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Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas

Overview of attention for article published in Cell, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
71 X users
patent
3 patents
facebook
5 Facebook pages
wikipedia
5 Wikipedia pages
guideline
1 clinical guideline source

Readers on

mendeley
790 Mendeley
citeulike
1 CiteULike
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Article details
Title
Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas
Published in
Cell, November 2017
DOI 10.1016/j.cell.2017.10.014
Pubmed ID
Authors

The Cancer Genome Atlas Research Network, Adam Abeshouse, Clement Adebamowo, Sally N. Adebamowo, Rehan Akbani, Teniola Akeredolu, Adrian Ally, Matthew L. Anderson, Pavana Anur, Elizabeth L. Appelbaum, Joshua Armenia, J. Todd Auman, Matthew H. Bailey, Laurence Baker, Miruna Balasundaram, Saianand Balu, Floris P. Barthel, John Bartlett, Stephen B. Baylin, Madhusmita Behera, Dmitry Belyaev, Joesph Bennett, Christopher Benz, Rameen Beroukhim, Michael Birrer, Thèrése Bocklage, Tom Bodenheimer, Lori Boice, Moiz S. Bootwalla, Jay Bowen, Reanne Bowlby, Jeff Boyd, Andrew S. Brohl, Denise Brooks, Lauren Byers, Rebecca Carlsen, Patricia Castro, Hsiao-Wei Chen, Andrew D. Cherniack, Fréderic Chibon, Lynda Chin, Juok Cho, Eric Chuah, Sudha Chudamani, Carrie Cibulskis, Lee A.D. Cooper, Leslie Cope, Matthew G. Cordes, Daniel Crain, Erin Curley, Ludmila Danilova, Fanny Dao, Ian J. Davis, Lara E. Davis, Timothy Defreitas, Keith Delman, John A. Demchok, George D. Demetri, Elizabeth G. Demicco, Noreen Dhalla, Lixia Diao, Li Ding, Phil DiSaia, Peter Dottino, Leona A. Doyle, Esther Drill, Michael Dubina, Jennifer Eschbacher, Konstantin Fedosenko, Ina Felau, Martin L. Ferguson, Scott Frazer, Catrina C. Fronick, Victoria Fulidou, Lucinda A. Fulton, Robert S. Fulton, Stacey B. Gabriel, Jianjiong Gao, Qingsong Gao, Johanna Gardner, Julie M. Gastier-Foster, Carl M. Gay, Nils Gehlenborg, Mark Gerken, Gad Getz, Andrew K. Godwin, Eryn M. Godwin, Elena Gordienko, Juneko E. Grilley-Olson, David A. Gutman, David H. Gutmann, D. Neil Hayes, Apurva M. Hegde, David I. Heiman, Zachary Heins, Carmen Helsel, Austin J. Hepperla, Kelly Higgins, Katherine A. Hoadley, Shital Hobensack, Robert A. Holt, Dave B. Hoon, Jason L. Hornick, Alan P. Hoyle, Xin Hu, Mei Huang, Carolyn M. Hutter, Mary Iacocca, Davis R. Ingram, Michael Ittmann, Lisa Iype, Stuart R. Jefferys, Kevin B. Jones, Corbin D. Jones, Steven J.M. Jones, Tamara Kalir, Beth Y. Karlan, Apollon Karseladze, Katayoon Kasaian, Jaegil Kim, Ritika Kundra, Hanluen Kuo, Marc Ladanyi, Phillip H. Lai, Peter W. Laird, Erik Larsson, Michael S. Lawrence, Alexander J. Lazar, Sanghoon Lee, Darlene Lee, Kjong-Van Lehmann, Kristen M. Leraas, Jenny Lester, Douglas A. Levine, Irene Li, Tara M. Lichtenberg, Pei Lin, Jia Liu, Wenbin Liu, Eric Minwei Liu, Laxmi Lolla, Yiling Lu, Yussanne Ma, Rashna Madan, Dennis T. Maglinte, Anthony Magliocco, Robert G. Maki, David Mallery, Georgy Manikhas, Elaine R. Mardis, Armaz Mariamidze, Marco A. Marra, John A. Martignetti, Cathleen Martinez, Michael Mayo, Michael D. McLellan, Sam Meier, Shaowu Meng, Matthew Meyerson, Piotr A. Mieczkowski, Christopher A. Miller, Gordon B. Mills, Richard A. Moore, Scott Morris, Lisle E. Mose, Evgeny Mozgovoy, Andrew J. Mungall, Karen Mungall, Michael Nalisnik, Rashi Naresh, Yulia Newton, Michael S. Noble, Janet E. Novak, Angelica Ochoa, Narciso Olvera, Taofeek K. Owonikoko, Oxana Paklina, Jeremy Parfitt, Joel S. Parker, Alessandro Pastore, Joseph Paulauskis, Robert Penny, Elena Pereira, Charles M. Perou, Amy H. Perou, Todd Pihl, Raphael E. Pollock, Olga Potapova, Amie J. Radenbaugh, Suresh S. Ramalingam, Nilsa C. Ramirez, W. Kimryn Rathmell, Chandrajit P. Raut, Richard F. Riedel, Colleen Reilly, Sheila M. Reynolds, Jeffrey Roach, A. Gordon Robertson, Jason Roszik, Brian P. Rubin, Sara Sadeghi, Gordon Saksena, Andrew Salner, Francisco Sanchez-Vega, Chris Sander, Jacqueline E. Schein, Heather K. Schmidt, Nikolaus Schultz, Steven E. Schumacher, Harman Sekhon, Yasin Senbabaoglu, Galiya Setdikova, Candace Shelton, Troy Shelton, Ronglai Shen, Yan Shi, Juliann Shih, Ilya Shmulevich, Gabriel L. Sica, Janae V. Simons, Samuel Singer, Payal Sipahimalani, Tara Skelly, Nicholas Socci, Heidi J. Sofia, Matthew G. Soloway, Paul Spellman, Qiang Sun, Patricia Swanson, Angela Tam, Donghui Tan, Roy Tarnuzzer, Nina Thiessen, Eric Thompson, Leigh B. Thorne, Pan Tong, Keila E. Torres, Matt van de Rijn, David J. Van Den Berg, Brian A. Van Tine, Umadevi Veluvolu, Roel Verhaak, Doug Voet, Olga Voronina, Yunhu Wan, Zhining Wang, Jing Wang, John N. Weinstein, Daniel J. Weisenberger, Matthew D. Wilkerson, Richard K. Wilson, Lisa Wise, Tina Wong, Winghing Wong, John Wrangle, Ye Wu, Matthew Wyczalkowski, Liming Yang, Christina Yau, Venkata Yellapantula, Jean C. Zenklusen, Jiashan Zhang, Hailei Zhang, Hongxin Zhang, Erik Zmuda

Abstract

Sarcomas are a broad family of mesenchymal malignancies exhibiting remarkable histologic diversity. We describe the multi-platform molecular landscape of 206 adult soft tissue sarcomas representing 6 major types. Along with novel insights into the biology of individual sarcoma types, we report three overarching findings: (1) unlike most epithelial malignancies, these sarcomas (excepting synovial sarcoma) are characterized predominantly by copy-number changes, with low mutational loads and only a few genes (TP53, ATRX, RB1) highly recurrently mutated across sarcoma types; (2) within sarcoma types, genomic and regulomic diversity of driver pathways defines molecular subtypes associated with patient outcome; and (3) the immune microenvironment, inferred from DNA methylation and mRNA profiles, associates with outcome and may inform clinical trials of immune checkpoint inhibitors. Overall, this large-scale analysis reveals previously unappreciated sarcoma-type-specific changes in copy number, methylation, RNA, and protein, providing insights into refining sarcoma therapy and relationships to other cancer types.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 71 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 790 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 790 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 136 17%
Student > Ph. D. Student 111 14%
Student > Master 66 8%
Student > Bachelor 61 8%
Other 60 8%
Other 117 15%
Unknown 239 30%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 171 22%
Medicine and Dentistry 168 21%
Agricultural and Biological Sciences 73 9%
Immunology and Microbiology 26 3%
Computer Science 19 2%
Other 63 8%
Unknown 270 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 18 November 2025.
All research outputs
#480,586
of 33,175,499 outputs
Outputs from Cell
#2,470
of 19,251 outputs
Outputs of similar age
#7,748
of 365,341 outputs
Outputs of similar age from Cell
#47
of 145 outputs
Altmetric has tracked 33,175,499 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.9. This one has done well, scoring higher than 87% 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 365,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 145 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.