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Erschienen in: Clinical and Translational Oncology 2/2014

01.02.2014 | Research Article

Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer

verfasst von: Y. Kılıç, A. Ç. Çelebiler, M. Sakızlı

Erschienen in: Clinical and Translational Oncology | Ausgabe 2/2014

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Abstract

Objective

The common reference genes of choice in relative gene expression studies based on quantitative real time polymerase chain reaction, ACTB and B2M, were shown to be regulated differently in respect to tissue type. In this study, the stability of the selected housekeeping genes for normalizing the qPCR data were identified in the tumor and its adjacent tissues in invasive breast cancer, and the variability of their levels according to the stages and the histopathologic subtypes was analyzed.

Methods

Four housekeeping genes: PUM1, RPL13A, B2M, and ACTB were analyzed in 99 surgically excised tissue specimens (50 tumor, 45 tumor adjacent and 4 normal breast tissues). Three of the most common softwares (GeNorm, NormFinder, and BestKeeper) were used for calculation purposes.

Results

When all of the tissue samples were included in analyses, PUM1 was the most stable gene according to calculations made with both NormFinder and BestKeeper; while PUM1/RPL13A combination was the most stable by GeNorm software. The PUM1 gene was also identified as the most stable gene among the four in all sample groups (in both Estrogen Receptor positive and Estrogen Receptor negative subgroups of invasive breast carcinoma and in normal breast tissue) according to calculations made using the NormFinder software.

Conclusion

While suggesting PUM1 is one of the most stable single gene and the PUM1/RPL13A pair as one of the best housekeeping genes for the normalization of expression studies in invasive breast tumor studies, it will be more practical to evaluate stability once more and decide upon the reference gene accordingly within the sample group itself.
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Metadaten
Titel
Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer
verfasst von
Y. Kılıç
A. Ç. Çelebiler
M. Sakızlı
Publikationsdatum
01.02.2014
Verlag
Springer Milan
Erschienen in
Clinical and Translational Oncology / Ausgabe 2/2014
Print ISSN: 1699-048X
Elektronische ISSN: 1699-3055
DOI
https://doi.org/10.1007/s12094-013-1058-5

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