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Integrated genomic and transcriptomic analysis of human brain metastases identifies alterations of potential clinical significance

Overview of attention for article published in The Journal of Pathology, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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2 news outlets
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Citations

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103 Dimensions

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141 Mendeley
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Title
Integrated genomic and transcriptomic analysis of human brain metastases identifies alterations of potential clinical significance
Published in
The Journal of Pathology, August 2015
DOI 10.1002/path.4583
Pubmed ID
Authors

Jodi M Saunus, Michael C J Quinn, Ann-Marie Patch, John V Pearson, Peter J Bailey, Katia Nones, Amy E McCart Reed, David Miller, Peter J Wilson, Fares Al-Ejeh, Mythily Mariasegaram, Queenie Lau, Teresa Withers, Rosalind L Jeffree, Lynne E Reid, Leonard Da Silva, Admire Matsika, Colleen M Niland, Margaret C Cummings, Timothy J C Bruxner, Angelika N Christ, Ivon Harliwong, Senel Idrisoglu, Suzanne Manning, Craig Nourse, Ehsan Nourbakhsh, Shivangi Wani, Matthew J Anderson, J Lynn Fink, Oliver Holmes, Stephen Kazakoff, Conrad Leonard, Felicity Newell, Darrin Taylor, Nick Waddell, Scott Wood, Qinying Xu, Karin S Kassahn, Vairavan Narayanan, Nur Aishah Taib, Soo-Hwang Teo, Yock Ping Chow, kConFab, Parmjit S Jat, Sebastian Brandner, Adrienne M Flanagan, Kum Kum Khanna, Georgia Chenevix-Trench, Sean M Grimmond, Peter T Simpson, Nicola Waddell, Sunil R Lakhani

Abstract

Treatment options for patients with brain metastases (BM) have limited efficacy and the mortality rate is virtually 100%. Targeted therapy is critically under-utilised, and our understanding of mechanisms underpinning metastatic outgrowth in the brain is limited. To address these deficiencies, we investigated the genomic and transcriptomic landscapes of 36 BM (from breast, lung, melanoma and oesophageal cancers) using DNA copy-number analysis and exome- and RNA-sequencing. The key findings were: (1) identification of novel candidates with possible roles in brain metastasis development, including the significantly mutated genes DSC2, ST7, PIK3R1 and SMC5; and the DNA repair, ERBB/HER signalling, axon guidance and protein kinase-A signalling pathways. (2) Mutational signature analysis was applied to successfully identify the primary cancer type for two BM with unknown origins. (3) Actionable genomic alterations were identified in 31/36 BM (86%). In one case we retrospectively identified ERBB2-amplification representing apparent HER2 status conversion, then confirmed progressive enrichment for HER2-positivity across four consecutive metastatic deposits by IHC and SISH, resulting in the deployment of HER2-targeted therapy for the patient. (4) In the ERBB/HER pathway, ERBB2 expression correlated with ERBB3 (r(2)  = 0.496; p<0.0001), and HER3 and HER4 were frequently activated in an independent cohort of 167 archival BM from seven primary cancer types: 57.6% and 52.6% of cases were phospho-HER3(Y1222) or phospho-HER4(Y1162) membrane-positive, respectively. The HER3 ligands NRG1/2 were barely detectable by RNAseq (with NRG1 (8p12) genomic loss in 63.6% breast cancer-BM), suggesting a microenvironmental source of ligand. In summary, this is the first study to characterise the genomic landscapes of BM. The data revealed novel candidates, potential clinical applications for genomic profiling of resectable BM, and highlight the possibility of therapeutically targeting HER3, which is broadly over-expressed and activated in BM independent of primary site and systemic therapy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 140 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 14%
Researcher 17 12%
Student > Master 16 11%
Student > Doctoral Student 12 9%
Student > Bachelor 12 9%
Other 32 23%
Unknown 32 23%
Readers by discipline Count As %
Medicine and Dentistry 38 27%
Biochemistry, Genetics and Molecular Biology 25 18%
Agricultural and Biological Sciences 16 11%
Neuroscience 5 4%
Immunology and Microbiology 3 2%
Other 15 11%
Unknown 39 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 16 April 2016.
All research outputs
#1,917,923
of 24,477,448 outputs
Outputs from The Journal of Pathology
#114
of 2,989 outputs
Outputs of similar age
#25,327
of 271,137 outputs
Outputs of similar age from The Journal of Pathology
#1
of 35 outputs
Altmetric has tracked 24,477,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,989 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 96% 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 271,137 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 90% of its contemporaries.
We're also able to compare this research output to 35 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 97% of its contemporaries.