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Analysis of the expression of Kv10.1 potassium channel in patients with brain metastases and glioblastoma multiforme: impact on survival

Overview of attention for article published in BMC Cancer, November 2015
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Title
Analysis of the expression of Kv10.1 potassium channel in patients with brain metastases and glioblastoma multiforme: impact on survival
Published in
BMC Cancer, November 2015
DOI 10.1186/s12885-015-1848-y
Pubmed ID
Authors

Ramón Martínez, Walter Stühmer, Sabine Martin, Julian Schell, Andrea Reichmann, Veit Rohde, Luis Pardo

Abstract

Kv10.1, a voltage-gated potassium channel only detected in the healthy brain, was found to be aberrantly expressed in extracerebral cancers. Investigations of Kv10.1 in brain metastasis and glioblastoma multiforme (GBM) are lacking. We analyzed the expression of Kv10.1 by immunohistochemistry in these brain tumors (75 metastasis from different primary tumors, 71 GBM patients) and the influence of a therapy with tricyclic antidepressants (which are Kv10.1 blockers) on survival. We also investigated Kv10.1 expression in the corresponding primary carcinomas of metastases patients. We observed positive Kv10.1 expression in 85.3 % of the brain metastases and in 77.5 % of GBMs. Patients with brain metastases, showing low Kv10.1 expression, had a significantly longer overall survival compared to those patients with high Kv10.1 expression. Metastases patients displaying low Kv10.1 expression and also receiving tricyclic antidepressants showed a significantly longer median overall survival as compared to untreated patients. Our data show that Kv10.1 is not only highly expressed in malignant tumors outside CNS, but also in the most frequent cerebral cancer entities, metastasis and GBM, which remain incurable in spite of aggressive multimodal therapies. Our results extend the correlation between dismal prognosis and Kv10.1 expression to patients with brain metastases or GBMs and, moreover, they strongly suggest a role of tricyclic antidepressants for personalized therapy of brain malignancies.

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The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Student > Ph. D. Student 9 17%
Student > Bachelor 7 13%
Researcher 6 12%
Other 4 8%
Other 7 13%
Unknown 8 15%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 9 17%
Pharmacology, Toxicology and Pharmaceutical Science 5 10%
Agricultural and Biological Sciences 4 8%
Neuroscience 3 6%
Other 5 10%
Unknown 13 25%