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A New Microarray Substrate for Ultra-Sensitive Genotyping of KRAS and BRAF Gene Variants in Colorectal Cancer

Overview of attention for article published in PLOS ONE, March 2013
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 X user
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2 patents

Citations

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14 Dimensions

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34 Mendeley
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Title
A New Microarray Substrate for Ultra-Sensitive Genotyping of KRAS and BRAF Gene Variants in Colorectal Cancer
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059939
Pubmed ID
Authors

Silvia Galbiati, Francesco Damin, Pamela Pinzani, Irene Mancini, Serena Vinci, Marcella Chiari, Claudio Orlando, Laura Cremonesi, Maurizio Ferrari

Abstract

Molecular diagnostics of human cancers may increase accuracy in prognosis, facilitate the selection of the optimal therapeutic regimen, improve patient outcome, reduce costs of treatment and favour development of personalized approaches to patient care. Moreover sensitivity and specificity are fundamental characteristics of any diagnostic method. We developed a highly sensitive microarray for the detection of common KRAS and BRAF oncogenic mutations. In colorectal cancer, KRAS and BRAF mutations have been shown to identify a cluster of patients that does not respond to anti-EGFR therapies; the identification of these mutations is therefore clinically extremely important. To verify the technical characteristics of the microarray system for the correct identification of the KRAS mutational status at the two hotspot codons 12 and 13 and of the BRAF(V600E) mutation in colorectal tumor, we selected 75 samples previously characterized by conventional and CO-amplification at Lower Denaturation temperature-PCR (COLD-PCR) followed by High Resolution Melting analysis and direct sequencing. Among these samples, 60 were collected during surgery and immediately steeped in RNAlater while the 15 remainders were formalin-fixed and paraffin-embedded (FFPE) tissues. The detection limit of the proposed method was different for the 7 KRAS mutations tested and for the V600E BRAF mutation. In particular, the microarray system has been able to detect a minimum of about 0.01% of mutated alleles in a background of wild-type DNA. A blind validation displayed complete concordance of results. The excellent agreement of the results showed that the new microarray substrate is highly specific in assigning the correct genotype without any enrichment strategy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Master 5 15%
Other 3 9%
Student > Ph. D. Student 3 9%
Student > Bachelor 2 6%
Other 5 15%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 12 35%
Agricultural and Biological Sciences 6 18%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Psychology 1 3%
Other 3 9%
Unknown 10 29%
Attention Score in Context

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 25 January 2022.
All research outputs
#4,559,889
of 22,979,862 outputs
Outputs from PLOS ONE
#63,122
of 195,883 outputs
Outputs of similar age
#38,680
of 198,167 outputs
Outputs of similar age from PLOS ONE
#1,250
of 5,378 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 195,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 67% 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 198,167 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 80% of its contemporaries.
We're also able to compare this research output to 5,378 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.