Abstract | BACKGROUND: METHODS: Using semiquantitative realtime PCR we analysed SERBP1 expression in different normal human tissues (n = 25), and in matched pairs of normal (n = 7) and cancerous breast tissues (n = 7). SERBP1 protein expression was analysed in two independent cohorts on tissue microarrays (TMAs), an initial evaluation set, consisting of 193 breast carcinomas and 48 normal breast tissues, and a second large validation set, consisting of 605 breast carcinomas. In addition, a collection of benign (n = 2) and malignant (n = 6) mammary cell lines as well as breast carcinoma lysates (n = 16) were investigated for SERBP1 expression by Western blot analysis. Furthermore, applying non-radioisotopic in situ hybridisation a subset of normal (n = 10) and cancerous (n = 10) breast tissue specimens from the initial TMA were analysed for SERBP1 mRNA expression. RESULTS: SERBP1 is not differentially expressed in breast carcinoma compared to normal breast tissue, both at the RNA and protein level. However, recurrence-free survival analysis showed a significant correlation (P = 0.008) between abundant SERBP1 expression in breast carcinoma and favourable prognosis. Interestingly, overall survival analysis also displayed a tendency (P = 0.09) towards favourable prognosis when SERBP1 was overexpressed in breast cancer. CONCLUSIONS:
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Authors | Nuran Bektas Serce, Andreas Boesl, Irina Klaman, Sonja von Serényi, Erik Noetzel, Michael F Press, Arno Dimmler, Arndt Hartmann, Jalid Sehouli, Ruth Knuechel, Matthias W Beckmann, Peter A Fasching, Edgar Dahl |
Journal | BMC cancer
(BMC Cancer)
Vol. 12
Pg. 597
(Dec 13 2012)
ISSN: 1471-2407 [Electronic] England |
PMID | 23236990
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Biomarkers, Tumor
- RNA-Binding Proteins
- SERBP1 protein, human
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Topics |
- Biomarkers, Tumor
(analysis)
- Blotting, Western
- Breast Neoplasms
(metabolism, mortality, pathology)
- Disease-Free Survival
- Female
- Humans
- Immunohistochemistry
- In Situ Hybridization
- Kaplan-Meier Estimate
- Prognosis
- Proportional Hazards Models
- RNA-Binding Proteins
(analysis, biosynthesis)
- Real-Time Polymerase Chain Reaction
- Reverse Transcriptase Polymerase Chain Reaction
- Tissue Array Analysis
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