Comparative Analysis of Gene Expression Analysis Methods for RNA in Situ Hybridization Images

Eros Azzalini & Serena Bonin · 2024-07-26

Gene expression analysis is pivotal in cancer research and clinical practice. Although traditional methods lack spatial context, RNA in situ hybridization (RNA-ISH) is a powerful technique that retains spatial tissue information. Here, RNAscope score, RT-droplet digital PCR, and automated QuantISH and QuPath were used for quantifying RNA-ISH expression values from formalin-fixed, paraffin-embedded samples. The methods were compared using high-grade serous ovarian carcinoma samples, focusing on CCNE1, WFDC2, and PPIB genes. The findings demonstrate good concordance between automated methods and RNAscope, with RT-droplet digital PCR showing less concordance. Additionally, QuantISH exhibits robust performance, even for low-expressed genes like CCNE1, showcasing its modular design and enhancing accessibility as a viable alternative for gene expression analysis.
Funding

Horizon 2020

H2020

667403

H2020

965193

H2020

952179

Horizon 2020 Framework Programme

Syöpäsäätiö

Sigrid Juséliuksen Säätiö