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Platelet protein biomarker panel for ovarian cancer diagnosis

Overview of attention for article published in Biomarker Research, January 2018
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1 tweeter

Citations

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9 Dimensions

Readers on

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15 Mendeley
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Title
Platelet protein biomarker panel for ovarian cancer diagnosis
Published in
Biomarker Research, January 2018
DOI 10.1186/s40364-018-0118-y
Pubmed ID
Authors

Marta Lomnytska, Rui Pinto, Susanne Becker, Ulla Engström, Sonja Gustafsson, Christina Björklund, Markus Templin, Jan Bergstrand, Lei Xu, Jerker Widengren, Elisabeth Epstein, Bo Franzén, Gert Auer

Abstract

Platelets support cancer growth and spread making platelet proteins candidates in the search for biomarkers. Two-dimensional (2D) gel electrophoresis, Partial Least Squares Discriminant Analysis (PLS-DA), Western blot, DigiWest. PLS-DA of platelet protein expression in 2D gels suggested differences between the International Federation of Gynaecology and Obstetrics (FIGO) stages III-IV of ovarian cancer, compared to benign adnexal lesions with a sensitivity of 96% and a specificity of 88%. A PLS-DA-based model correctly predicted 7 out of 8 cases of FIGO stages I-II of ovarian cancer after verification by western blot. Receiver-operator curve (ROC) analysis indicated a sensitivity of 83% and specificity of 76% at cut-off >0.5 (area under the curve (AUC) = 0.831, p < 0.0001) for detecting these cases. Validation on an independent set of samples by DigiWest with PLS-DA differentiated benign adnexal lesions and ovarian cancer, FIGO stages III-IV, with a sensitivity of 70% and a specificity of 83%. We identified a group of platelet protein biomarker candidates that can quantify the differential expression between ovarian cancer cases as compared to benign adnexal lesions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 3 20%
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Doctoral Student 1 7%
Other 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Unspecified 3 20%
Agricultural and Biological Sciences 2 13%
Immunology and Microbiology 1 7%
Chemistry 1 7%
Other 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 March 2018.
All research outputs
#11,230,341
of 12,617,609 outputs
Outputs from Biomarker Research
#84
of 103 outputs
Outputs of similar age
#237,120
of 273,452 outputs
Outputs of similar age from Biomarker Research
#5
of 5 outputs
Altmetric has tracked 12,617,609 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.