A methodology for utilization of predictive genomic signatures in FFPE samples
2011

Using Genomic Signatures from FFPE Samples for Cancer Treatment

Sample size: 25 publication 10 minutes Evidence: moderate

Author Information

Author(s): Jennifer A Freedman, Christina K Augustine, Angelica M Selim, Kirsten C Holshausen, Zhengzheng Wei, Katherine A Tsamis, David S Hsu, Holly K Dressman, William T Barry, Douglas S Tyler, Joseph R Nevins

Primary Institution: Duke University Medical Center

Hypothesis

Can predictive genomic signatures be reliably generated from formalin-fixed, paraffin-embedded (FFPE) samples to guide cancer treatment?

Conclusion

Reliable and consistent predictions of oncogenic pathway activities can be obtained from FFPE tumor tissue samples.

Supporting Evidence

  • Significant correlation was observed between pathway activity predictions from paired fresh-frozen and FFPE xenograft tumor samples.
  • Concordance of pathway activity predictions was also observed between patient matched fresh-frozen and FFPE melanomas.
  • The ability to reliably utilize FFPE patient tumor tissue samples for genomic analyses will lead to better understanding of disease progression.

Takeaway

Scientists found a way to use old cancer samples to help doctors choose the best treatments for patients.

Methodology

The study compared gene expression data from fresh-frozen and FFPE tumor samples using Affymetrix arrays and MessageAmp Premier methodology.

Limitations

The study primarily focused on melanoma samples, which may limit the generalizability of the findings to other cancer types.

Participant Demographics

The study involved human-derived metastatic melanoma cell lines and patient samples.

Statistical Information

P-Value

p<0.0001 for RAS pathway, p=0.011 for MYC pathway

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1186/1755-8794-4-58

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