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Molecular Liver Cancer Prevention in Cirrhosis by Organ Transcriptome Analysis and Lysophosphatidic Acid Pathway Inhibition

Overview of attention for article published in Cancer Cell, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
21 tweeters

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
126 Mendeley
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Title
Molecular Liver Cancer Prevention in Cirrhosis by Organ Transcriptome Analysis and Lysophosphatidic Acid Pathway Inhibition
Published in
Cancer Cell, December 2016
DOI 10.1016/j.ccell.2016.11.004
Pubmed ID
Authors

Shigeki Nakagawa, Lan Wei, Won Min Song, Takaaki Higashi, Sarani Ghoshal, Rosa S. Kim, C. Billie Bian, Suguru Yamada, Xiaochen Sun, Anu Venkatesh, Nicolas Goossens, Gretchen Bain, Gregory Y. Lauwers, Anna P. Koh, Mohamed El-Abtah, Noor B. Ahmad, Hiroki Hoshida, Derek J. Erstad, Ganesh Gunasekaran, Youngmin Lee, Ming-Lung Yu, Wan-Long Chuang, Chia-Yen Dai, Masahiro Kobayashi, Hiromitsu Kumada, Toru Beppu, Hideo Baba, Milind Mahajan, Venugopalan D. Nair, Michael Lanuti, Augusto Villanueva, Angelo Sangiovanni, Massimo Iavarone, Massimo Colombo, Josep M. Llovet, Aravind Subramanian, Andrew M. Tager, Scott L. Friedman, Thomas F. Baumert, Myron E. Schwarz, Raymond T. Chung, Kenneth K. Tanabe, Bin Zhang, Bryan C. Fuchs, Yujin Hoshida

Abstract

Cirrhosis is a milieu that develops hepatocellular carcinoma (HCC), the second most lethal cancer worldwide. HCC prediction and prevention in cirrhosis are key unmet medical needs. Here we have established an HCC risk gene signature applicable to all major HCC etiologies: hepatitis B/C, alcohol, and non-alcoholic steatohepatitis. A transcriptome meta-analysis of >500 human cirrhotics revealed global regulatory gene modules driving HCC risk and the lysophosphatidic acid pathway as a central chemoprevention target. Pharmacological inhibition of the pathway in vivo reduced tumors and reversed the gene signature, which was verified in organotypic ex vivo culture of patient-derived fibrotic liver tissues. These results demonstrate the utility of clinical organ transcriptome to enable a strategy, namely, reverse-engineering precision cancer prevention.

Twitter Demographics

The data shown below were collected from the profiles of 21 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 125 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 21%
Student > Ph. D. Student 19 15%
Student > Bachelor 14 11%
Student > Postgraduate 11 9%
Other 9 7%
Other 32 25%
Unknown 14 11%
Readers by discipline Count As %
Medicine and Dentistry 31 25%
Biochemistry, Genetics and Molecular Biology 25 20%
Agricultural and Biological Sciences 20 16%
Engineering 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 15 12%
Unknown 24 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 June 2017.
All research outputs
#1,581,042
of 13,458,274 outputs
Outputs from Cancer Cell
#871
of 2,218 outputs
Outputs of similar age
#60,017
of 375,079 outputs
Outputs of similar age from Cancer Cell
#29
of 47 outputs
Altmetric has tracked 13,458,274 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. 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 375,079 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.