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Comprehensive proteomics and platform validation of urinary biomarkers for bladder cancer diagnosis and staging

Overview of attention for article published in BMC Medicine, April 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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7 news outlets
blogs
1 blog
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5 X users

Citations

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14 Mendeley
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Title
Comprehensive proteomics and platform validation of urinary biomarkers for bladder cancer diagnosis and staging
Published in
BMC Medicine, April 2023
DOI 10.1186/s12916-023-02813-x
Pubmed ID
Authors

Kamala Vanarsa, Jessica Castillo, Long Wang, Kyung Hyun Lee, Claudia Pedroza, Yair Lotan, Chandra Mohan

Abstract

Bladder cancer (BC) is among the most common cancers diagnosed in men in the USA. The current gold standards for the diagnosis of BC are invasive or lack the sensitivity to correctly identify the disease. An aptamer-based screen analyzed the expression of 1317 proteins in BC compared to urology clinic controls. The top hits were subjected to systems biology analyses. Next, 30 urine proteins were ELISA-validated in an independent cohort of 68 subjects. Three of these proteins were next validated in an independent BC cohort of differing ethnicity. Systems biology analysis implicated molecular functions related to the extracellular matrix, collagen, integrin, heparin, and transmembrane tyrosine kinase signaling in BC susceptibility, with HNF4A and NFKB1 emerging as key molecular regulators. STEM analysis of the dysregulated pathways implicated a functional role for the immune system, complement, and interleukins in BC disease progression. Of 21 urine proteins that discriminated BC from urology clinic controls (UC), urine D-dimer displayed the highest accuracy (0.96) and sensitivity of 97%. Furthermore, 8 urine proteins significantly discriminated MIBC from NMIBC (AUC = 0.75-0.99), with IL-8 and IgA being the best performers. Urine IgA and fibronectin exhibited the highest specificity of 80% at fixed sensitivity for identifying advanced BC. Given the high sensitivity (97%) of urine D-dimer for BC, it may have a role in the initial diagnosis or detection of cancer recurrence. On the other hand, urine IL-8 and IgA may have the potential in identifying disease progression during patient follow-up. The use of these biomarkers for initial triage could have a significant impact as the current cystoscopy-based diagnostic and surveillance approach is costly and invasive when compared to a simple urine test.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Unknown 8 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Neuroscience 1 7%
Chemistry 1 7%
Engineering 1 7%
Other 0 0%
Unknown 9 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 28 April 2023.
All research outputs
#712,681
of 24,393,299 outputs
Outputs from BMC Medicine
#496
of 3,756 outputs
Outputs of similar age
#15,143
of 403,944 outputs
Outputs of similar age from BMC Medicine
#14
of 124 outputs
Altmetric has tracked 24,393,299 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. This one has done well, scoring higher than 86% 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 403,944 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 96% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.