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Emerging biomarkers in the diagnosis of prostate cancer

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, May 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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2 X users
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1 patent
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1 Google+ user

Citations

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210 Mendeley
Title
Emerging biomarkers in the diagnosis of prostate cancer
Published in
Pharmacogenomics and Personalized Medicine, May 2018
DOI 10.2147/pgpm.s136026
Pubmed ID
Authors

Xavier Filella, Esther Fernández-Galan, Rosa Fernández Bonifacio, Laura Foj

Abstract

Prostate cancer (PCa) is the second most common cancer in men worldwide. A large proportion of PCa are latent, never destined to progress or affect the patients' life. It is of utmost importance to identify which PCa are destined to progress and which would benefit from an early radical treatment. Prostate-specific antigen (PSA) remains the most used test to detect PCa. Its limited specificity and an elevated rate of overdiagnosis are the main problems associated with PSA testing. New PCa biomarkers have been proposed to improve the accuracy of PSA in the management of early PCa. Commercially available biomarkers such as PCA3 score, Prostate Health Index (PHI), and the four-kallikrein panel are used with the purpose of reducing the number of unnecessary biopsies and providing information related to the aggressiveness of the tumor. The relationship with PCa aggressiveness seems to be confirmed by PHI and the four-kallikrein panel, but not by the PCA3 score. In this review, we also summarize new promising biomarkers, such as PSA glycoforms, TMPRSS2:ERG fusion gene, microRNAs, circulating tumor cells, androgen receptor variants, and PTEN gene. All these emerging biomarkers could change the management of early PCa, offering more accurate results than PSA. Nonetheless, large prospective studies comparing these new biomarkers among them are required to know their real value in PCa detection and prognosis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 210 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 14%
Student > Master 23 11%
Student > Ph. D. Student 20 10%
Other 14 7%
Researcher 14 7%
Other 33 16%
Unknown 76 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 23%
Medicine and Dentistry 34 16%
Agricultural and Biological Sciences 10 5%
Chemistry 8 4%
Nursing and Health Professions 5 2%
Other 18 9%
Unknown 87 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 December 2022.
All research outputs
#6,560,509
of 25,964,892 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#76
of 374 outputs
Outputs of similar age
#103,373
of 342,382 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#2
of 7 outputs
Altmetric has tracked 25,964,892 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 374 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 342,382 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 69% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.