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The Value of a Novel Panel of Cervical Cancer Biomarkers for Triage of HPV Positive Patients and for Detecting Disease Progression

Overview of attention for article published in Pathology & Oncology Research, August 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 policy source
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2 X users
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1 Facebook page

Citations

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10 Dimensions

Readers on

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66 Mendeley
Title
The Value of a Novel Panel of Cervical Cancer Biomarkers for Triage of HPV Positive Patients and for Detecting Disease Progression
Published in
Pathology & Oncology Research, August 2016
DOI 10.1007/s12253-016-0094-1
Pubmed ID
Authors

Norbert Varga, Johanna Mózes, Helen Keegan, Christine White, Lynne Kelly, Loretto Pilkington, Márta Benczik, Schaff Zsuzsanna, Gábor Sobel, Róbert Koiss, Edit Babarczi, Miklos Nyíri, Laura Kovács, Sebe Attila, Borbála Kaltenecker, Adrienn Géresi, Adrienn Kocsis, John O’Leary, Cara M. Martin, Csaba Jeney

Abstract

In the era of primary vaccination against HPV and at the beginning of the low prevalence of cervical lesions, introduction of screening methods that can distinguish between low- and high-grade lesions is necessary in order to maintain the positive predictive value of screening. This case-control study included 562 women who attended cervical screening or were referred for colposcopy and 140 disease free controls, confirmed by histology and/or cytology. The cases were stratified by age. Using routine exfoliated liquid based cytological samples RT-PCR measurements of biomarker genes, high-risk HPV testing and liquid based cytology were performed and used to evaluate different testing protocols including sets of genes/tests with different test cut-offs for the diagnostic panels. Three new panels of cellular biomarkers for improved triage of hrHPV positive women (diagnostic panel) and for prognostic assessment of CIN lesions were proposed. The diagnostic panel (PIK3AP1, TP63 and DSG3) has the potential to distinguish cytologically normal hrHPV+ women from hrHPV+ women with CIN2+. The prognostic gene panels (KRT78, MUC5AC, BPIFB1 and CXCL13, TP63, DSG3) have the ability to differentiate hrHPV+ CIN1 and carcinoma cases. The diagnostic triage panel showed good likelihood ratios for all age groups. The panel showed age-unrelated performance and even better diagnostic value under age 30, a unique feature among the established cervical triage tests. The prognostic gene-panels demonstrated good discriminatory power and oncogenic, anti-oncogenic grouping of genes. The study highlights the potential for the gene expression panels to be used for diagnostic triage and lesion prognostics in cervical cancer screening.

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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 29%
Student > Ph. D. Student 7 11%
Student > Master 7 11%
Researcher 6 9%
Student > Doctoral Student 3 5%
Other 4 6%
Unknown 20 30%
Readers by discipline Count As %
Medicine and Dentistry 25 38%
Biochemistry, Genetics and Molecular Biology 5 8%
Nursing and Health Professions 5 8%
Agricultural and Biological Sciences 4 6%
Engineering 2 3%
Other 4 6%
Unknown 21 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 January 2024.
All research outputs
#7,172,907
of 25,345,468 outputs
Outputs from Pathology & Oncology Research
#86
of 779 outputs
Outputs of similar age
#114,254
of 377,535 outputs
Outputs of similar age from Pathology & Oncology Research
#3
of 11 outputs
Altmetric has tracked 25,345,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 779 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 89% 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 377,535 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 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.