Automated evaluation and normalization of immunohistochemistry on tissue microarrays with a DNA microarray scanner

Area of Science:

• Biomedical Engineering
• Molecular Pathology
• Cancer Research

Background:

• Tissue microarrays (TMA) allow simultaneous assessment of protein expression across numerous tissue samples.
• Immunohistochemistry is crucial for protein expression profiling in diagnostics but requires efficient quantification methods.

Purpose of the Study:

• To evaluate the use of DNA microarray scanners for automated analysis of TMA immunostaining.
• To assess the accuracy of protein expression quantification using this automated method.
• To demonstrate the normalization of immunosignals for cellular content in TMA cores.

Main Methods:

• Utilized a DNA microarray two-color laser scanner for automated analysis of indirect immunofluorescence on TMA sections.
• Analyzed human lung adenocarcinoma and squamous cell carcinoma TMAs.
• Performed double-label indirect immunofluorescence detection for normalization.

Main Results:

• Fluorescence intensity of epidermal growth factor receptors (EGFR and c-erbB2) correlated with diagnostic pathology assessments.
• Demonstrated successful quantification of protein expression levels via immunohistochemistry.
• Showcased normalization of tumor marker immunosignals using a reference antigen for cellular content.

Conclusions:

• DNA microarray scanners offer a general and efficient platform for analyzing TMA immunostaining.
• This automated approach facilitates accurate protein expression profiling and quantification.
• The method allows for reliable normalization of immunosignals, enhancing diagnostic accuracy.