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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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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%