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A genomic case study of mixed fibrolamellar hepatocellular carcinoma

Overview of attention for article published in Annals of Oncology, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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12 tweeters

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17 Mendeley
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A genomic case study of mixed fibrolamellar hepatocellular carcinoma
Published in
Annals of Oncology, March 2016
DOI 10.1093/annonc/mdw135
Pubmed ID

Griffith, Obi L, Griffith, Malachi, Krysiak, Kilannin, Magrini, Vincent, Ramu, Avinash, Skidmore, Zachary L, Kunisaki, Jason, Austin, Rachel, McGrath, Sean, Zhang, Jin, Demeter, Ryan, Graves, Tina, Eldred, James M, Walker, Jason, Larson, David E, Maher, Christopher A, Lin, Yiing, Chapman, William, Mahadevan, Anand, Miksad, Rebecca, Nasser, Imad, Hanto, Douglas W, Mardis, Elaine R, Obi L. Griffith, Malachi Griffith, Kilannin Krysiak, Vincent Magrini, Avinash Ramu, Zachary L. Skidmore, Jason Kunisaki, Rachel Austin, Sean McGrath, Jin Zhang, Ryan Demeter, Tina Graves, James M. Eldred, Jason Walker, David E. Larson, Christopher A. Maher, Yiing Lin, William Chapman, Anand Mahadevan, Rebecca Miksad, Imad Nasser, Douglas W. Hanto, Elaine R. Mardis, O. L. Griffith, M. Griffith, K. Krysiak, V. Magrini, A. Ramu, Z. L. Skidmore, J. Kunisaki, R. Austin, S. McGrath, J. Zhang, R. Demeter, T. Graves, J. M. Eldred, J. Walker, D. E. Larson, C. A. Maher, Y. Lin, W. Chapman, A. Mahadevan, R. Miksad, I. Nasser, D. W. Hanto, E. R. Mardis


We report the first comprehensive study of a case of metastatic mixed fibrolamellar hepatocellular carcinoma (mFL-HCC) by exome and transcriptome sequencing. We found no evidence for HBV or HCV expression or genome integration,TERTpromoter mutations or other common HCC-associated mutations. The very low mutation rate of this case, large number of mostly single-copy, long-range copy number variant events, and high expression ofERBB2were more consistent with previous reports of pure FL-HCC than conventional HCC. In particular, a recently discovered fusion transcript specifically associated with pure FL-HCC and involvingDNAJB1andPRKACAwas detected at very high expression levels. Subsequent analysis of the primary tumor and additional metastases revealed the presence of this fusion in all assayed samples, including samples with mixed or conventional HCC pathology. A novel BAC-capture approach was developed to allow identification of a 400kb deletion as the underlying genomic mechanism for the fusion. A second case of mFL-HCC confirmed our finding that theDNAJB1:PRKACAfusion was detectable in conventional components. Finally, we used sensitive detection methods to screen an additional 112 HCC and 44 adjacent non-tumor liver samples for this fusion and identified a single case of HCC, which upon review, also had both conventional and fibrolamellar features. These results indicate that theDNAJB1:PRKACAfusion can be used as a diagnostic tool for both pure and mFL-HCC.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Researcher 4 24%
Student > Bachelor 2 12%
Student > Postgraduate 2 12%
Professor 1 6%
Other 3 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 35%
Medicine and Dentistry 6 35%
Biochemistry, Genetics and Molecular Biology 3 18%
Arts and Humanities 1 6%
Unspecified 1 6%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 June 2016.
All research outputs
of 7,871,308 outputs
Outputs from Annals of Oncology
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Outputs of similar age
of 275,981 outputs
Outputs of similar age from Annals of Oncology
of 132 outputs
Altmetric has tracked 7,871,308 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,481 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 75% 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 275,981 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 77% of its contemporaries.
We're also able to compare this research output to 132 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 65% of its contemporaries.