| Title |
Current Status of Molecular Biomarkers in Endometrial Cancer
|
|---|---|
| Published in |
Current Oncology Reports, July 2014
|
| DOI | 10.1007/s11912-014-0403-3 |
| Pubmed ID | |
| Authors |
H. M. J. Werner, H. B. Salvesen |
| Abstract |
In spite of the high and increasing incidence of endometrial cancer, our current models for prediction of prognosis and even more treatment response are suboptimal, and molecular biomarkers to assist clinical decision making are needed. In this review an overview is given of the currently known as well as promising prognostic and predictive biomarkers in endometrial carcinoma. Key clinical challenges, where use of molecular biomarkers can meet clinical needs, are highlighted. The current status for the presently most promising prognostic and predictive biomarkers in endometrial carcinoma is reviewed. DNA ploidy, p53 status, hormone receptor level, HER2, stathmin, L1 cell adhesion molecule expression and other biomarkers are discussed in relation to the scientific robustness of various essential steps in biomarker development and (current) clinical applicability for individualizing treatment strategies. Tumour heterogeneity and its consequences for biomarker assessment and the importance of developing standardised tests for implementation are discussed. To improve the development and clinical uptake of biomarkers, several strategies are proposed. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kazakhstan | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 6 | 11% |
| Student > Postgraduate | 6 | 11% |
| Student > Master | 5 | 9% |
| Other | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 45% |
| Agricultural and Biological Sciences | 9 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 25% |
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 26 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from Current Oncology Reports
#660
of 874 outputs
Outputs of similar age
#163,951
of 229,434 outputs
Outputs of similar age from Current Oncology Reports
#5
of 9 outputs
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