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Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer

Overview of attention for article published in Cell, October 2015
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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 (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

4 news outlets
40 tweeters
1 Wikipedia page


775 Dimensions

Readers on

780 Mendeley
3 CiteULike
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Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer
Published in
Cell, October 2015
DOI 10.1016/j.cell.2015.09.033
Pubmed ID

Giovanni Ciriello, Michael L. Gatza, Andrew H. Beck, Matthew D. Wilkerson, Suhn K. Rhie, Alessandro Pastore, Hailei Zhang, Michael McLellan, Christina Yau, Cyriac Kandoth, Reanne Bowlby, Hui Shen, Sikander Hayat, Robert Fieldhouse, Susan C. Lester, Gary M.K. Tse, Rachel E. Factor, Laura C. Collins, Kimberly H. Allison, Yunn-Yi Chen, Kristin Jensen, Nicole B. Johnson, Steffi Oesterreich, Gordon B. Mills, Andrew D. Cherniack, Gordon Robertson, Christopher Benz, Chris Sander, Peter W. Laird, Katherine A. Hoadley, Tari A. King, Charles M. Perou, Rehan Akbani, J. Todd Auman, Miruna Balasundaram, Saianand Balu, Thomas Barr, Andrew Beck, Christopher Benz, Stephen Benz, Mario Berrios, Rameen Beroukhim, Tom Bodenheimer, Lori Boice, Moiz S. Bootwalla, Jay Bowen, Reanne Bowlby, Denise Brooks, Andrew D. Cherniack, Lynda Chin, Juok Cho, Sudha Chudamani, Giovanni Ciriello, Tanja Davidsen, John A. Demchok, Jennifer B. Dennison, Li Ding, Ina Felau, Martin L. Ferguson, Scott Frazer, Stacey B. Gabriel, JianJiong Gao, Julie M. Gastier-Foster, Michael L. Gatza, Nils Gehlenborg, Mark Gerken, Gad Getz, William J. Gibson, D. Neil Hayes, David I. Heiman, Katherine A. Hoadley, Andrea Holbrook, Robert A. Holt, Alan P. Hoyle, Hai Hu, Mei Huang, Carolyn M. Hutter, E. Shelley Hwang, Stuart R. Jefferys, Steven J.M. Jones, Zhenlin Ju, Jaegil Kim, Phillip H. Lai, Peter W. Laird, Michael S. Lawrence, Kristen M. Leraas, Tara M. Lichtenberg, Pei Lin, Shiyun Ling, Jia Liu, Wenbin Liu, Laxmi Lolla, Yiling Lu, Yussanne Ma, Dennis T. Maglinte, Elaine Mardis, Jeffrey Marks, Marco A. Marra, Cynthia McAllister, Michael McLellan, Shaowu Meng, Matthew Meyerson, Gordon B. Mills, Richard A. Moore, Lisle E. Mose, Andrew J. Mungall, Bradley A. Murray, Rashi Naresh, Michael S. Noble, Steffi Oesterreich, Olufunmilayo Olopade, Joel S. Parker, Charles M. Perou, Todd Pihl, Gordon Saksena, Steven E. Schumacher, Kenna R. Mills Shaw, Nilsa C. Ramirez, W. Kimryn Rathmell, Suhn K. Rhie, Jeffrey Roach, A. Gordon Robertson, Gordon Saksena, Chris Sander, Jacqueline E. Schein, Nikolaus Schultz, Hui Shen, Margi Sheth, Yan Shi, Juliann Shih, Carl Simon Shelley, Craig Shriver, Janae V. Simons, Heidi J. Sofia, Matthew G. Soloway, Carrie Sougnez, Charlie Sun, Roy Tarnuzzer, Daniel G. Tiezzi, David J. Van Den Berg, Doug Voet, Yunhu Wan, Zhining Wang, John N. Weinstein, Daniel J. Weisenberger, Matthew D. Wilkerson, Richard Wilson, Lisa Wise, Maciej Wiznerowicz, Junyuan Wu, Ye Wu, Liming Yang, Christina Yau, Travis I. Zack, Jean C. Zenklusen, Hailei Zhang, Jiashan Zhang, Erik Zmuda


Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of invasive breast cancer. Here, we comprehensively profiled 817 breast tumors, including 127 ILC, 490 ductal (IDC), and 88 mixed IDC/ILC. Besides E-cadherin loss, the best known ILC genetic hallmark, we identified mutations targeting PTEN, TBX3, and FOXA1 as ILC enriched features. PTEN loss associated with increased AKT phosphorylation, which was highest in ILC among all breast cancer subtypes. Spatially clustered FOXA1 mutations correlated with increased FOXA1 expression and activity. Conversely, GATA3 mutations and high expression characterized luminal A IDC, suggesting differential modulation of ER activity in ILC and IDC. Proliferation and immune-related signatures determined three ILC transcriptional subtypes associated with survival differences. Mixed IDC/ILC cases were molecularly classified as ILC-like and IDC-like revealing no true hybrid features. This multidimensional molecular atlas sheds new light on the genetic bases of ILC and provides potential clinical options.

Twitter Demographics

The data shown below were collected from the profiles of 40 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 780 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
United Kingdom 6 <1%
France 2 <1%
China 2 <1%
Japan 2 <1%
Italy 2 <1%
Australia 1 <1%
Finland 1 <1%
Ireland 1 <1%
Other 5 <1%
Unknown 751 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 190 24%
Researcher 186 24%
Student > Master 72 9%
Student > Bachelor 63 8%
Other 43 6%
Other 141 18%
Unknown 85 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 224 29%
Agricultural and Biological Sciences 201 26%
Medicine and Dentistry 137 18%
Computer Science 36 5%
Pharmacology, Toxicology and Pharmaceutical Science 13 2%
Other 61 8%
Unknown 108 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 14 August 2018.
All research outputs
of 14,678,107 outputs
Outputs from Cell
of 14,960 outputs
Outputs of similar age
of 251,014 outputs
Outputs of similar age from Cell
of 174 outputs
Altmetric has tracked 14,678,107 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.3. 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 251,014 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 96% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.