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Published on: November 2, 2013
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Mapping Molecular Diversity in Prostate Cancer With a Combined Multiplex IHC and RNA-ISH Assay
Shannon Carskadon1, Sean Williamson2, Sangeetha Jyothilingam1
1Department of Urology, Henry Ford Health, Detroit, MI, USA.
The Prostate
|December 12, 2025
Summary
A new dual immunohistochemistry (IHC) and RNA in situ hybridization (RNA-ISH) assay simultaneously detects key prostate cancer biomarkers (ERG, SPINK1, ETV1, ETV4). This method improves the study of tumor heterogeneity and molecular subtypes.
Area of Science:
- Oncology
- Molecular Pathology
- Biomarker Discovery
Background:
- Prostate cancer exhibits molecular heterogeneity driven by gene fusions and expression profiles of ERG, SPINK1, ETV1, and ETV4.
- These markers define distinct, mutually exclusive molecular subtypes with clinical significance.
- Current methods analyze these markers separately, hindering the study of their spatial relationships within tumors.
Purpose of the Study:
- To develop a multiplex assay for simultaneous detection of ERG, SPINK1, ETV1, and ETV4 in prostate cancer tissues.
- To enable spatial analysis of these key biomarkers within a single tissue section.
Main Methods:
- A combined dual immunohistochemistry (IHC) and dual RNA in situ hybridization (RNA-ISH) assay was created for formalin-fixed paraffin-embedded (FFPE) tissues.
- Validated antibodies were used for ERG and SPINK1 protein detection, and RNAscope probes for ETV1 and ETV4 mRNA.
- The assay was optimized for compatibility, contrast, and morphological preservation.
Main Results:
- The assay allowed concurrent visualization of ERG/SPINK1 proteins and ETV1/ETV4 transcripts in single sections.
- Mutually exclusive expression patterns confirmed known prostate cancer molecular subtypes.
- High-resolution spatial information on intra- and inter-tumoral heterogeneity was obtained, maintaining histological integrity.
Conclusions:
- The dual IHC/RNA-ISH platform provides a novel, reliable method for multiplex biomarker detection in prostate cancer.
- This approach facilitates molecular classification, biomarker validation, and comprehensive tumor heterogeneity assessment.
- It offers significant advantages for translational and diagnostic research in prostate cancer.

