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Comparative sequencing analysis reveals high genomic concordance between matched primary and metastatic colorectal cancer lesions

Overview of attention for article published in Genome Biology (Online Edition), August 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
2 blogs
twitter
12 tweeters

Readers on

mendeley
63 Mendeley
citeulike
2 CiteULike
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Title
Comparative sequencing analysis reveals high genomic concordance between matched primary and metastatic colorectal cancer lesions
Published in
Genome Biology (Online Edition), August 2014
DOI 10.1186/preaccept-1207406452128377
Pubmed ID
Authors

A Brannon, Efsevia Vakiani, Brooke E Sylvester, Sasinya N Scott, Gregory McDermott, Ronak H Shah, Krishan Kania, Agnes Viale, Dayna M Oschwald, Vladimir Vacic, Anne-Katrin Emde, Andrea Cercek, Rona Yaeger, Nancy E Kemeny, Leonard B Saltz, Jinru Shia, Michael I D Angelica, Martin R Weiser, David B Solit, Michael F Berger, Brannon A, Vakiani E, Sylvester BE, Scott SN, McDermott G, Shah RH, Kania K, Viale A, Oschwald DM, Vacic V, Emde AK, Cercek A, Yaeger R, Kemeny NE, Saltz LB, Shia J, D Angelica MI, Weiser MR, Solit DB, Berger MF

Abstract

BackgroundColorectal cancer is the second leading cause of cancer death in the United States, with over 50,000 deaths estimated in 2014. Molecular profiling for somatic mutations that predict absence of response to anti-EGFR therapy has become standard practice in the treatment of metastatic colorectal cancer; however, the quantity and type of tissue available for testing is frequently limited. Further, the degree to which the primary tumor is a faithful representation of metastatic disease has been questioned. As next-generation sequencing technology becomes more widely available for clinical use and additional molecularly targeted agents are considered as treatment options in colorectal cancer, it is important to characterize the extent of tumor heterogeneity between primary and metastatic tumors.ResultsWe performed deep coverage, targeted next-generation sequencing of 230 key cancer-associated genes for 69 matched primary and metastatic tumors and normal tissue. Mutation profiles were 100% concordant for KRAS, NRAS, and BRAF, and were highly concordant for recurrent alterations in colorectal cancer. Additionally, whole genome sequencing of four patient trios did not reveal any additional site-specific targetable alterations.ConclusionsColorectal cancer primary tumors and metastases exhibit high genomic concordance. As current clinical practices in colorectal cancer revolve around KRAS, NRAS, and BRAF mutation status, diagnostic sequencing of either primary or metastatic tissue as available is acceptable for most patients. Additionally, consistency between targeted sequencing and whole genome sequencing results suggests that targeted sequencing may be a suitable strategy for clinical diagnostic applications.

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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
France 2 3%
Norway 1 2%
United Kingdom 1 2%
Denmark 1 2%
Germany 1 2%
Unknown 54 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 41%
Student > Ph. D. Student 12 19%
Other 7 11%
Student > Master 6 10%
Professor > Associate Professor 4 6%
Other 6 10%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 62%
Medicine and Dentistry 8 13%
Biochemistry, Genetics and Molecular Biology 7 11%
Mathematics 2 3%
Computer Science 1 2%
Other 0 0%
Unknown 6 10%

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 19 June 2015.
All research outputs
#615,160
of 10,134,140 outputs
Outputs from Genome Biology (Online Edition)
#747
of 2,594 outputs
Outputs of similar age
#14,181
of 191,700 outputs
Outputs of similar age from Genome Biology (Online Edition)
#18
of 105 outputs
Altmetric has tracked 10,134,140 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has gotten more attention than average, scoring higher than 71% 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 191,700 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 92% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.