Identification of genes for normalization of real-time RT-PCR data in breast carcinomas
2008

Identifying Reference Genes for Breast Cancer RT-qPCR

Sample size: 18 publication Evidence: moderate

Author Information

Author(s): Maria B. Lyng, Anne-Vibeke Lænkholm, Niels Pallisgaard, Henrik J. Ditzel

Primary Institution: Odense University Hospital

Hypothesis

This study aims to identify stable reference genes for normalization of RT-qPCR data in invasive breast cancer.

Conclusion

The best reference genes for RT-qPCR in breast cancer are TBP, RPLP0, and PUM1, with PUM1 being the most stable single gene.

Supporting Evidence

  • The study identified TBP, RPLP0, and PUM1 as the most stable reference genes.
  • PUM1 was consistently identified as the single best gene for normalization.
  • The analysis included both ER+ and ER- breast cancer samples.

Takeaway

Scientists found three genes that help measure breast cancer accurately, making it easier to understand the disease.

Methodology

The study analyzed 18 tissue samples using RT-qPCR and statistical software to identify stable reference genes.

Limitations

The study had a small sample size and may not represent all breast cancer types.

Participant Demographics

The mean age of participants was 62 years, with a range of 44 to 90 years.

Digital Object Identifier (DOI)

10.1186/1471-2407-8-20

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