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Updated: Jun 5, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Validation and reproducibility of a microarray-based gene expression test for tumor identification in formalin-fixed,
Raji Pillai1, Rebecca Deeter, C Ted Rigl
1Pathwork Diagnostics, Inc., Redwood City, California 94063-4737, USA. rpillai@pathworkdx.com
A new gene expression test accurately identifies the tissue of origin for challenging cancer diagnoses. This diagnostic tool, using formalin-fixed, paraffin-embedded specimens, offers high accuracy and reproducibility for improved cancer classification.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genomics
Background:
- Diagnosing the primary site of metastatic or undifferentiated tumors is clinically challenging.
- Accurate tumor origin identification is crucial for effective treatment selection and patient management.
- Existing diagnostic methods may be limited for poorly characterized or metastatic cancers.
Purpose of the Study:
- To validate a gene expression-based diagnostic test for determining tumor tissue of origin.
- To assess the test's performance using formalin-fixed, paraffin-embedded (FFPE) tumor specimens.
- To evaluate the test's accuracy, reproducibility, and ability to rule out potential origins.
Main Methods:
- Generated microarray data from 462 FFPE tumor specimens with known reference diagnoses.
- Analyzed gene expression data using a 2000-gene classification model.
- Quantified similarity between specimen RNA expression patterns and 15 tissue types.
Main Results:
- Achieved 89% overall agreement with reference diagnoses across 462 FFPE specimens.
- Demonstrated high specificity, ruling out an average of 12 tissues with >99% probability per specimen.
- Showcased multisite reproducibility with 89.3% concordance between laboratories.
Conclusions:
- The gene expression-based Tissue of Origin Test is a validated and accurate tool for FFPE specimens.
- The test aids in diagnosing tumors with challenging primary sites, improving diagnostic confidence.
- Microarray-based gene expression analysis is feasible and beneficial for routine FFPE tumor diagnostics.
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