Open Access Highly Accessed Research article

Assessment of a six gene panel for the molecular detection of circulating tumor cells in the blood of female cancer patients

Eva Obermayr18*, Fatima Sanchez-Cabo2, Muy-Kheng M Tea1, Christian F Singer1, Michael Krainer3, Michael B Fischer4, Jalid Sehouli5, Alexander Reinthaller1, Reinhard Horvat6, Georg Heinze7, Dan Tong1 and Robert Zeillinger18

Author Affiliations

1 Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

2 Institute for Genomics and Bioinformatics, Graz University of Technology, Graz, Austria

3 Department of Medicine I, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

4 Department of Blood Group Serology and Transfusion Medicine, Medical University of Vienna, Vienna, Austria

5 Department of Gynecology, European Competence Center for Ovarian Cancer, Charité - University Medicine of Berlin, Berlin, Germany

6 Clinical Institute of Pathology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

7 Section of Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

8 Ludwig Boltzmann Gesellschaft - Cluster Translational Oncology, A-1090 Vienna, Austria

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BMC Cancer 2010, 10:666  doi:10.1186/1471-2407-10-666

Published: 3 December 2010

Additional files

Additional file 1:

Base line characteristics of patients included into the RT-qPCR analysis of tumor tissue.

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Additional file 2:

Microarray data of 356 differentially expressed genes.

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Additional file 3:

Gene identifiers of the TLDA 96a platform. 93 genes were selected as CTC candidate genes for the RT-qPCR analysis of blood and tumor tissue samples from cancer patients. Additionally, three house-keeping genes (B2M, GAPDH, and PGK1) were chosen as an internal reference.

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Additional file 4:

Gene expression in tumor tissues. The percentage of breast, endometrial and ovarian cancer patients with gene expression detected by RT-qPCR is shown for each of the 93 candidate genes and for the three internal reference genes (B2M, GAPDH, and PGK1).

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