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Dove Medical Press

Development and validation of a panel of five proteins as blood biomarkers for early detection of colorectal cancer

Overview of attention for article published in Clinical Epidemiology, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 X user
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5 patents
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1 Facebook page

Citations

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25 Dimensions

Readers on

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51 Mendeley
Title
Development and validation of a panel of five proteins as blood biomarkers for early detection of colorectal cancer
Published in
Clinical Epidemiology, October 2017
DOI 10.2147/clep.s144171
Pubmed ID
Authors

Hongda Chen, Jing Qian, Simone Werner, Katarina Cuk, Phillip Knebel, Hermann Brenner

Abstract

Reliable noninvasive biomarkers for early detection of colorectal cancer (CRC) are highly desirable for efficient population-based screening with high adherence rates. We aimed to discover and validate blood-based protein markers for the early detection of CRC. A two-stage design with a discovery and a validation set was used. In the discovery phase, plasma levels of 92 protein markers and serum levels of TP53 autoantibody were measured in 226 clinically recruited CRC patients and 118 controls who were free of colorectal neoplasms at screening colonoscopy. An algorithm predicting the presence of CRC was derived by Lasso regression and validated in a validation set consisting of all available 41 patients with CRC and a representative sample of 106 participants with advanced adenomas and 107 controls free of neoplasm from a large screening colonoscopy cohort (N=6018). Receiver operating characteristic (ROC) analyses were conducted to evaluate the diagnostic performance of individual biomarkers and biomarker combinations. An algorithm based on growth differentiation factor 15 (GDF-15), amphiregulin (AREG), Fas antigen ligand (FasL), Fms-related tyrosine kinase 3 ligand (Flt3L) and TP53 autoantibody was constructed. In the validation set, the areas under the curves of this five-marker algorithm were 0.82 (95% CI, 0.74-0.90) for detecting CRC and 0.60 (95% CI, 0.52-0.69) for detecting advanced adenomas. At cutoffs yielding 90% specificity, the sensitivities (95% CI) for detecting CRC and advanced adenomas were 56.4% (38.4%-71.8%) and 22.0% (13.4%-35.4%), respectively. The five-marker panel showed similar diagnostic efficacy for the detection of early- and late-stage CRC. The identified most promising biomarkers could contribute to the development of powerful blood-based tests for CRC screening in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Ph. D. Student 7 14%
Student > Master 7 14%
Other 5 10%
Student > Bachelor 3 6%
Other 7 14%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 3 6%
Computer Science 2 4%
Nursing and Health Professions 2 4%
Other 7 14%
Unknown 16 31%
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 29 September 2021.
All research outputs
#5,222,421
of 25,584,565 outputs
Outputs from Clinical Epidemiology
#212
of 780 outputs
Outputs of similar age
#83,680
of 331,783 outputs
Outputs of similar age from Clinical Epidemiology
#5
of 14 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 72% 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 331,783 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.