↓ Skip to main content

The clinical use of biomarkers as prognostic factors in Ewing sarcoma

Overview of attention for article published in Clinical Sarcoma Research, February 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
32 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The clinical use of biomarkers as prognostic factors in Ewing sarcoma
Published in
Clinical Sarcoma Research, February 2012
DOI 10.1186/2045-3329-2-7
Pubmed ID
Authors

Annmeik M van Maldegem, Pancras CW Hogendoorn, Andrew B Hassan

Abstract

Ewing Sarcoma is the second most common primary bone sarcoma with 900 new diagnoses per year in Europe (EU27). It has a poor survival rate in the face of metastatic disease, with no more than 10% survival of the 35% who develop recurrence. Despite the remaining majority having localised disease, approximately 30% still relapse and die despite salvage therapies. Prognostic factors may identify patients at higher risk that might require differential therapeutic interventions. Aside from phenotypic features, quantitative biomarkers based on biological measurements may help identify tumours that are more aggressive. We audited the research which has been done to identify prognostic biomarkers for Ewing sarcoma in the past 15 years. We identified 86 articles were identified using defined search criteria. A total of 11,625 patients were reported, although this number reflects reanalysis of several cohorts. For phenotypic markers, independent reports suggest that tumour size > 8 cm and the presence of metastasis appeared strong predictors of negative outcome. Good histological response (necrosis > 90%) after treatment appeared a significant predictor for a positive outcome. However, data proposing biological biomarkers for practical clinical use remain un-validated with only one secondary report published. Our recommendation is that we can stratify patients according to their stage and using the phenotypic features of metastases, tumour size and histological response. For biological biomarkers, we suggest a number of validating studies including markers for 9p21 locus, heat shock proteins, telomerase related markers, interleukins, tumour necrosis factors, VEGF pathway, lymphocyte count, and a number of other markers including Ki-67.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Researcher 4 13%
Student > Bachelor 4 13%
Other 3 9%
Professor > Associate Professor 2 6%
Other 6 19%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 14 44%
Agricultural and Biological Sciences 6 19%
Biochemistry, Genetics and Molecular Biology 4 13%
Veterinary Science and Veterinary Medicine 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 5 16%
Attention Score in Context

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 17 May 2012.
All research outputs
#20,157,329
of 22,665,794 outputs
Outputs from Clinical Sarcoma Research
#90
of 104 outputs
Outputs of similar age
#224,078
of 247,693 outputs
Outputs of similar age from Clinical Sarcoma Research
#6
of 6 outputs
Altmetric has tracked 22,665,794 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 104 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 247,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.