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Gene expression profiling in uveal melanoma: technical reliability and correlation of molecular class with pathologic characteristics

Overview of attention for article published in Diagnostic Pathology, August 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,135)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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5 news outlets
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4 X users

Citations

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25 Dimensions

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25 Mendeley
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Title
Gene expression profiling in uveal melanoma: technical reliability and correlation of molecular class with pathologic characteristics
Published in
Diagnostic Pathology, August 2017
DOI 10.1186/s13000-017-0650-3
Pubmed ID
Authors

Kristen M. Plasseraud, Jeff K. Wilkinson, Kristen M. Oelschlager, Trisha M. Poteet, Robert W. Cook, John F. Stone, Federico A. Monzon

Abstract

A 15-gene expression profile test has been clinically validated and is widely utilized in newly diagnosed uveal melanoma (UM) patients to assess metastatic potential of the tumor. As most patients are treated with eye-sparing radiotherapy, there is limited tumor tissue available for testing, and technical reliability and success of prognostic testing are critical. This study assessed the analytical performance of the 15-gene expression test for UM and the correlation of molecular class with pathologic characteristics. Inter-assay, intra-assay, inter-instrument/operator, and inter-site experiments were conducted, and concordance of the 15-gene expression profile test results and associated discriminant scores for matched tumor samples were evaluated. Technical success was determined from de-identified clinical reports from January 2010 - May 2016. Pathologic characteristics of enucleated tumors were correlated with molecular class results. Inter-assay concordance on 16 samples run on 3 consecutive days was 100%, and matched discriminant scores were strongly correlated (R(2) = 0.9944). Inter-assay concordance of 46 samples assayed within a one year period was 100%, with an R(2) value of 0.9747 for the discriminant scores. Intra-assay concordance of 12 samples run concurrently in duplicates was 100%; discriminant score correlation yielded an R(2) of 0.9934. Concordance between two sites assessing the same tumors was 100% with an R(2) of 0.9818 between discriminant scores. Inter-operator/instrument concordance was 96% for Class 1/2 calls and 90% for Class 1A/1B calls, and the discriminant scores had a correlation R(2) of 0.9636. Technical success was 96.3% on 5516 samples tested since 2010. Increased largest basal diameter and thickness were significantly associated with Class 1B and Class 2 vs. Class 1A signatures. These results show that the 15-gene expression profile test for UM has robust, reproducible performance characteristics. The technical success rate during clinical testing remains as high as first reported during validation. As molecular testing becomes more prevalent for supporting precision medicine efforts, high technical success and reliability are key characteristics when testing such limited and precious samples. The performance of the 15-gene expression profile test in this study should provide confidence to physicians who use the test's molecular classification to inform patient management decisions.

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The data shown below were collected from the profiles of 4 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 12%
Student > Master 3 12%
Student > Postgraduate 3 12%
Student > Ph. D. Student 3 12%
Lecturer 2 8%
Other 6 24%
Unknown 5 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Medicine and Dentistry 6 24%
Engineering 2 8%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 8%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 10 August 2017.
All research outputs
#860,148
of 22,996,001 outputs
Outputs from Diagnostic Pathology
#7
of 1,135 outputs
Outputs of similar age
#19,535
of 317,469 outputs
Outputs of similar age from Diagnostic Pathology
#1
of 19 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,135 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 317,469 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 93% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.