AI Article Synopsis

  • Archival FFPE tissue specimens are underutilized resources for gene expression profiling, useful in discovering biomarkers, especially in cancer studies.
  • This study compares two RNA expression profiling platforms—Affymetrix and NanoString—using FFPE tissues from prostate and ovarian cancer, revealing their high sensitivity and reproducibility regardless of specimen age.
  • Both platforms produced similar gene expression results, supporting the use of archival specimens for large-scale biomarker validation in precision medicine.

Article Abstract

Archival formalin-fixed, paraffin-embedded (FFPE) tissue specimens represent a readily available but largely untapped resource for gene expression profiling-based biomarker discovery. Several technologies have been proposed to cope with the bias from RNA cross-linking and degradation associated with archival specimens to generate data comparable with RNA from fresh-frozen materials. Direct comparison studies of these RNA expression platforms remain rare. We compared two commercially available platforms for RNA expression profiling of archival FFPE specimens from clinical studies of prostate and ovarian cancer: the Affymetrix Human Gene 1.0ST Array following whole-transcriptome amplification using the NuGen WT-Ovation FFPE System V2, and the NanoString nCounter without amplification. For each assay, we profiled 7 prostate and 11 ovarian cancer specimens, with a block age of 4 to 21 years. Both platforms produced gene expression profiles with high sensitivity and reproducibility through technical repeats from FFPE materials. Sensitivity and reproducibility remained high across block age within each cohort. A strong concordance was shown for the transcript expression values for genes detected by both platforms. We showed the biological validity of specific gene signatures generated by both platforms for both cohorts. Our study supports the feasibility of gene expression profiling and large-scale signature validation on archival prostate and ovarian tumor specimens using commercial platforms. These approaches have the potential to aid precision medicine with biomarker discovery and validation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4483460PMC
http://dx.doi.org/10.1016/j.jmoldx.2015.02.002DOI Listing

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