↓ Skip to main content

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
Altmetric Badge

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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
144 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 20 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 143 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Ph. D. Student 20 14%
Student > Bachelor 17 12%
Student > Master 12 8%
Student > Postgraduate 11 8%
Other 37 26%
Unknown 18 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 23%
Medicine and Dentistry 31 22%
Agricultural and Biological Sciences 21 15%
Engineering 8 6%
Pharmacology, Toxicology and Pharmaceutical Science 8 6%
Other 15 10%
Unknown 28 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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
#2,119,824
of 14,710,057 outputs
Outputs from Cancer Cell
#1,047
of 2,325 outputs
Outputs of similar age
#68,133
of 380,555 outputs
Outputs of similar age from Cancer Cell
#29
of 47 outputs
Altmetric has tracked 14,710,057 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one has gotten more attention than average, scoring higher than 54% 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 380,555 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 82% 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.