KCNJ3 is a new independent prognostic marker for estrogen receptor positive breast cancer patients

• DOI: 10.18632/oncotarget.13224
• Publication Date: 2016-11-09T03:08:00Z
• Authors: Sarah Kammerer; Armin Sokolowski; Hubert Hackl; Dieter Platzer; Stephan Wenzel Jahn; Amin El-Heliebi; Daniela Schwarzen...; Verena Stiegelbauer; Martin Pichler; Simin Rezania; Heidelinde Fiegl; Florentia Peintinger; Peter Regitnig; Gerald Hoefler; Wolfgang Schreibm...; Thomas Bauernhofer
• Keywords: 0301 basic medicine; ddc:610; Receptor, ErbB-2; Age Factors; Breast Neoplasms; Middle Aged; Prognosis; Survival Analysis; Up-Regulation; 3. Good health; Cohort Studies; Gene Expression Regulation, Neoplastic; 03 medical and health sciences; G Protein-Coupled Inwardly-Rectifying Potassium Channels; Predictive Value of Tests; Lymphatic Metastasis; Biomarkers, Tumor; Humans; Female; Research Paper

// Sarah Kammerer 1, 2 , Armin Sokolowski 9 Hubert Hackl 3 Dieter Platzer 1 Stephan Wenzel Jahn 4 Amin El-Heliebi 5 Daniela Schwarzenbacher 6 Verena Stiegelbauer Martin Pichler 6, 7 Simin Rezania Heidelinde Fiegl 8 Florentia Peintinger Peter Regitnig Gerald Hoefler Wolfgang Schreibmayer Thomas Bauernhofer 2, Molecular Physiology Group, Institute of Biophysics, Medical University Graz, Austria Research Unit on Ion Channels and Cancer Biology, Division Bioinformatics, Biocenter, Innsbruck, Pathology, Cell Histology Embryology, Oncology, Department Internal Medicine, Experimental Therapeutics, The Texas MD Anderson Center, Houston, TX, USA Gynecology Obstetrics, Present address: Prosthodontics, Restorative Dentistry, Periodontology Implantology, Correspondence to: Bauernhofer, email: [e-mail] Keywords: KCNJ3, GIRK1, biomarker, estrogen receptor positive breast cancer, RNA in situ hybridization Received: June 04, 2016 Accepted: October 26, Published: November 08, ABSTRACT Numerous studies showed abnormal expression ion channels different cancer types. Amongst these, the potassium channel gene KCNJ3 (encoding for GIRK1 proteins) has been reported to be upregulated tumors patients with correlate lymph node status. We aimed study levels subtypes using data from TCGA, validate our findings a validation cohort (GEO ID GSE17705), prognostic value survival analysis. In total > 1000 two independent sets we a) that is tumor tissue compared corresponding normal ( p < 0.001), b) associated (ER) but variable within this group, c) ER high have worse overall 0.05) disease free probabilities 0.01), whereby an factor <0.05). conclusion, suggest might stratified into risk low groups based tumor.