ovarian cancer and tested pathway and gene-level associations, overall and by histotype, for the 25 genes, using the admixture likelihood (AML) method. The most significant single SNP associations were tested for correlation with expression levels in 44 ovarian cancer patients. The most significant global associations for all genes in the pathway were seen in endometrioid (p = 0.082) and clear cell (p = 0.083), with the most significant gene level association seen with TGFBR2 (p = 0.001) and clear cell EOC. Gene associations with histotypes at p < 0.05 included: IL12 (p = 0.005 and p = 0.008, serous and high-grade serous, respectively), IL8RA (p = 0.035, endometrioid and mucinous), LGALS1 (p = 0.03, mucinous), STAT5B (p = 0.022, clear cell), TGFBR1 (p = 0.021 endometrioid) and TGFBR2 (p = 0.017 and p = 0.025, endometrioid and mucinous, respectively). Common inherited gene variation in Treg cell pathways shows some evidence of germline genetic contribution to odds of EOC that varies by histologic subtype and may be associated with mRNA expression of immune-complex receptor in EOC patients. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Professor | 7 | 15% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 15 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 28% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Social Sciences | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 17 | 36% |
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 25 October 2016.
All research outputs
#14,427,926
of 23,577,654 outputs
Outputs from Oncotarget
#5,558
of 14,436 outputs
Outputs of similar age
#198,777
of 355,193 outputs
Outputs of similar age from Oncotarget
#396
of 1,263 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,436 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 355,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,263 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 67% of its contemporaries.