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Real-time genomic characterization of advanced pancreatic cancer to enable precision medicine

Overview of attention for article published in Cancer Discovery, September 2018
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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)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
6 news outlets
policy
1 policy source
twitter
101 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
254 Dimensions

Readers on

mendeley
268 Mendeley
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Title
Real-time genomic characterization of advanced pancreatic cancer to enable precision medicine
Published in
Cancer Discovery, September 2018
DOI 10.1158/2159-8290.cd-18-0275
Pubmed ID
Authors

Andrew J Aguirre, Jonathan A Nowak, Nicholas D Camarda, Richard A Moffitt, Arezou A Ghazani, Mehlika Hazar-Rethinam, Srivatsan Raghavan, Jaegil Kim, Lauren K Brais, Dorisanne Ragon, Marisa W Welch, Emma Reilly, Devin McCabe, Lori Marini, Kristin Anderka, Karla Helvie, Nelly Oliver, Ana Babic, Annacarolina Da Silva, Brandon Nadres, Emily E Van Seventer, Heather A Shahzade, Joseph P St Pierre, Kelly P Burke, Thomas Clancy, James M Cleary, Leona A Doyle, Kunal Jajoo, Nadine J McCleary, Jeffrey A Meyerhardt, Janet E Murphy, Kimmie Ng, Anuj K Patel, Kimberly Perez, Michael H Rosenthal, Douglas A Rubinson, Marvin Ryou, Geoffrey I Shapiro, Ewa Sicinska, Stuart G Silverman, Rebecca J Nagy, Richard B Lanman, Deborah Knoerzer, Dean J Welsch, Matthew B Yurgelun, Charles S Fuchs, Levi A Garraway, Gad Getz, Jason L Hornick, Bruce E Johnson, Matthew H Kulke, Robert J Mayer, Jeffrey W Miller, Paul B Shyn, David A Tuveson, Nikhil Wagle, Jen Jen Yeh, William C Hahn, Ryan B Corcoran, Scott L Carter, Brian M Wolpin

Abstract

Clinically relevant subtypes exist for pancreatic ductal adenocarcinoma (PDAC), but molecular characterization is not yet standard in clinical care. We implemented a biopsy protocol to perform time-sensitive whole exome sequencing and RNA-sequencing for patients with advanced PDAC. Therapeutically relevant genomic alterations were identified in 48% (34/71) and pathogenic/likely pathogenic germline alterations in 18% (13/71) of patients. Overall, 30% (21/71) of enrolled patients experienced a change in clinical management as a result of genomic data. Twenty-six patients had germline and/or somatic alterations in DNA-damage repair genes, and 5 additional patients had mutational signatures of homologous recombination deficiency but no identified causal genomic alteration. Two patients had oncogenic in-frame BRAF deletions, and we report the first clinical evidence that this alteration confers sensitivity to MAP-kinase pathway inhibition. Moreover, we identified tumor/stroma gene expression signatures with clinical relevance. Collectively, these data demonstrate the feasibility and value of real-time genomic characterization of advanced PDAC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 101 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 268 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 19%
Student > Ph. D. Student 47 18%
Other 21 8%
Student > Bachelor 18 7%
Student > Master 15 6%
Other 37 14%
Unknown 79 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 24%
Medicine and Dentistry 60 22%
Agricultural and Biological Sciences 26 10%
Immunology and Microbiology 6 2%
Pharmacology, Toxicology and Pharmaceutical Science 4 1%
Other 19 7%
Unknown 90 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 107. 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 November 2023.
All research outputs
#401,089
of 25,774,185 outputs
Outputs from Cancer Discovery
#201
of 4,156 outputs
Outputs of similar age
#8,380
of 346,331 outputs
Outputs of similar age from Cancer Discovery
#8
of 96 outputs
Altmetric has tracked 25,774,185 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 4,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done particularly well, scoring higher than 95% 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 346,331 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 96 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.