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Stathmin Protein Level, a Potential Predictive Marker for Taxane Treatment Response in Endometrial Cancer

Overview of attention for article published in PLOS ONE, February 2014
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Title
Stathmin Protein Level, a Potential Predictive Marker for Taxane Treatment Response in Endometrial Cancer
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0090141
Pubmed ID
Authors

Henrica M. J. Werner, Jone Trovik, Mari K. Halle, Elisabeth Wik, Lars A. Akslen, Even Birkeland, Therese Bredholt, Ingvild L. Tangen, Camilla Krakstad, Helga B. Salvesen

Abstract

Stathmin is a prognostic marker in many cancers, including endometrial cancer. Preclinical studies, predominantly in breast cancer, have suggested that stathmin may additionally be a predictive marker for response to paclitaxel. We first evaluated the response to paclitaxel in endometrial cancer cell lines before and after stathmin knock-down. Subsequently we investigated the clinical response to paclitaxel containing chemotherapy in metastatic endometrial cancer in relation to stathmin protein level in tumors. Stathmin level was also determined in metastatic lesions, analyzing changes in biomarker status on disease progression. Knock-down of stathmin improved sensitivity to paclitaxel in endometrial carcinoma cell lines with both naturally higher and lower sensitivity to paclitaxel. In clinical samples, high stathmin level was demonstrated to be associated with poor response to paclitaxel containing chemotherapy and to reduced disease specific survival only in patients treated with such combination. Stathmin level increased significantly from primary to metastatic lesions. This study suggests, supported by both preclinical and clinical data, that stathmin could be a predictive biomarker for response to paclitaxel treatment in endometrial cancer. Re-assessment of stathmin level in metastatic lesions prior to treatment start may be relevant. Also, validation in a randomized clinical trial will be important.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kazakhstan 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Ph. D. Student 4 18%
Researcher 3 14%
Student > Bachelor 3 14%
Unspecified 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Biochemistry, Genetics and Molecular Biology 3 14%
Agricultural and Biological Sciences 2 9%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Other 2 9%
Unknown 5 23%
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 26 February 2014.
All research outputs
#20,221,866
of 22,745,803 outputs
Outputs from PLOS ONE
#173,293
of 194,149 outputs
Outputs of similar age
#189,630
of 220,969 outputs
Outputs of similar age from PLOS ONE
#5,093
of 5,865 outputs
Altmetric has tracked 22,745,803 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.
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We're also able to compare this research output to 5,865 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.