BACKGROUND: The aim of this study was the prediction of metastatic status in seminoma based on examination of the primary tumor. METHODS: Total RNA was isolated from metastasized seminoma (n = 10, T1N1-2M0), non-metastasized seminoma (n = 21, T1-3N0M0), and corresponding normal tissues. Pooled RNA from 10 biopsies of each tissue type was hybridized on whole genome microarrays for screening purposes. Ninety-two selected gene candidates were quantitatively examined using real-time quantitative polymerase chain reaction (RTQ-PCR). RESULTS: Agreement in gene expression was 88% between the whole genome microarrays and RTQ-PCR. Metastasized seminoma showed 1,912 up-regulated and 2,179 down-regulated genes with ≥ 2-fold differences in gene expression compared non-metastasized seminoma. RTQ-PCR of selected genes showed that mean gene expression values were significantly reduced in metastasized compared with non-metastasized seminoma. The presence of metastases could be predicted based on an 85-gene expression signature by using logistic regression. Sensitivity and accuracy of the 10-fold cross-validation model were 77.8% and 84.2%, respectively. CONCLUSION: A logistic regression model using an 85 gene expression signature allowed identification of metastasized seminoma from the primary tumor with a sensitivity of 77.8%.
BACKGROUND: The aim of this study was the prediction of metastatic status in seminoma based on examination of the primary tumor. METHODS: Total RNA was isolated from metastasized seminoma (n = 10, T1N1-2M0), non-metastasized seminoma (n = 21, T1-3N0M0), and corresponding normal tissues. Pooled RNA from 10 biopsies of each tissue type was hybridized on whole genome microarrays for screening purposes. Ninety-two selected gene candidates were quantitatively examined using real-time quantitative polymerase chain reaction (RTQ-PCR). RESULTS: Agreement in gene expression was 88% between the whole genome microarrays and RTQ-PCR. Metastasized seminoma showed 1,912 up-regulated and 2,179 down-regulated genes with ≥ 2-fold differences in gene expression compared non-metastasized seminoma. RTQ-PCR of selected genes showed that mean gene expression values were significantly reduced in metastasized compared with non-metastasized seminoma. The presence of metastases could be predicted based on an 85-gene expression signature by using logistic regression. Sensitivity and accuracy of the 10-fold cross-validation model were 77.8% and 84.2%, respectively. CONCLUSION: A logistic regression model using an 85 gene expression signature allowed identification of metastasized seminoma from the primary tumor with a sensitivity of 77.8%.
Authors: C G Ruf; S Sachs; N Khalili-Harbi; H Isbarn; W Wagner; C Matthies; V Meineke; M Fisch; F K Chun; M Abend Journal: World J Urol Date: 2013-10-29 Impact factor: 4.226
Authors: C G Ruf; H-U Schmelz; M Port; W Wagner; C Matthies; B Müller-Myhsok; V Meineke; M Abend Journal: Br J Cancer Date: 2014-05-01 Impact factor: 7.640
Authors: Christian G Ruf; Matthias Port; Hans-Ulrich Schmelz; Walter Wagner; Felix Müller; Sven Senf; Cord Matthies; Bertram Müller-Myhsok; Viktor Meineke; Michael Abend Journal: PLoS One Date: 2014-05-01 Impact factor: 3.240
Authors: Christian G Ruf; Daniela Dinger; Matthias Port; Hans-Ulrich Schmelz; Walter Wagner; Cord Matthies; Bertram Müller-Myhsok; Viktor Meineke; Michael Abend Journal: Mol Cancer Date: 2014-03-06 Impact factor: 27.401
Authors: Jan K Hennigs; Julia Müller; Matti Adam; Joshua M Spin; Emilia Riedel; Markus Graefen; Carsten Bokemeyer; Guido Sauter; Hartwig Huland; Thorsten Schlomm; Sarah Minner Journal: PLoS One Date: 2014-07-10 Impact factor: 3.240